Data Entry Jobs in Egypt

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b><span>Yassir</span></b><span> is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in </span><b><span>45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa</span></b><span>. It is backed (~</span><b><span>$200M in funding</span></b><span>) by VCs from Silicon Valley, Europe and other parts of the world. </span><br><span>We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. </span><br><span>Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.</span><br> <strong><span>About the Role</span></strong> <p><span>Yassir is seeking a highly skilled and motivated Data Analyst, of junior / mid / senior level, to join our Data Analytics team and contribute with shaping the business’s decision making and product offering on Financial Services in making it more data and insights driven. As a Data Analyst (FinTech), you will play a crucial role in analyzing data, helping us prioritize, assess, develop financial product features for our millions of users across Africa. Your expertise in both data processing, robust statistical analysis, insights derivation, hypothesis formulation and data visualization will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir’s most critical problems.</span></p><br> <br><br><p><b>About the team</b></p><br><p><span>The Data Analytics team is part of Yassir’s central Data &amp; AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to provide top-quality Analytics and BI insights to the business, being a proactive partner to our stakeholders, and ultimately to build a mature Data Culture supported by widespread data fluency, responsible and democratized data access, data-driven decision making and automation. We push the envelope of what’s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us!</span></p><br> <br><br><p><b>Responsibilities</b></p><br><ul> <li><ul> <li> <p><span>Analyze customer, transaction, merchant, and agent data to identify trends, opportunities, and performance drivers across Wallets, Payments, Bill Payments, Merchant Payments, P2P Transfers, and other Financial Services products.</span></p><br> </li> <li> <p><span>Partner with Product Managers, Operations, Risk, Finance, and Engineering teams to answer business questions through data and support product decision-making.</span></p><br> </li> <li> <p><span>Develop and maintain dashboards, reports, and KPI tracking frameworks to monitor customer growth, engagement, retention, transaction performance, and revenue metrics.</span></p><br> </li> <li> <p><span>Conduct deep-dive analyses on customer behavior, payment funnels, wallet activation, transaction success rates, merchant activity, and agent performance.</span></p><br> </li> <li> <p><span>Support product discovery and feature development by identifying customer pain points, behavioral patterns, and growth opportunities using data.</span></p><br> </li> <li> <p><span>Design, execute, and evaluate A/B tests, feature launches, promotional campaigns, and product experiments to measure impact and guide future improvements.</span></p><br> </li> <li> <p><span>Work closely with Data Science and Risk teams to support customer segmentation, fraud monitoring, credit risk analysis, and predictive modeling initiatives.</span></p><br> </li> <li> <p><span>Perform exploratory data analysis (EDA) to uncover actionable insights and support the development of data-driven product enhancements.</span></p><br> </li> <li> <p><span>Monitor data quality, identify anomalies, and collaborate with Data Engineering teams to improve tracking, instrumentation, and reporting accuracy.</span></p><br> </li> <li> <p><span>Communicate findings and recommendations clearly to both technical and non-technical stakeholders through presentations, reports, and dashboards.</span></p><br> </li> </ul><br></li></ul><br><p><b>Requirments</b></p><br><span>Essential</span> <ul> <li> <p><span>2–5 years of experience in Product Analytics, Business Analytics, Data Analytics, or a related analytical role.</span></p><br> </li> <li> <p><span>Strong SQL skills and practical experience working with large-scale customer and transaction datasets.</span></p><br> </li> <li> <p><span>Proficiency in Python for data analysis, statistical modeling, and data visualization.</span></p><br> </li> <li> <p><span>Experience working with digital products, preferably within Fintech, Payments, Wallets, Banking, Lending, or Financial Services.</span></p><br> </li> <li> <p><span>Solid understanding of statistics, hypothesis testing, experimentation, and data-driven decision-making.</span></p><br> </li> <li> <p><span>Experience building dashboards and reports using BI tools such as Looker Studio, Looker, Tableau, or Power BI.</span></p><br> </li> <li> <p><span>Ability to translate business questions into analytical approaches and communicate insights effectively to stakeholders.</span></p><br> </li> <li> <p><span>Familiarity with cloud-based data platforms, preferably Google Cloud Platform (GCP) and BigQuery.</span></p><br> </li> <li> <p><span>Strong problem-solving, analytical thinking, and attention to detail.</span></p><br> </li> <li> <p><span>Excellent written and verbal communication skills in English.</span></p><br> </li> </ul><span>Nice to have</span> <ul> <li> <p><span>Experience working with Wallets, Bill Payments, Merchant Payments, P2P Transfers, Agent Networks, Lending, or Credit products.</span></p><br> </li> <li> <p><span>Familiarity with fraud analytics, risk monitoring, customer lifecycle analysis, or fintech growth metrics.</span></p><br> </li> <li> <p><span>Exposure to machine learning, customer segmentation, or predictive analytics use cases.</span></p><br> </li> </ul><strong><span>Join the ride!</span></strong> <br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Our Company Teradata is the connected multi-cloud data platform for enterprise analytics company. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the future, today. The Teradata Vantage architecture is cloud native, delivered as-a-service, and built on an open ecosystem. These design features make Vantage the ideal platform to optimize price performance in a multi-cloud environment.</p><p>What You ll Do</p><p>What the role is about: As a Senior Data Scientist at Teradata, you will lead data science projects, develop predictive models, and provide actionable insights to support strategic business initiatives. You will leverage your expertise in data analysis, machine learning, and statistical modeling to drive impactful solutions.</p><p>What impact this role has: Your work will directly influence business decisions, optimize operations, and drive innovation. By uncovering trends and patterns in data, you will help Teradata stay ahead in the competitive landscape and deliver exceptional value to our clients.</p><p>What success might look like: Success in this role means delivering high-quality data science solutions that meet business needs, mentoring junior team members, and continuously improving our data science practices. You will be recognized for your ability to translate complex data into actionable insights and for driving measurable business outcomes.</p><p>Who You ll Work With</p><p>An outline of the team: You will be part of a collaborative and dynamic data science team that works closely with data engineers, project managers, and business stakeholders both internally and externally. The team is dedicated to leveraging data to solve complex problems and drive business growth.</p><p>The role and the team play at Teradata: The data science team at Teradata plays a crucial role in transforming data into strategic assets. Your contributions will help shape the direction of our data initiatives and ensure we deliver cutting-edge solutions to our clients.</p><p>Who the position reports to: This position reports to the Data Science Team Manager.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Minimum of 5 years of experience in data science or analytics.