Job Description

Roles & Responsibilities

As part of AI Academy, you will work alongside data scientists, big data engineers, and business stakeholders. You will be responsible for implementing and maintaining use case pipelines and communicating results to scientists, product managers, and customers.

Your work will directly impact millions of our customers in the form of products, services and offers. You will gain hands-on experience with Vodafone s huge volume of data and large-scale computing resources.

Competencies

• Competent in machine learning principles,mathematics, statistics, deep learning and generative AI techniques
• Experience in Big Data analytics & deployment of models and algorithms from large volumes of structured and/or unstructured data in a commercial /consumer environment
• Ability to test hypotheses from raw data sets, draw meaningful conclusions, and effectively communicate results verbally, in writing, and through effective visualization
• knowledge of Big Data technology (e.g. Hadoop, interactive SQL on Hadoop, Spark, etc)
• Statistical modelling expertise in various domains
• Ability to work cross functional teams to translate business issues into potential analytics solutions

Who we are

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.

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.

Together we can.

Desired Candidate Profile

Qualifications

• Bachelor s (or equivalent) in quantitative fields like Computer Science or Engineering
• Required Experience: Fresh grad up to 2 years of Experience
• Proficient in statistical packages and ML libraries (e.g. Python, Sklearn, Pytorch,Keras, SciPy and NLTK, Spark MLlib, etc)
• Familiar with leading visualization tools (e.g. Tableau, PowerBI)
• Familiar with implementing data transformations and algorithms in common programming languages
• Strong communication skills with prior experience communicating analytics results to senior management