Sr. Data Scientist (VOIS)
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.
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About this Role
What you’ll do
- Build, test, and deliver new analytics models using diverse datasets to support business use cases.
- Prepare and cleanse data, optimise SQL and NoSQL queries, and implement statistical models.
- Develop descriptive and predictive models for specific market segments, products, and services.
- Collaborate with commercial teams to present actionable insights derived from analytical results.
- Support product management in identifying customer-facing analytics use cases for roadmap planning.
- Contribute to defining lifecycle processes for analytics to enable fast and cost-effective development.
- Participate in business analysis and document specifications for information requests.
Who you are
- Experienced in advanced analytics techniques including descriptive, predictive, and optimisation models.
- Skilled in handling complex, high-volume data, preferably within Hadoop/Spark environments.
- Proficient in SQL and databases such as Teradata, Oracle, and MySQL.
- Strong knowledge of machine learning techniques and their real-world applications.
- Hands-on experience with statistical tools like Python, R, SAS EM, MATLAB, SPSS, and Teradata Warehouse Miner.
- Holds a degree in Computer Science, Engineering, Applied Mathematics, or Statistics (MS/Ph.D. preferred).
- Comfortable working in international, distributed teams with agile methodologies.
- Excellent communication, analytical, and troubleshooting skills.
- Innovative thinker with a flexible, proactive attitude and strong coordination capabilities.
- Fluent in English, both written and spoken.
Not a Perfect Fit?
What’s in it for you
What skills you will learn
VOIS Equal Opportunity Employer Commitment
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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