</li><li>Proficiency in programming languages such as Python and SQL.</li><li>Strong understanding of statistical methods and machine learning techniques.</li><li>Proficiency in advanced deep learning algorithms and GenAI</li><li>Excellent communication and presentation skills.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>About the Role &amp; Team</p><p>IDC is seeking a Data Analyst to join our SW Data team , motivated to learn about the Software domain, market research and data analysis, to join our Software Data team. If you are passionate about technology, eager to explore market trends, and ready to develop your analytical and technical skills, we offer the perfect platform for your professional growth. Our team is committed to nurturing talent, providing extensive training, and supporting long-term career development.</p><p>What You ll Do</p><ul><li>Market Research: Conduct primary and secondary research focused on the software market.</li><li>Industry Analysis: Support and deliver industry and technology research for qualitative and data-focused products in a global team.</li><li>Data Management: Engage in data management, transformation, and modelling. Develop your skills in data visualization to turn complex information into actionable insights. Utilize quantitative tools for market sizing and forecasting.</li><li>Consulting Support: Assist in specific consulting projects, contributing to bespoke client solutions.</li><li>Industry Expertise: Develop and maintain thorough knowledge of vendor strategies and key market dynamics within key Software areas.</li><li>Collaboration: Work with regional and global teams to leverage diverse perspectives.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>2+ years of experience in market research, data analytics, or other relevant experience</li><li>Bachelor's degree in Economics, Statistics, Information Sciences, Social Sciences, or a related field</li><li>Strong analytical thinking with a creative approach to problem-solving and data analysis</li><li>Strong English written and verbal communication skills</li><li>Advanced Microsoft Excel skills required; proficiency in Power BI are a plus</li><li>Familiarity and interest in growing expertise with GenAI tools</li><li>Ability to use Python for data analysis is a plus</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>As a Data Scientist at our organization, you will constructively disrupt current Data Science practices and design new and better models that transform current and future business processes. You will be expected to directly contribute to the design and development of scaled Data Science algorithms and work with Data and Software Engineering teams to productionize algorithms. You will apply thorough technical knowledge to massive datasets with exploratory data analysis, feature engineering, and model building to deliver accurate and impactful algorithms. You will develop others as a technical coach and lead or actively participate and contribute to a community of practice group. Lastly, you will become a known expert on one or multiple Data Science techniques and quantify improvement in business areas resulting from the use of the algorithms and modeling.</p><p>Key Responsibilities:</p><ul><li>Directly contribute to the design and development of scaled Data Science algorithms.</li><li>Work with Data and Software Engineering teams to productionize algorithms.</li><li>Apply thorough technical knowledge to massive datasets with exploratory data analysis, feature engineering, and model building.</li><li>Develop others as a technical coach.</li><li>Become a known expert on one or multiple Data Science techniques.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Demonstrates depth of applied IT skills across at least two IT job profiles.</li><li>Bachelor's degree on Data Science, Actuarial Science, Engineering, Computer Science or any related major.</li><li>1 to 3 years of relative experience.</li><li>Requires at least three relevant roles with experience across domains, OUs, or sub-OUs.</li><li>Influences senior leaders on key organizational, business, and technology decisions.</li><li>Sets and executes IT strategy at the P&amp;G OU, service category, major company IT platform, or infrastructure level.</li><li>Actively participates in developing others in the function.</li></ul><p></p></section>

<p>Are you a passionate <strong>Data Analyst</strong> ready to transform raw data into actionable insights? We are seeking an experienced professional to join our dynamic IT/Software Development team in the vibrant city of <strong>Alexandria, Egypt</strong>. This is a unique opportunity to leverage your analytical prowess in a <strong>hybrid work environment</strong>, blending the best of office collaboration and remote flexibility.</p><p><strong>Overview:</strong> As a Data Analyst, you will be at the forefront of understanding complex datasets, identifying trends, and providing crucial recommendations that drive strategic business decisions. You'll work within a supportive team committed to innovation and excellence, making a tangible impact on our projects and products.</p><ul><li><strong>Responsibilities:</strong></li><li>Perform comprehensive data analysis to identify patterns, anomalies, and opportunities for improvement.</li><li>Design, develop, and maintain robust dashboards and reports to visualize key performance indicators.</li><li>Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.</li><li>Utilize statistical methods to interpret data and present findings clearly and concisely to stakeholders.</li><li>Ensure data integrity and accuracy across various systems.</li><li>Contribute to the continuous improvement of data collection, analysis, and reporting processes.</li></ul><ul><li><strong>Skills & Technologies:</strong></li><li>You will be expected to bring strong skills in <strong>Computer Science</strong> principles, a deep understanding of <strong>Data Analysis</strong> methodologies, and a solid background in <strong>Information Technology (IT)</strong>. Proficiency in tools like <strong>SQL</strong> and programming languages such as <strong>Python</strong> is crucial. Experience with <strong>Data Visualization</strong> tools and <strong>Statistical Analysis</strong> techniques will be highly valued.</li></ul><ul><li><strong>Growth Opportunities:</strong></li><li>We are committed to your professional development. You'll have access to cutting-edge technologies and continuous learning opportunities to expand your expertise in areas like advanced analytics, machine learning, and big data platforms. Grow your career within a company that values innovation and personal advancement.</li></ul><ul><li><strong>Team & Culture:</strong></li><li>Join a collaborative and inclusive team where your ideas are heard, and your contributions are celebrated. Our culture fosters creativity, problem-solving, and a shared passion for technology. We believe in empowering our employees to achieve their full potential while maintaining a healthy work-life balance.</li></ul><ul><li><strong>Impact:</strong></li><li>Your work will directly influence product development, operational efficiency, and strategic planning. You'll play a pivotal role in shaping our data-driven future, helping us make smarter decisions and deliver exceptional value to our users.</li></ul><p><strong>Requirements</strong></p><ul><li>Are you ready to elevate your career and make a significant impact? We are seeking an <strong>Experienced Data Analyst</strong> with a passion for data-driven insights.