Specialist: Big Data and AI Project at Vodacom

Posted in Jobs in TanzaniaSpecialist: Big Data and AI Project at Vodacomby admin•September 11, 2026•0 Job Description Specialist: Big Data and AI Project Aggregate function: Consumer Business Area: Local Consumer Business Unit Posting Country: Tanzania, United Republic of Date Posted: 10 Sept 2026 Full Time / Part Time: Full Time Contract Type: Permanent 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. 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. With us, you can be truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference. Role Purpose & Key Responsibilities Role purpose: Creating AI systems for product monetization, productivity and customer service excellence. Implementing big data projects and data science initiatives. Delivering actionable insights to support and contribute toward the delivery of business objectives and targets. Contributing to the wider AI community to support and advance Machine Learning capability across Vodafone globally Key accountabilities and decision ownership Identify, analyse and interpret trends and patterns in complex data sets. Support the extraction of data (ETL) from multiple sources to build domain-oriented lakehouses. Manage E2E go to market execution of big data, AI and special projects initiatives. Implement machine learning models for various areas of the business on MLOPs. Communicate analytics and ML model use cases and results to business users Qualifications, Competencies, Knowledge and Experience 2+ years of experience in similar big data and data science role. Degree in quantitative fields like Mathematics, Statistics, Economics, Actuarial science, Computer Science or Engineering, Artificial Intelligence or related fields. Knowledge of customer driven marketing techniques and processes Proficiency in Python and associated data Science ecosystem, Machine Learning and Experiments Design. Expertise in data manipulation: use of structured data tools (e.g., SQL) and unstructured data tools and platforms (e.g., Hadoop, Spark) Project knowledge and experience would be advantageous. Excellent analytical and causal reasoning skills. Excellent communication and presentation skills Strong data management skills Ability to anticipate customer, competitor and market dynamics and propose commercial actions proactively. Vodafone is committed to attracting, developing and retaining the very best people by offering a motivating and inclusive workplace in which talent is truly recognised and rewarded. We are committed to promoting Inclusion for All with the belief that diversity plays an important role in the success of our business. We actively encourage everyone to consider becoming a part of our journey. How to Apply: Job type Full-time Job, To submit your application, please follow the link provided below. CLICK HERE TO APPLY JOIN US TODAY WHATSAPP GROUP 1 WHATSAPP GROUP 2 WHATSAPP GROUP 3 LINKEDIN FACEBOOK TELEGRAM Share this: Share on WhatsApp (Opens in new window) WhatsApp Post Email a link to a friend (Opens in new window) Email Share on Telegram (Opens in new window) Telegram Share on Threads (Opens in new window) Threads Like this:Like Loading… TaggedAI ProjectBig DataVodacom admin More by admin

• Creating AI systems for product monetization, productivity and customer service excellence. • Implementing big data projects and data science initiatives. • Delivering actionable insights to support and contribute toward the delivery of business objectives and targets. • Contributing to the wider AI community to support and advance Machine Learning capability across Vodafone globally • Identify, analyse and interpret trends and patterns in complex data sets. • Support the extraction of data (ETL) from multiple sources to build domain-oriented lakehouses. • Manage E2E go to market execution of big data, AI and special projects initiatives. • Implement machine learning models for various areas of the business on MLOPs.