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.