</li><li><strong>Required Skills:</strong> We're looking for individuals with a strong foundation in <strong>Computer Science</strong>, proven expertise in <strong>Data Analysis</strong>, and a solid understanding of <strong>Information Technology (IT)</strong>. Essential skills include proficiency in <strong>SQL</strong> for querying and manipulating data, strong command of <strong>Python</strong> for data processing and analysis, experience with <strong>Data Visualization</strong> tools, and a solid grasp of <strong>Statistical Analysis</strong>. Knowledge of <strong>Database Management</strong>, <strong>ETL</strong> processes, and fundamental <strong>Machine Learning</strong> concepts will set you apart. Beyond technical prowess, excellent <strong>Problem Solving</strong>, <strong>Communication</strong>, and <strong>Critical Thinking</strong> abilities are paramount.</li><li><strong>Experience Requirements:</strong> Candidates should possess between <strong>3 to 7 years of relevant professional experience</strong> in data analysis or a related IT field.</li><li><strong>Career Level Expectations:</strong> This role is ideal for an <strong>Experienced</strong> professional eager to take on significant challenges and contribute to high-impact projects.</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>As a Data Analyst, you'll play a key role in supporting Finance and the wider business with reliable reporting and meaningful insights. You'll improve existing reports, build new dashboards, and help stakeholders understand the story behind the numbers. Reporting &amp; Analytics Build, maintain and improve Power BI dashboards and reports for Finance and other business functions. Deliver reporting on key business metrics such as ARR, MRR, profitability, ROI and customer performance. Translate business questions into clear reports and visualizations that support data-driven decision making. Continuously improve existing reports by making them more user-friendly, accurate and actionable. Data Management Build and maintain data models using Power Query. Combine and transform data from multiple business systems, including Microsoft Dynamics 365 Business Central, CRM and billing platforms. Ensure reporting is based on consistent, reliable and well-understood data. Act as the technical owner of Microsoft Dynamics 365 Business Central within Finance, supporting reporting improvements, system enhancements, and data quality initiatives. Work closely with IT and Data Engineering to understand data sources and improve data quality where needed. Business Partnering Collaborate with Finance, Customer Success and other departments to understand reporting needs. Explain calculations, KPIs and data sources to business stakeholders in a clear and accessible way. Support ad hoc analyses and provide insights that help improve business performance. Stay curious about new technologies, including Microsoft 365 Copilot and AI-powered productivity tools, and explore how they can help simplify Finance workflows.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>3-5 years of experience as a Data Analyst, BI Analyst or in a similar analytics role. Strong hands-on experience with both Power BI and Power Query is required. Experience working with financial or operational reporting. Experience working with ERP systems, preferably Microsoft Dynamics 365 Business Central. Strong analytical skills and the ability to translate complex data into meaningful business insights. (Near) native English and excellent communication skills with the confidence to explain reports, calculations and data to non-technical stakeholders. A proactive mindset with the ability to work independently and take ownership of reporting.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>What you'll be doing As a Data Analyst, you'll play a key role in supporting Finance and the wider business with reliable reporting and meaningful insights. You'll improve existing reports, build new dashboards, and help stakeholders understand the story behind the numbers. Reporting &amp; Analytics Build, maintain and improve Power BI dashboards and reports for Finance and other business functions. Deliver reporting on key business metrics such as ARR, MRR, profitability, ROI and customer performance. Translate business questions into clear reports and visualizations that support data-driven decision making. Continuously improve existing reports by making them more user-friendly, accurate and actionable. Data Management Build and maintain data models using Power Query. Combine and transform data from multiple business systems, including Microsoft Dynamics 365 Business Central, CRM and billing platforms. Ensure reporting is based on consistent, reliable and well-understood data. Act as the technical owner of Microsoft Dynamics 365 Business Central within Finance, supporting reporting improvements, system enhancements, and data quality initiatives. Work closely with IT and Data Engineering to understand data sources and improve data quality where needed. Business Partnering Collaborate with Finance, Customer Success and other departments to understand reporting needs. Explain calculations, KPIs and data sources to business stakeholders in a clear and accessible way. Support ad hoc analyses and provide insights that help improve business performance. Stay curious about new technologies, including Microsoft 365 Copilot and AI-powered productivity tools, and explore how they can help simplify Finance workflows.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>3-5 years of experience as a Data Analyst, BI Analyst or in a similar analytics role. Strong hands-on experience with both Power BI and Power Query is required. Experience working with financial or operational reporting. Experience working with ERP systems, preferably Microsoft Dynamics 365 Business Central. Strong analytical skills and the ability to translate complex data into meaningful business insights. (Near) native English and excellent communication skills with the confidence to explain reports, calculations and data to non-technical stakeholders. A proactive mindset with the ability to work independently and take ownership of reporting.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Job Description:</p><br><p><b><span>Data and AI Governance Lead</span></b></p><br><br><p><b><span>Egypt&nbsp;</span></b></p><br><br><p><b><span>Full Time&nbsp;</span></b></p><br><br><p><b><span>We make health happen:</span></b><span><span>The Data &amp; AI Governance Lead will work with both Business and IT stakeholders to ensure comprehensive BG’s delivery against our BGIUK Data Governance and RAI</span></span><br><span><span>Policies and frameworks to</span><span>determine</span><span>the scope,</span><span>controls</span><span>and implementation pathways for Bupa Global. The role holder will work with IT and business partners to develop and deliver Data and AI Governance solutions (policy, technology, process, and organisation) that satisfy the</span></span><br><span><span>requirements. The Data &amp; AI Governance Lead will work within the Transformation and Change function, reporting into the Head of Data.</span></span></p><br><br><p><b><span>How</span><span>you’ll</span><span>help us make health happen:</span></b></p><br><br><ul><li><span><span>You will lead Data Governance and AI reporting, responding to internal and external requests while managing associated risk registers.</span></span></li></ul><br><ul><li><span><span>You will define, implement, and</span><span>maintain</span><span>the Data &amp; AI Governance Framework,</span><span>establishing</span><span>policies and standards across data quality, metadata, privacy, and lifecycle management, aligned to regulatory and business requirements.</span></span></li></ul><br><ul><li><span><span>You will own the Data Governance Operating Model, defining roles across data owners and stewards and embedding effective processes for stewardship, issue resolution, and change management.</span></span></li></ul><br><ul><li><span><span>Driving data quality will be a key focus, including defining KPIs, implementing monitoring and reporting, and working with stakeholders to resolve issues. You will also oversee metadata and data cataloguing, ensuring</span><span>accurate</span><span>definitions, lineage, and classifications.