Principal Product Data Scientist

Lorien
Slough, UK
17 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

A/B Testing Big Data IBM ILOG CPLEX Optimization Studio (CPLEX) Decision Support Systems Python (Programming Language) Machine Learning Mathematical Programming Routing Recommender Systems Usage Analysis Information Technology Marketplace
+1 more
Network Optimization

Job description

About the RoleWe are looking for a Principal Product Data Scientist to drive the next generation of data-driven decision making across our products, platforms and customer experiences. This role combines advanced analytics, experimentation, machine learning, optimisation, and strategic leadership to solve complex business problems at scale. As a Principal Data Scientist, you will shape product strategy, influence executive decision-making, and lead high-impact initiatives from ideation through deployment. You will partner closely with Product, Engineering, Design, Research and Business stakeholders to unlock customer value and improve operational outcomes.

Requirements

What You’ll DoDefine and lead the long-term data science strategy for critical product areas.Partner with Product leaders to influence roadmap prioritisation through data and experimentation.Design and execute advanced analytical frameworks to measure customer behaviour, product performance and business impact.Lead complex experimentation programs, including A/B testing, causal inference, uplift modelling and quasi-experimental methods.Develop machine learning, optimisation and decision science solutions that improve customer experience and operational efficiency.Translate ambiguous business challenges into structured analytical problems and actionable recommendations.Communicate insights and recommendations to senior executives and leadership teams.Establish best practices for scientific rigor, experimentation, measurement and model governance.Mentor and develop other data scientists across the organisation.Influence company-wide analytics and product science standards. Preferred Experience8+ years of experience in Data Science, Product Analytics, Decision Science, Operations Research, Applied Science or related fields.Demonstrated success influencing product strategy through data.Strong experience with experimentation, causal inference and measurement frameworks.Experience developing machine learning models in production environments.Experience with optimisation, decision science, forecasting, recommendation systems or machine learning at scale.Proven track record delivering measurable business impact.Experience leading cross-functional initiatives involving Product, Engineering and senior stakeholders.Previous experience operating at Staff, Principal or equivalent level. Technical SkillsExpert-level Python and SQLExperimentation and statistical inferenceMachine Learning and Predictive ModellingCausal InferenceOptimization / Operations Research (preferred)Large-scale data processingBI and visualization toolsCloud-based analytics environments Nice to HaveAirline, transportation, logistics, marketplace, e-commerce or technology experience.Experience with mathematical programming (Gurobi, CPLEX, OR-Tools).Experience with network optimisation, routing, scheduling, pricing or revenue management.Advanced degree (MSc or PhD) in Data Science, Statistics, Mathematics, Computer Science, Operations Research

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