Lead Data Scientist

Job Description

\n Responsibilities\n

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• Explore & mobilise new data science applications for pricing, including but not limited to delivery of pricing models that harness predictive capabilities to advise pricing strategy decisions.
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• Deploy sophisticated statistical analysis and data manipulation techniques to analyse experimental data, identify trends and derive relevant conclusions.
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• Coordinate set up and definition of experiments, deploying statistical techniques and processes, ensuring robust trial outputs that yield actionable insights.
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• Build autonomous systems to monitor high volumes of price experiments & strategies, tracking critical metrics vs expectations and surfacing to the wider pricing team.
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• Maintain comprehensive documentation of experimental builds, methodologies, and results to ensure transparency and reproducibility.
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• Lead preparation and present findings to interested parties, clearly communicating the implications of pricing experiments on business strategies.
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• Work proactively with cross‑functional teams, including commercial, finance and product development, to align data insights with business objectives.
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• Lead senior data scientists, coordinating their respective focus areas and workloads as well as developing them personally to grow their careers.
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Requirements\n

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• Experienced leader in data science with track record leading a data science function, ideally within a customer‑focussed or commercial domain.
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• Proficiency in multiple advanced analytics and data manipulation tools (e.g., Python, SQL, Excel, Tableau)
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• Strong analytical and quantitative skills, with a proven track record to interpret complex data sets
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• Experience with experiment design and parameter definition (sampling, control vs. test groups, front‑end product changes)
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• Experience in sophisticated statistical modelling techniques (e.g. regression, significance testing, clustering, A/B testing, time series analysis)
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• Excellent documentation skills, with attention to detail and the ability to build clear and concise reports.
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• Excellent verbal and written communication skills, with the ability to present complex information clearly to diverse audiences
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• Strong problem‑solving abilities and a proactive approach to finding opportunities for improvement
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• Ability to manage and own multiple data and analytics assets simultaneously and to meet deadlines in a fast‑paced environment
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• Collaborative outlook, able to build strong and effective relationships both within the Pricing team and across the business at all levels
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• Ideally, experience working on pricing and/or pricing strategy projects in a large business setting.
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