</span></span></li></ul><br><ul><li><span><span>You will manage data access, privacy, and compliance, working closely with security teams, while promoting data literacy through training and guidance across the organisation.</span></span></li></ul><br><ul><li><span><span>You will support strategic data initiatives, ensuring governance is embedded from design through to delivery. You will produce reporting on data health, quality, and compliance, presenting insights to senior stakeholders.</span></span></li></ul><br><ul><li><span><span>You will define and</span><span>maintain</span><span>the AI Governance and Responsible AI Frameworks, ensuring safe and ethical AI use.</span></span></li></ul><br><ul><li><span><span>You will oversee AI risk management,</span><span>identifying</span><span>and mitigating risks such as bias, data leakage, and model vulnerabilities, and conducting risk assessments for AI use cases. You will also manage the AI risk register and governance processes.</span></span></li></ul><br><ul><li><span><span>You will lead cross-functional governance forums, bringing together stakeholders across Legal, Security, Data, and Product. You will continuously improve governance processes, controls, and reporting to support effective risk management and decision-making.</span></span></li></ul><br><p><b><span>Key Skills / Qualifications needed for this role:</span></b></p><br><br><ul><li><span><span>Demonstrable experience in Data and AI Governance, with a solid understanding of frameworks, policies, and best practices.</span></span></li></ul><br><ul><li><span><span>First-class stakeholder engagement skills, with the ability to build strong relationships and influence at all levels of the organisation.</span></span></li></ul><br><ul><li><span><span>Proven experience in risk management, with the ability to</span><span>identify</span><span>, assess, and mitigate risks effectively.</span></span></li></ul><br><ul><li><span><span>Experience working with controls, including the design, implementation, and ongoing assurance of governance and risk frameworks.</span></span></li></ul><br><ul><li><span><span>Hands-on experience developing, implementing, or working with data management and governance tools.</span></span></li></ul><br><ul><li><span><span>Strong analytical, interpersonal, and communication skills, with the ability to present complex concepts clearly both verbally and in writing.</span></span></li></ul><br><ul><li><span><span>Experience within regulated Financial Services is preferred, ideally within Insurance.</span></span></li></ul><br><ul><li><span><span>A background working with data, AI, or data governance is essential, alongside the ability to clearly</span><span>demonstrate</span><span>prior experience in risk or governance-focused roles.</span></span></li></ul><br><p><b><span>Why Bupa</span></b></p><br><br><p><span><span>Bupa Global is the international health insurance division of Bupa. We provide customers who want premium international coverage with products and services to access the healthcare they need anytime, around the world, whether at home or when studying, living,</span><span>travelling</span><span>or working abroad.</span></span><br><br><span><span>Bupa Global has offices around the world including London and Brighton (UK), Dublin (Europe), Miami (USA), Dubai (UAE, in partnership with OIC), Egypt and Hong Kong (China) as well as regional offices in mainland China, Singapore, the Dominican Republic, Bolivia, Panama, Guatemala and Ecuador.</span></span></p><br><br><p>Time Type:</p><br>Full time<p>Job Area:</p><br>IT<p>Locations:</p><br>Egypt - Cairo </div>

<p><h4>Join us</h4> <p>At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.</p> <h4>Role profile</h4> <p>The role primarily focuses (100%) on delivering end to end development solutions for BI and Big Data quality tasks, including pipelines, data trends and dashboards plus managing the system optimization, monitoring workflow performance, administering DWH applications and Big Data clusters, managing vendor communications, and handling system upgrades.</p> <h4>Data quality management</h4> <ul> <li>Design, develop, and implement solutions to monitor, validate, and improve data accuracy, consistency, and completeness.</li> </ul> <h4>Pipeline development & optimization</h4> <ul> <li>Build data quality gates to ensure and maintain scalable data pipelines for processing and validating large datasets efficiently.</li> </ul> <h4>ETL & data integrations</h4> <ul> <li>Develop and enhance ETL processes to ensure seamless data movement across systems while maintaining data quality dashboards end to end development flow.</li> </ul> <h4>Data governance & compliance</h4> <ul> <li>Ensure adherence to data governance policies, regulatory standards, and best practices for data management.</li> </ul> <h4>Root cause analysis & issue resolution</h4> <ul> <li>Investigate data anomalies, identify root causes, and implement corrective measures proactively.</li> </ul> <h4>Automation & monitoring</h4> <ul> <li>Develop automation scripts and monitoring frameworks to streamline data quality checks and alert on anomalies.</li> </ul> <h4>Performance tuning</h4> <ul> <li>Optimize query performance, database indexing, and system configurations to enhance efficiency.</li> </ul> <h4>Stakeholder communication</h4> <ul> <li>Work closely with data analysts, engineers, business teams, and vendors to ensure data quality objectives are met.</li> </ul> <h4>Competencies and qualifications</h4> <p>Understanding the critical role in ensuring the quality, performance, and reliability of data solutions. The responsibilities and mindset should include:</p> <ul> <li><strong>Commitment to high data quality</strong><br> Passion for developing optimized code to ensure data quality to end user and develop the dashboards for analysis, optimizing performance, and applying a scientific approach to tuning and analysis.</li> <li><strong>Agile community experience</strong><br> Working in Agile teams in order to ensure delivering the needed quality gates and proactive actions.</li> <li><strong>Customer oriented approach</strong><br> A deep understanding of customer needs, ensuring that every developed feature and solution enhances the end user experience while proactively identifying and addressing potential issues before they arise. Committed to delivering solutions that enhance customer experience and satisfaction.</li> </ul> <h4>Must have technical / professional qualifications</h4> <ul> <li>Bachelor of Computer Science or related domains.</li> <li>0 to 1 years in engineering, specifically in building quality gates for data pipelines, ensuring data accuracy, and administering distributed systems.</li> <li>Experience in Big Data systems and technologies such as Java, Python, NoSQL, Node.js, Angular, Kafka, Yarn, HBase, Zookeeper, and understanding of distributed systems like Hadoop (HDFS).</li> <li>Knowledge of data processing frameworks, such as Apache Hadoop (MapReduce), Apache Spark, Apache Kafka.</li> <li>Understanding of data warehousing concepts and technologies.</li> <li>Familiarity with ETL tools and processes for efficiently moving and transforming data.</li> </ul> <h4>Not a perfect fit?</h4> <p>Worried that you don’t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you’re excited about this role but your experience doesn’t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.</p> <h4>Who we are</h4> <p>We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.</p> <p>Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.</p> <h4>Accessibility</h4> <p>If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to the relevant guidance provided by Vodafone.</p> <p>Together we can.</p></p><p></p>

