Manager- Data Scientist & Gen AI at Vodafone United States

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

14 Apr, 26

Salary

0.0

Posted On

14 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Predictive ML Modelling, Cloud Big Data Platforms, PySpark, Hive, Classification, Deep Learning, H2O Auto-ML, Feature Engineering, AWS, GCP, Git, SQL, NLP, LLM, GenAI, Python, Statistical Techniques

Industry

Telecommunications

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-driven individual to join our analytics team in Pune, supporting Vodafone’s global businesses. This role is part of the VOIS organisation and focuses on delivering structured, data-backed solutions to business challenges using advanced analytics. The individual will collaborate with stakeholders to define scope, outcomes, and processes, while leveraging existing models and driving innovation through evolving analytical techniques and technologies. What you will do Build and deploy analytical solutions across descriptive, inferential, predictive, and prescriptive analytics. Reuse and adapt existing models and insights to generate business impact. Drive efficiency through automation and standardisation of analytics delivery. Ensure stakeholder satisfaction by setting clear expectations and delivering actionable insights. Present analytical findings and model outcomes with impact assessments to business teams. Who you are A professional with 7+ years of experience in predictive ML modelling on cloud big data platforms, having delivered 10+ models. Skilled in PySpark, Hive, classification, deep learning, H2O Auto-ML, feature engineering, AWS/GCP, and Git. Advanced SQL expert with experience handling datasets exceeding 10 million rows. Strong communicator with excellent presentation, analytical, and logical reasoning skills. Exposure to NLP, LLM, and GenAI is desirable. Must have hands-on experience with Python and statistical techniques. Proven track record in predictive modelling with tangible business impact. Comfortable working with structured and unstructured data in large volumes. Experience in supervised and unsupervised ML/DL use cases including classification, forecasting, and regression. 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 impactful analytics projects with global reach. Exposure to cutting-edge technologies including cloud platforms, ML, DL, and GenAI. Collaborative work environment with clear stakeholder engagement. Chance to innovate and improve analytical delivery through automation and standardisation What skills you will learn Advanced modelling techniques across various analytics maturity levels. Cloud-based big data handling and optimisation. Stakeholder management and business impact communication. Reusability and scalability of analytical products. Visualisation and presentation of complex data insights. 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. Alert Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud. #JDEnhancedByTARA Follow us on social media and #StayConnected LinkedIn Facebook Instagram You can also chat with our employees to learn more about our projects: Click here

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Responsibilities

The role involves building and deploying analytical solutions across various analytics types and driving efficiency through automation and standardization of analytics delivery. The individual will also ensure stakeholder satisfaction by delivering actionable insights and presenting analytical findings.