Head of Data Science

Overview

Head 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 Description

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 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.