<p><h4>Who we are</h4> <p>VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through talent, technology & transformation.</p> <p>As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and third party capability.</p> <p>We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.</p> <p>#VOIS #BeUnrivalled #CreateTheFuture</p> <h4>About this role</h4> <p>We are seeking a senior data engineer to design, build, and optimise scalable data solutions that enable effective use of large datasets. This role focuses on improving data systems, ensuring data quality and accessibility, and supporting informed decision-making across the business through reliable data platforms and insights.</p> <h4>What you’ll do</h4> <ul> <li>Analyse and manage raw data across existing data collection systems, recommending improvements and enhancements</li> <li>Design, build, and implement new data collection and processing systems where required</li> <li>Ensure data systems are secure, scalable, and accessible to relevant stakeholders</li> <li>Maintain and document code for future upgrades, enhancements, and system maintenance</li> <li>Provide guidance, training, and support to stakeholders on newly implemented systems</li> </ul> <h4>Who you are</h4> <ul> <li>Bachelor’s degree in computer science, engineering, or a related field</li> <li>Proven experience (5+ years) in a similar data engineering role</li> <li>Strong expertise in data management (ETL), data modelling, visualisation tools (e.g., Tableau, Power BI), and data pipeline development</li> <li>Proficiency in SQL and experience in programming languages such as Python or Java</li> <li>Experience with Linux environments, shell scripting, and big data tools such as Hadoop and Spark</li> <li>Familiarity with cloud platforms (preferably AWS or GCP), data governance, and warehousing solutions</li> <li>Strong analytical thinking, problem-solving ability, and attention to detail</li> <li>Effective communication and stakeholder engagement skills</li> </ul> <h4>Not a perfect fit?</h4> <p>Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.</p> <h4>What's in it for you</h4> <ul> <li>Opportunity to work on large-scale, global data platforms and advanced analytics solutions</li> <li>Exposure to modern data technologies, cloud infrastructure, and big data ecosystems</li> <li>A collaborative environment that encourages innovation, learning, and continuous improvement</li> <li>Opportunities to contribute to high-impact business decisions through data-driven insights</li> </ul> <h4>What skills you will learn</h4> <ul> <li>Advanced data engineering techniques and scalable system design</li> <li>Hands-on experience with cloud-based data platforms and big data tools</li> <li>Data governance, security, and compliance practices in enterprise environments</li> <li>Stakeholder engagement and translating business needs into technical solutions</li> </ul> <h4>VOIS equal opportunity employer commitment</h4> <p>Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.</p> <h4>Join us</h4> <p>At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.</p> <p>We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.</p> <p>With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.</p> <h4>Alert</h4> <p>Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> We are looking for Senior Data Analyst who has deep technical analytics with business partnership. In this role you aren't just expected to build dashboards, you're expected to own the entire analytical lifecycle and influence business decisions.&nbsp;<br><br><p><b>What you'll do:</b></p><br><ul> <li>Own analytics for one or more business domains (such as Lending, Payments, Risk, Sales, or Growth), acting as the primary analytics partner for stakeholders.</li> <li>Translate ambiguous business questions into clear analytical problems, delivering actionable insights that drive decision-making.</li> <li>Build, maintain, and govern trusted metrics and dashboards in Looker using LookML, ensuring consistent definitions and a reliable single source of truth.</li> <li>Conduct advanced analyses, including funnel diagnostics, cohort analysis, segmentation, churn and activation analysis, and causal inference, to uncover not just what happened, but why.</li> <li>Partner directly with senior stakeholders to scope requests, prioritize work, communicate findings, and confidently present analytical recommendations.</li> <li>Ensure data quality by validating datasets, reconciling discrepancies, and identifying limitations related to data availability or privacy requirements.</li> <li>Contribute to the analytics platform by improving documentation, semantic models, coding standards, and best practices that enable the team to scale.</li> <li>Communicate insights through concise dashboards, presentations, and documentation tailored to different audiences.<br></li> </ul><br><p><b>To succeed in this role, you'll need to have:</b></p><br><ul><li><ul> <li>5+ years of experience in data analytics, including at least 2 years operating independently in a senior individual contributor capacity.</li> <li>Background in fintech or banking is strongly preferred.</li> <li>Advanced SQL with strong understanding of complex datasets and multi-row relationships.</li> <li>Experience with cloud data warehouses such as BigQuery (preferred), Snowflake, or Redshift.</li> <li>Strong experience building governed BI solutions in Looker/LookML or comparable platforms such as Tableau or Power BI.</li> <li>Experience with dbt or similar data transformation frameworks.</li> <li>Working knowledge of Python or R for analysis and automation.</li> <li>Strong foundation in statistics, experimentation, and causal analysis (A/B testing, cohort analysis, regression, diff-in-diff, regression discontinuity, etc.).</li> <li>Ability to transform ambiguous business questions into well-scoped analytical projects.</li> <li>Strong analytical judgment and methodological rigor.</li> <li>Excellent stakeholder management and communication skills.</li> <li>Commitment to data quality, governance, and consistent metric definitions.</li> <li>Ability to work autonomously and own projects from problem definition through delivery.</li> </ul></li></ul><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><div><span >JOB TITLE: Data Analyst</span></div><div><span ><br></span></div><div><span >TYPE OF CONTRACT: SC-5</span></div><div><span ><br></span></div><div><span >UNIT/DIVISION: TEC</span></div><div><span ><br></span></div><div><span >DUTY STATION (City, Country): MENAEERO</span></div><div><span ><br></span></div><div><span >DURATION: 12 months</span></div><div><span ><br></span></div><div><span ><b>BACKGROUND AND PURPOSE OF THE ASSIGNMENT:</b></span></div><div><span ><br></span></div><div><span >Assisting more than 115.5 million people in 120 + countries each year, the World Food Program (WFP) is the leading humanitarian organization saving lives and changing lives, delivering food assistance in emergencies, and working with communities to improve nutrition and build resilience. As the international community has committed to end hunger, achieve food security and improved nutrition by 2030, one in nine people worldwide still do not have enough to eat. Food and food-related assistance lie at the heart of the struggle to break the cycle of hunger and poverty.</span></div><div><span ><br></span></div><div><span >WFP Technology Division (TEC) is the digital business engine of the World Food Programme, providing the business with multi-pronged and resilient technical capabilities able to respond with the agility required in humanitarian operations. Technology and connectivity are rapidly reaching some of the most vulnerable people and places affected by crisis, but they are also increasingly expanding to the services responding to those same crises. As one of the main humanitarian actors, WFP has the opportunity and the obligation to leverage data and technology to better know and serve those in need by digitally transforming the way it works.