Principal Product Data Scientist
Job Description
Principal Product Data Scientist
\nContract Length: 12 Months
\nLocation: Hybrid - 3 days a week at Heathrow Airport
\nIR35 Status: Insid3
\nAbout the Role
\nWe 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.
\nWhat You'll Do
\n- \n
- Define and lead the long-term data science strategy for critical product areas. \n
- Partner with Product leaders to influence roadmap prioritisation through data and experimentation. \n
- Design and execute advanced analytical frameworks to measure customer behaviour, product performance and business impact. \n
- Lead complex experimentation programs, including A/B testing, causal inference, uplift modelling and quasi-experimental methods. \n
- Develop machine learning, optimisation and decision science solutions that improve customer experience and operational efficiency. \n
- Translate ambiguous business challenges into structured analytical problems and actionable recommendations. \n
- Communicate insights and recommendations to senior executives and leadership teams. \n
- Establish best practices for scientific rigor, experimentation, measurement and model governance. \n
- Mentor and develop other data scientists across the organisation. \n
- Influence company-wide analytics and product science standards. \n
Preferred Experience
\n- \n
- 8+ years of experience in Data Science, Product Analytics, Decision Science, Operations Research, Applied Science or related fields. \n
- Demonstrated success influencing product strategy through data. \n
- Strong experience with experimentation, causal inference and measurement frameworks. \n
- Experience developing machine learning models in production environments. \n
- Experience with optimisation, decision science, forecasting, recommendation systems or machine learning at scale. \n
- Proven track record delivering measurable business impact. \n
- Experience leading cross-functional initiatives involving Product, Engineering and senior stakeholders. \n
- Previous experience operating at Staff, Principal or equivalent level. \n
Technical Skills
\n- \n
- Expert-level Python and SQL \n
- Experimentation and statistical inference \n
- Machine Learning and Predictive Modelling \n
- Causal Inference \n
- Optimization / Operations Research (preferred) \n
- Large-scale data processing \n
- BI and visualization tools \n
- Cloud-based analytics environments \n
Nice to Have
\n- \n
- Airline, transportation, logistics, marketplace, e-commerce or technology experience. \n
- Experience with mathematical programming (Gurobi, CPLEX, OR-Tools). \n
- Experience with network optimisation, routing, scheduling, pricing or revenue management. \n
- Advanced degree (MSc or PhD) in Data Science, Statistics, Mathematics, Computer Science, Operations Research, \n
