Senior Data Scientist (VOIS)

Job Description

Who we are

VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation.
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

We are seeking a skilled Senior Data Scientist to design and develop advanced analytical models that transform complex datasets into meaningful insights. This role supports local markets, partner markets, and corporate accounts by applying descriptive, predictive, and optimisation techniques to solve business challenges and inform decision‑making across various products, services, and customer segments.

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?

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

What's in it for you

While the job description did not explicitly outline benefits, a role of this nature typically provides:

• 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

Based on the responsibilities outlined, you are likely to develop or enhance:

• 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

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.

Join Us

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.

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• LinkedIn: https://www.linkedin.com/company/vois/
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