</span></div><div><span ><br></span></div><div><span >The job holder will be based and working for WFP Regional Office for the middle east, north Africa, and eastern Europe (MENAEERO) which is located in Cairo. The regional office provides strategic direction, technical guidance, resource mobilization and management support to WFP operations and activities.</span></div><div><span ><br></span></div><div><span >ACCOUNTABILITIES/RESPONSIBILITIES:</span></div><div><span ><br></span></div><div><span >Reporting to the Lead Data Scientist in the MENAEERO Data &amp; Analytics team,the Data Analyst will be responsible for providing the following services in support of regional data, reporting and decision-making initiatives:</span></div><div><span ><br></span></div><div><span >Gather, document and translate business requirements into clear analytical questions, KPIs and reporting specifications.</span></div><div><span ><br></span></div><div><span >Extract, clean and manipulate data from multiple sources (e.g., relational databases, files and APIs) to create analysis-ready datasets.</span></div><div><span ><br></span></div><div><span >Develop and maintain data models (logical and semantic layers) that enable consistent, trusted reporting and self-service analytics.</span></div><div><span ><br></span></div><div><span >Build, publish and optimize Tableau dashboards and reports, ensuring usability, performance and alignment with agreed KPIs</span></div><div><span ><br></span></div><div><span >Write and optimize database queries (SQL) to support recurring reporting, ad-hoc analysis and automation of data pulls.</span></div><div><span ><br></span></div><div><span >Implement basic data quality checks and reconciliation routines; document data definitions, lineage and assumptions to improve transparency and reusability.</span></div><div><span ><br></span></div><div><span >Other tasks as required.</span></div><div><span ><br></span></div><div><span ><b>QUALIFICATIONS &amp; EXPERIENCE REQUIRED:</b></span></div><div><span ><br></span></div><div><span >Minimum Qualifications and Experience</span></div><div><span ><br></span></div><div><span >Two years of relevant experience plus a university degree in Computer Science, Information Systems, Statistics, Economics or a related field. Working knowledge of cloud platforms (e.g., AWS) is considered an advantage.</span></div><div><span ><br></span></div><div><span >Skills and Competencies:</span></div><div><span ><br></span></div><div><span >Advanced Tableau skills (dashboard design, calculated fields, parameters, LOD expressions and performance optimization).</span></div><div><span ><br></span></div><div><span >Strong data manipulation skills using spreadsheets and/or scripting (e.g., Excel Power Query; Python/R as an advantage) to automate repeatable analysis.</span></div><div><br></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Two years of relevant experience plus a university degree in Computer Science, Information Systems, Statistics, Economics or a related field. Working knowledge of cloud platforms (e.g., AWS) is considered an advantage.</p><ul><li>Advanced Tableau skills (dashboard design, calculated fields, parameters, LOD expressions and performance optimization).</li><li>Strong data manipulation skills using spreadsheets and/or scripting (e.g., Excel Power Query; Python/R as an advantage) to automate repeatable analysis.</li><li>Strong database querying skills (SQL), including joins, aggregations, window functions and query optimization basics.</li><li>Strong attention to data quality, validation and reconciliation; ability to identify anomalies and ensure metric consistency across reports.</li><li>Solid understanding of data modelling concepts (star schema, dimensional modelling, metrics layers) and data manipulation techniques to prepare reliable datasets.</li><li>Ability to communicate insights clearly through data storytelling, concise written reporting and stakeholder-ready presentations.</li><li>Excellent interpersonal skills; ability to work inclusively and collaboratively with diverse stakeholders and translate needs into actionable analytics.</li><li>Ability to create and maintain clear documentation (data dictionaries, KPI definitions, dashboard guides) and contribute to data governance practices.</li><li>Ability to work and adapt professionally and effectively in a challenging environment; ability to work effectively in a multicultural team of international and national personnel.</li><li>Self-motivated, ability to work on MVPs in an agile environment; ability to work with tight deadlines.</li><li>Sound security awareness.</li><li>Have affinity with or interest in leveraging data analytics in humanitarian domain as an enabler for durable development, and the UN System.</li><li>Proficiency (read/ write/ speak) in English.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Data and Infrastructure Engineer responsibility is in two main aspects; First, responsible for organizing, collecting, processing, and storing of data from different sources and transforming raw, unstructured data into formats that can be used for analysis including architectures such as databases, servers, and large-scale processing systems. Second, responsible for the design, planning, management, maintenance, and support, and any other technological duties associated with an organization's cloud computing environment including support of an application on any Schlumberger supported cloud. </p>Other Reports to:Service Delivery Engineer - SIS (82720011) or D&amp;I Solutions Delivery Manager (82940262) <br> <ul><li>Managing cloud environments in accordance with company security guidelines.</li><li>Act as focal point for gathering system requirements from application architects and owners to ensure seamless transformation and loading of data across different cloud vendors such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform.</li><li>Responsible for Data loading, data migration, and data retrieval.</li><li>Be customer advisor on data governance, policies, roles, and dataflow.</li><li>Responsible for assembling large, complex sets of data that meet non-functional and functional business requirements.</li><li>Perform data mapping, data quality control for one to multiple data sources.</li><li>Run assessment of a company data and infrastructure environment with proposed improvement and recommendations.</li><li>Work with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues.</li><li>Use API knowledge to design RESTful services, and integrate them with existing data providers, using JSON or XML as needed.</li><li>Responsible for maintaining existing company databases using experience; which includes a working knowledge of SQL and NoSQL, and related data stores such as Postgres.</li><li>Resopsible for debugging technical issues inside a complex stack involving virtualization, containers, microservices, etc.</li><li>Collaborates with the engineering teams to enable digital applications to run on cloud infrastructure correctly, performantly and efficiently.</li><li>Responsible for the deployment using container technologies: Docker and Kubernetes.</li><li>Gather/Keep experience working with OpenStack, Linux/UNIX, Rackspace, Docker and Microsoft Azure as applicable for the customer and Schlumberger implementation.</li><li>Responsible for having a working knowledge of web services, APIs, REST and RPC.</li><li>Handle incoming incidents change requests and problems as a first line of support.</li><li>Responsible for operating, designing development, testing and implementing of infrastructure systems and hardware with automation in mind.</li><li>Responsible for estimating project value/development plans, evaluating from an infrastructure point-of-view and maintain close liaison with the customer.</li><li>Responsible for maintaining accurate and up-to-date documentation on all activities.</li><li>Participates in out-of-office on-call rotation as required.</li><li>Responsible for installing and configuring IOT Agora solutions including Infrastructure, network setup &amp; SDK Implementation.</li><li>Maintains and supporting existing on-premises applications from licensing, installation, and configuration if applicable.</li><li>Responsible for gather/developing experience working on OSDU community code and Schlumberger Enterprise Data Management (EDM) workflows.</li></ul><p>Experience 0-3 Years</p><br><p>SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, national origin, age, disability, or other characteristics protected by law.</p><br> </div>

