Data Scientist

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 Data Scientist to design and develop analytical models and insight packs that transform complex, high‑volume data into actionable intelligence. Based in Pune, this role supports local markets, partner markets, and corporate accounts by applying descriptive and predictive analytics across diverse data environments. The role combines strong technical capability with close collaboration with commercial stakeholders to influence data‑driven decision‑making.

What you will do

• Design, build, test, and deliver analytical models using new and existing datasets to support defined business use cases.
• Perform data preparation, cleansing, and optimisation across SQL and No‑SQL data stores.
• Develop descriptive, predictive, and other analytical models for specific segments such as markets, products, or services.
• Contribute effectively to business decision‑making by translating analytical outcomes into clear, actionable recommendations.
• Work closely with commercial and business teams to present insights and recommended actions derived from models.
• Support product management by identifying and defining customer‑facing analytics use cases for the product roadmap.
• Contribute to defining and improving analytics lifecycle processes to enable fast and cost‑effective development.
• Participate in business analysis activities and document specifications for business information requests.

Who you are

• Experienced in advanced analytics techniques, including descriptive and predictive modelling.
• Comfortable working with complex, high‑volume, high‑dimensional datasets, preferably using Hadoop or Spark.
• Proficient in SQL and experienced with databases such as Teradata, Oracle, or MySQL.
• Strong knowledge of machine learning techniques and their application in real‑world scenarios.
• Hands‑on experience with statistical and analytical tools such as Python, R, SAS, MATLAB, or SPSS.
• Educated to degree level in Data Science, Applied Mathematics, Statistics, Computer Science, Engineering, or a related field, with 3–5+ years of relevant experience.
• Experienced in working within international and distributed teams.
• Demonstrates strong analytical, troubleshooting, and system analysis skills.
• Communicates complex ideas clearly in plain language, both verbally and in writing, with full professional fluency in English.
• Brings a flexible, proactive, and improvement‑focused mindset, with the ability to innovate and work within agile development environments.
• Comfortable facilitating validation sessions or workshops with stakeholders and coordinating across departments.
• Demonstrates high attention to detail, accuracy, and a strong understanding of business requirements.
• Familiar with cognitive technologies and has awareness of ITIL practices.

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

• Exposure to complex, real‑world analytics challenges across multiple international markets.
• Opportunities to influence business decisions through data‑driven insights.
• Collaboration with diverse, cross‑functional, and global teams.
• A role that supports continuous learning, innovation, and process improvement within analytics and data science.

What skills you will learn

• Advanced application of predictive and descriptive analytics in a large‑scale enterprise environment.
• Translating analytical outputs into commercially relevant recommendations.
• Working with large, distributed data platforms and modern analytics architectures.
• Stakeholder engagement and facilitation skills within data‑driven programmes.

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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