OverviewHead of Data Science 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).
Job DescriptionData 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 both internal and externa projects.Requirements•8+ years of experience in data science with 2+ years of experience in managing a team.
•Deep knowledge of Python, GCP, end-to-end machine learning frameworks including MLOps.
•Proven track record in telecommunications or data monetization.
•Prior experience in a client-facing consulting role.
•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.
•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.