<p style=\"text-align:left\"><b>Job Location</b></p>CAIRO BUSINESS OFFICE<p style=\"text-align:inherit\"></p><p style=\"text-align:left\"><b>Job Description</b></p><p>As a Data Scientist at our organization, you will constructively disrupt current Data Science practices and design new and better models that transform current and future business processes. You will be expected to directly contribute to the design and development of scaled Data Science algorithms and work with Data and Software Engineering teams to productionize algorithms. You will apply thorough technical knowledge to massive datasets with exploratory data analysis, feature engineering, and model building to deliver accurate and impactful algorithms. You will develop others as a technical coach and lead or actively participate and contribute to a community of practice group. Lastly, you will become a known expert on one or multiple Data Science techniques and quantify improvement in business areas resulting from the use of the algorithms and modeling.</p><p></p><p><b>Key Responsibilities:</b></p><ul><li><p>Directly contribute to the design and development of scaled Data Science algorithms.</p></li><li><p>Work with Data and Software Engineering teams to productionize algorithms.   </p></li><li><p>Apply thorough technical knowledge to massive datasets with exploratory data analysis, feature engineering, and model building.</p></li><li><p>Develop others as a technical coach.   </p></li><li><p>Become a known expert on one or multiple Data Science techniques.</p></li></ul><p></p><p style=\"text-align:inherit\"></p><p style=\"text-align:left\"><b>Job Qualifications</b></p><ul><li><p>Demonstrates depth of applied IT skills across at least two IT job profiles.</p></li><li><p>Bachelor's degree on Data Science, Actuarial Science, Engineering, Computer Science or any related major.  </p></li><li><p>1 to 3 years of relative experience.</p></li><li><p>Requires at least three relevant roles with experience across domains, OUs, or sub-OUs. </p></li><li><p>Influences senior leaders on key organizational, business, and technology decisions.</p></li><li><p>Sets and executes IT strategy at the P&G OU, service category, major company IT platform, or infrastructure level.     </p></li><li><p>Actively participates in developing others in the function.</p></li></ul><p></p><p><b>ABOUT US</b></p><p>We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Neurobion, Sangobion, Vicks, Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.</p><p></p><p>Visit <a href=\"http://www.pg.com/\" target=\"_blank\">http://www.pg.com</a> to know more.</p><p>We are an equal opportunity employer and value diversity at our company. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.</p><p style=\"text-align:inherit\"></p><p style=\"text-align:left\"><b>Job Schedule</b></p>Full time<p style=\"text-align:inherit\"></p><p style=\"text-align:left\"><b>Job Number</b></p>R000155123<p style=\"text-align:inherit\"></p><p style=\"text-align:left\"><b>Job Segmentation</b></p>Entry Level

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>Our Company</strong>&nbsp;</p><br> <p>Teradata is&nbsp;the&nbsp;connected multi-cloud data platform for enterprise analytics&nbsp;company. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the&nbsp;future,&nbsp;today.&nbsp;</p><br> <p>The Teradata Vantage architecture is cloud native, delivered as-a-service, and built on an open ecosystem. These design features make Vantage the ideal platform to&nbsp;optimize&nbsp;price performance in a multi-cloud environment.&nbsp;&nbsp;</p><br> <p><strong>What&nbsp;You'll&nbsp;Do</strong>&nbsp;</p><br> <ul> <li><strong>What the role is about:&nbsp;</strong> As a Principal/Staff Data Scientist at Teradata, you will serve as a senior individual contributor responsible for defining analytical approaches, scoping complex data science projects, and delivering high-impact solutions across multiple industries. You will tackle&nbsp;highly complex&nbsp;and ambiguous problems,&nbsp;architect&nbsp;end-to-end data science workflows, and&nbsp;provide&nbsp;deep technical guidance to cross-functional teams-without direct people management responsibilities.&nbsp;</li> </ul> <ul> <li><strong>What&nbsp;impact&nbsp;this role has:</strong>Your&nbsp;expertise&nbsp;will shape the technical direction of data science initiatives, influence solution design across teams, and help internal and external stakeholders make well-informed decisions. By&nbsp;leveraging&nbsp;advanced modeling, statistical rigor, and deep domain insight, you will ensure that Teradata delivers scalable, high-quality analytical solutions that drive measurable business value for our clients.&nbsp;</li> </ul> <ul> <li><strong>What success might look like:&nbsp;</strong>Success in this role means independently leading the most challenging parts of data science engagements, producing reliable and scalable solutions, and serving as a trusted technical advisor to product managers, engineers, and business stakeholders. You will be recognized for your ability to translate complex business problems into well-scoped analytical strategies, and for consistently raising the technical bar across the team.&nbsp;</li> </ul> <p><strong>Who&nbsp;You'll&nbsp;Work With</strong>&nbsp;</p><br> <ul> <li><strong>An outline of the team:&nbsp;</strong> You will be part of a collaborative and dynamic data science team that works closely with data engineers, project managers, solution architects, and business stakeholders. You will contribute as a high-level technical expert, helping teams navigate complexity and ensuring that analytical solutions are sound, scalable, and aligned with business needs.&nbsp;&nbsp;</li> </ul> <ul> <li><strong>The role and the team play at Teradata:</strong> &nbsp;The data science team at Teradata plays a crucial role in transforming data into strategic assets. As a Principal/Staff Data Scientist, you will influence the technical direction of projects, contribute reusable methodologies, and help shape best practices for developing advanced analytical solutions across multiple engagements.&nbsp;</li> </ul> <ul> <li><strong>Who the position reports to:</strong> This position reports to the Data Science Team Manager.&nbsp;</li> </ul> <p><strong>What Makes You a Qualified Candidate</strong>&nbsp;</p><br> <p>Non-negotiable qualifications:&nbsp;</p><br> <ul> <li>Minimum of 8 years of experience in data science, machine learning, or applied analytics.&nbsp;</li> </ul> <ul> <li>Expertise in&nbsp;programming languages such as Python and SQL.&nbsp;</li> </ul> <ul> <li>Strong understanding of advanced statistical methods, machine learning, deep learning, and GenAI techniques.&nbsp;</li> </ul> <ul> <li>Proven ability to scope, architect, and technically lead complex data science projects without direct management responsibilities.&nbsp;</li> </ul> <ul> <li>Excellent communication and presentation skills, with the ability to engage both technical and non-technical audiences.&nbsp;&nbsp;</li> </ul> <p><strong>What&nbsp;You'll&nbsp;Bring</strong>&nbsp;</p><br> <ul> <li><strong>Advanced Data Analysis and Modeling:</strong>&nbsp;Perform&nbsp;highly complex&nbsp;data analysis and build sophisticated predictive and prescriptive models using advanced statistical, machine learning, and deep learning techniques.&nbsp;</li> </ul> <ul> <li><strong>Technical Leadership:</strong>&nbsp;Define analytical approaches, scope data science components in partnership with PMs, and lead the technical direction of projects across multiple industries.