Senior Data Scientist (VOIS)
Who we are
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 3rd party capability.
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.
#VOIS #BeUnrivalled #CreateTheFuture
About this Role
What you’ll do
- Build, test, and deploy analytics models using structured and unstructured data to address defined business use cases.
- Conduct data preparation, cleansing, and optimisation, including SQL and NoSQL processing, to ensure high‑quality analytical outputs.
- Apply descriptive and predictive modelling techniques to support strategic business decisions across markets and customer segments.
- Collaborate with commercial teams to present insights and actionable recommendations derived from models and analytical results.
- Contribute to defining customer‑facing analytics use cases and supporting product roadmap development.
- Support the development of efficient analytics lifecycle processes that enable fast and cost‑effective delivery.
- Participate in business requirements analysis and document specifications for information requests.
Who you are
- Experienced in advanced analytics, including descriptive, predictive, and optimisation methods.
- Comfortable working with complex, high‑volume datasets, ideally using Hadoop/Spark environments.
- Skilled in SQL and databases such as Teradata, Oracle, and MySQL.
- Knowledgeable in applying machine‑learning techniques to real‑world use cases.
- Proficient with analytical tools such as Python, R, SAS, MATLAB, SPSS, and Teradata Warehouse Miner.
- Holds a Bachelor’s, Master’s or PhD in Computer Science, Engineering, Data Science, Applied Mathematics, or Statistics, with 3–5+ years of relevant experience.
- Experienced in working within international, distributed, and agile teams.
- An excellent communicator, able to explain complex concepts in simple language.
- Comfortable coordinating across departments and running validation workshops with stakeholders.
- Adept at troubleshooting, system analysis, and embracing innovative thinking.
Not a perfect fit?
What's in it for you
- Opportunities to work with diverse datasets across multiple markets and products.
- Exposure to advanced analytics tools and technologies within a global environment.
- Close collaboration with commercial and technical teams, contributing directly to strategic business outcomes.
- Experience shaping analytics use cases that influence product direction and market initiatives.
What skills you will learn
- Advanced modelling expertise using machine learning and optimisation techniques.
- Broader exposure to big‑data technologies such as Hadoop and Spark.
- Skills in designing analytics lifecycles that improve delivery efficiency.
- Stakeholder‑facing communication and insight‑presentation abilities.
- Knowledge of cross‑market analytics challenges and global data environments.
VOIS Equal Opportunity Employer Commitment
Join Us
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.
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