Principal Product Data Scientist

Principal Product Data Scientist

Contract Length: 12 Months

Location: Hybrid - 3 days a week at Heathrow Airport

IR35 Status: Inside About the Role

We 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. What You’ll Do

• Define 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 Experience

• 8+ 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 Skills

• Expert-level Python and SQL
• Experimentation and statistical inference
• Machine Learning and Predictive Modelling
• Causal Inference
• Optimization/Operations Research (preferred)
• Large-scale data processing
• BI and visualization tools
• Cloud-based analytics environments

Nice to Have

• Airline, 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, Economics or related discipline.

Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

• 8+ 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 Skills

• Expert-level Python and SQL
• Experimentation and statistical inference
• Machine Learning and Predictive Modelling
• Causal Inference
• Optimization/Operations Research (preferred)
• Large-scale data processing
• BI and visualization tools
• Cloud-based analytics environments

Nice to Have

• Airline, 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, Economics or related discipline.