AVP-Data Scientist Business Solution

This position is responsible to transform our vast telecommunications datasets into high-value commercialassets. 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

• 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

• 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.

• Team Building:
  Recruit and mentor a team of data scientists

• 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.

• Proven track record in telecommunications or data monetization
• Prior experience in a client-facing consulting role.

• 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.