Data Scientist

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 support local markets, partner markets, and corporate accounts. The role focuses on transforming raw data into actionable intelligence through predictive and descriptive statistical techniques across diverse data environments. Based in Pune, the individual will work collaboratively with business and commercial teams to drive informed decision-making and innovation.

What You’ll Do

• Build, test, and deliver analytical models leveraging new and existing datasets to support defined use cases
• Perform data preparation, cleansing, and optimisation using SQL and NoSQL technologies
• Develop descriptive and predictive models tailored to specific customer segments, products, and services
• Support business stakeholders by contributing to decision-making processes through data-driven insights
• Collaborate with commercial teams to present recommendations based on analytical outcomes
• Contribute to product management activities by identifying and defining customer-facing analytics use cases
• Support the definition and improvement of analytics lifecycle processes for efficient and cost-effective delivery
• Participate in business analysis activities and document specifications for information requests

Who You Are

• Experienced in advanced analytics techniques such as descriptive, predictive, and optimisation modelling
• Comfortable working with complex, high-volume, and high-dimensional datasets (preferably using Hadoop or Spark)
• Proficient in SQL and database technologies such as Teradata, Oracle, or MySQL
• Skilled in applying machine learning techniques to practical business problems
• Experienced in statistical tools such as Python, R, SAS, MATLAB, or SPSS
• Educated in Data Science, Applied Mathematics, Statistics, Computer Science, Engineering, or an equivalent field, with relevant experience
• Confident working in international, distributed, and agile team environments
• Strong analytical, troubleshooting, and system analysis capabilities
• Effective communicator, able to translate complex findings into clear and simple language
• Collaborative, adaptable, and proactive with a focus on continuous improvement and innovation

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

• Opportunity to work on diverse analytics use cases across global markets
• Exposure to large-scale data platforms and advanced analytics technologies
• Collaborative engagement with cross-functional and international teams
• Opportunities to contribute to impactful, business-critical decisions
• A supportive environment that encourages innovation and continuous learning

What Skills You Will Learn

• End-to-end analytics lifecycle management and agile delivery practices
• Stakeholder management and effective communication of data insights
• Big data technologies including Hadoop and Spark ecosystems
• Product-oriented thinking in analytics solution development

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 truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.

Alert Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud. #JDEnhancedByTARA

Follow us on social media LinkedIn: https://www.linkedin.com/company/vois/ Facebook: https://www.facebook.com/voisglobal Instagram: https://www.instagram.com/voisglobal/ You can also chat with our employees to learn more about our projects: https://lnkd.in/dpkrcvR2