Job Description Lead development of AI/ML models for predictive analytics, forecasting, and contextual marketing across business units. Supervise end-to-end data science lifecycle from problem formulation to actionable storytelling for decision-making. Guide model development to enable early risk detection, opportunity identification, and business performance monitoring. Innovate with machine learning and NLP models to analyze customer digital footprints and behavior patterns. Provide advanced analytics and insights for customer retention, ARPU growth, and digital engagement improvement. Enable digital product strategy by mapping customer digital DNA and predicting churn, affinity, and elasticity.
Translate complex analytics into clear, actionable outcomes for commercial, marketing, and S&D teams. Manage dashboards and self-service BI tools to empower teams with near real-time data for strategic decisions. Build strong relationships with internal teams and digital/OTT partners to align data-driven strategies. Lead and develop a high-performing data science team through coaching, performance management, and capability building.
Academic Qualification- Bachelors or Masters degree in Computer Science, Statistics, Mathematics, Engineering or related fieldJob Experience Required- 10 -12 years of experience in a relevant Data Science and Machine Learning fieldsRequired Capabilities- Thorough knowledge and Insight into the Telecom industry, Competition behavior and understanding of commercial aspects Through knowledge and expertise in business analytics and predictive modeling Strong knowledge on scripting and programming skills in SQL and Python/R Advance knowledge on accessing data in traditional data warehouses as well as big data tools Thorough knowledge with data visualization tools such as Microstrategy, Tableau Advance knowledge in applied machine learning using ML frameworks such as scikit-learn, Spark ML Advance knowledge in the application of data science use cases - segmentation, behaviour modeling, lifetime value and personalized recommendations is strongly preferred Strong project planning and management skills Strong knowledge on agile development methodology is preferred
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