AVP-Data Scientist Business Solution (ID)

Role Purpose This position is responsible to transform our vast telecommunications datasets into high-value commercial assets. This role is unique: you will lead the end-to-end development of proprietary data products (Monetization) while simultaneously building a world-class professional services arm to help external clients solve complex problems through predictive modelling (Consulting). The ideal candidate bridges the gap between deep technical AI/ML expertise and commercial strategy, turning "big data" into "big revenue" Area of Responsibilities Data Monetization & Product Strategy • Productize Telco Data: Identify, design, and launch data products (e.g., mobility insights, churn prediction, foot-traffic analytics) using anonymized subscriber data Privacy-First Innovation: Ensure all products adhere to strict data privacy regulations through robust anonymization and differential privacy techniques Tech Stack Ownership: Oversee the architecture for high-scale data processing and model deployment Consulting & Client Services External Advisory: Act as a lead consultant for external B2B clients, helping them identify high-impact AI use cases and roadmap their data journeys Custom Model Development: Lead a team to build, validate, and deploy bespoke predictive models for external partners across various industries Pre-sales Support: Partner with the sales team to provide technical validation during the pitching process for consulting engagements. Leadership & Talent Growth Team Building: Recruit and mentor a team of data scientists Standardization: Establish Gold Standards for code quality, model reproducibility, and documentation across Requirements 8+ years of experience in data science with 2+ years of experience in managing a team Ownership mindset; customer insights are the foundation of the squad Data-driven; pushes others to maintain an impact lens Effective collaboration to drive further analysis and insights. Related Experience: Proven track record in telecommunications or data monetization Prior experience in a client-facing consulting role. Skills: Deep knowledge of Python, GCP, end-to-end machine learning frameworks including MLOps. Able to communicate technical results and insights to non-technical stakeholders clearly and concisely. Excellent problem-solving skills and ability to work independently and as part of a cross-functional team.