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

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Productize Telco Data

: Identify, design, and launch data products (e.g., mobility insights, churn prediction, foot-traffic analytics) using anonymized subscriber data.

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Privacy-First Innovation

: Ensure all products adhere to strict data privacy regulations through robust anonymization and differential privacy techniques.

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Tech Stack Ownership

: Oversee the architecture for high-scale data processing and model deployment.

Consulting \& Client Services

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External Advisory

: Act as a lead consultant for external B2B clients, helping them identify high-impact AI use cases and roadmap their data journeys.

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Custom Model Development

: Lead a team to build, validate, and deploy bespoke predictive models for external partners across various industries.

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Pre-sales Support

: Partner with the sales team to provide technical validation during the pitching process for consulting engagements.

Leadership \& Talent Growth

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Team Building

: Recruit and mentor a team of data scientists.

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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.