&nbsp;</li> </ul> <ul> <li><strong>Cross-Functional Collaboration:</strong>&nbsp;Work closely with data engineers, product managers, and business stakeholders to&nbsp;align on&nbsp;requirements, solution direction, and implementation plans.&nbsp;</li> </ul> <ul> <li><strong>Data Exploration:</strong>&nbsp;Explore large and diverse datasets to uncover insights, evaluate feasibility, and guide model and feature design.&nbsp;</li> </ul> <ul> <li><strong>Model Deployment:</strong>&nbsp;Collaborate with engineering teams to implement,&nbsp;optimize, and&nbsp;maintain&nbsp;machine learning models in production environments, ensuring scalability, performance, and reliability.&nbsp;</li> </ul> <ul> <li><strong>Mentorship:</strong>&nbsp;Provide informal technical mentoring, conduct deep code/model reviews, and guide other data scientists in best practices-without direct people management.&nbsp;</li> </ul> <ul> <li><strong>Communication:</strong>&nbsp;Present complex findings, trade-offs, and solution paths to technical teams, business partners, and customer stakeholders in a clear and concise manner.&nbsp;</li> </ul> <ul> <li><strong>Continuous Improvement:</strong>&nbsp;Stay current with emerging data science, machine learning, and GenAI advancements, applying new techniques to enhance solution quality and accelerate delivery.&nbsp;</li> </ul> <p><strong>Why We Think&nbsp;You'll&nbsp;Love Teradata&nbsp;</strong>&nbsp;</p><br> <p>We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster&nbsp;an equitable&nbsp;environment that celebrates&nbsp;people&nbsp;for all of who they are.&nbsp;</p><br> <p><span><span><span><span>#LI-AB1 </span></span></span>&nbsp;</span></p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Envision Employment Solutions is currently looking for a Senior Data Scientist - AI &amp; ML Engineer for one of our partners, a global leader in consulting, digital transformation, technology and engineering services!<br> About: The Senior Data Scientist - AI &amp; ML Engineer will be responsible for delivering end-to-end machine learning solutions, designing scalable AI architectures, and developing Agentic AI applications that drive intelligent automation and business value.<br> Responsibilities: AI &amp; Machine Learning Development Design, develop, and deploy AI and machine learning solutions that address business needs.<br> Build and implement Agentic AI applications using modern AI frameworks.<br> Lead the full machine learning lifecycle, including data preparation, feature engineering, model development, evaluation, deployment, and monitoring.<br> Optimize models to improve accuracy, scalability, and performance in production environments.<br> Implement model monitoring, drift detection, and retraining strategies.<br> Data Engineering &amp; MLOps Design scalable data pipelines to support machine learning workloads.<br> Collaborate with data engineers to ensure reliable data ingestion, transformation, and storage.<br> Develop and maintain ML-focused CI/CD pipelines.<br> Implement model versioning, automated testing, and deployment best practices.<br> Support containerized and cloud-native ML deployments.<br> Cloud &amp; Solution Architecture Design AI and ML solutions using cloud platforms such as Azure, AWS, or GCP.<br> Architect scalable infrastructure to support enterprise AI applications.<br> Recommend technology solutions aligned with business and technical requirements.<br> Ensure AI solutions meet security, reliability, and performance standards.<br> Collaboration &amp; Leadership Partner with business stakeholders to understand objectives and translate them into technical solutions.<br> Collaborate with cross-functional teams throughout the solution lifecycle.<br> Mentor junior data scientists and ML engineers.<br> Promote best practices in machine learning, software engineering, and MLOps.<br> Stay informed about emerging AI technologies and industry trends.<br> 6-10 years of experience working with complex datasets and solving real-world business problems using AI Proven track record of deploying and maintaining ML models in production environments and delivering AI solution architecture.<br> Strong proficiency in Python, data science and machine learning libraries (e.<br>g., scikit-learn, TensorFlow, PyTorch) and agentic application development libraries (e.<br>g. LangChain, LangGraph).<br> Strong command of SQL and experience with large-scale data processing tools (e.<br>g., Spark, Pandas).<br> Deep understanding of cloud platforms (Azure, AWS, GCP) and their ML services.<br> Skilled in MLOps practices including CI/CD, containerization (e.<br>g. Docker), and orchestration (Kubernetes).<br> Strong command of Git and collaborative development workflows.<br> Excellent written and verbal communication skills, capable of conveying complex concepts to a variety of audiences.<br> Fluent in Arabic &amp; English, both spoken and written (German is a plus!<br>) Able to listen to and understand customer needs and articulate them as technical requirements to the team.<br> Strong problem-solving abilities and attention to detail.<br> Strategic thinking with the ability to align data science initiatives with business objectives.<br> Strong leadership and team management skills with the ability to inspire and motivate.<br> Ability to work collaboratively in a team environment.<br> Self-motivated with a strong growth mindset.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system. In this role, as an AI Pilot that s how we refer to this role at Mindrift you ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches. Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements. Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior. Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required). Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus. Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential. Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required)</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system. In this role, as an AI Pilot that s how we refer to this role at Mindrift you ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p><p>What We Do</p><p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. This is a freelance role for a Tendem project.</p><p>As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p><p>Key Responsibilities:</p><ul><li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li><li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li><li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li><li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li><li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li></ul><p>Project time expectations</p><p>For this project, tasks are estimated to require around 10 20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p><p>Compensation</p><p>On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Requirements:</p><ul><li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li><li>Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</li><li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.</li><li>We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.</li><li>A methodical, detail-oriented approach and the ability to work independently are essential.</li><li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</li><li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</li><li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</li><li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale</li><li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows</li><li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks</li><li>Strong attention to detail and commitment to data accuracy</li><li>Self-directed work ethic with ability to troubleshoot independently</li><li>A link to GitHub is a plus</li><li>English proficiency: Upper-intermediate (B2) or above (required)</li></ul><p></p></section>