Senior Product Data Scientist (Contract)
Contract: 6-month initial contract (extension likely)
Location: Hybrid – London
Rate: Excellent contract rates
IR35 Status: Inside IR35
Overview
We're supporting a FTSE 100, enterprise‑scale organisation undergoing a long‑term transformation across data, analytics, and decision intelligence. As part of this programme, we're looking for a Principal/Senior Data Scientist to lead high‑impact data science products that directly influence operational performance and strategic decision‑making.
This is a senior, hands‑on role focused on real‑world outcomes, not proof‑of‑concept work. You'll operate at the intersection of data science, engineering, and the business, shaping how advanced analytics is embedded across a complex organisation.
What You'll Be Doing
- Leading the end‑to‑end delivery of data science and machine learning products, from problem framing through to production and optimisation
- Tackling ambiguous, high‑value business problems, translating them into structured analytical solutions
- Providing technical leadership across predictive modelling, optimisation, and decision‑support use cases
- Ensuring data science solutions are production‑ready, scalable, and embedded into operational processes
- Working closely with senior stakeholders to translate analytical outputs into clear, actionable decisions
- Driving best practice across model governance, ethics, engineering standards, and Agile delivery
- Influencing roadmaps and priorities, balancing pace with long‑term value
What We're Looking For
- Proven experience at Principal or Lead Data Scientist level
- Strong grounding in data science, machine learning, and applied analytics in production environments
- Ability to structure complex, ill‑defined problems and drive them to delivery
- Confidence communicating with and influencing senior, non‑technical stakeholders
- Experience delivering industrialised data or ML products
- A pragmatic, outcome‑focused mindset with a strong sense of ownership
- Coming from a consulting background (BCG, McKinsey, ect)
- Experience in complex operational or asset‑heavy environments (e.g. transport, logistics, infrastructure) is beneficial but not essential.
Senior Product Data Scientist (Contract)
Contract: 6-month initial contract (extension likely)
Location: Hybrid – London
Rate: Excellent contract rates
IR35 Status: Inside IR35
Overview
We’re supporting a FTSE 100, enterprise‑scale organisation undergoing a long‑term transformation across data, analytics, and decision intelligence. As part of this programme, we’re looking for a Principal/Senior Data Scientist to lead high‑impact data science products that directly influence operational performance and strategic decision‑making.
This is a senior, hands‑on role focused on real‑world outcomes, not proof‑of‑concept work. You’ll operate at the intersection of data science, engineering, and the business, shaping how advanced analytics is embedded across a complex organisation.
What You’ll Be Doing
- Leading the end‑to‑end delivery of data science and machine learning products, from problem framing through to production and optimisation
- Tackling ambiguous, high‑value business problems, translating them into structured analytical solutions
- Providing technical leadership across predictive modelling, optimisation, and decision‑support use cases
- Ensuring data science solutions are production‑ready, scalable, and embedded into operational processes
- Working closely with senior stakeholders to translate analytical outputs into clear, actionable decisions
- Driving best practice across model governance, ethics, engineering standards, and Agile delivery
- Influencing roadmaps and priorities, balancing pace with long‑term value
What We’re Looking For
- Proven experience at Principal or Lead Data Scientist level
- Strong grounding in data science, machine learning, and applied analytics in production environments
- Ability to structure complex, ill‑defined problems and drive them to delivery
- Confidence communicating with and influencing senior, non‑technical stakeholders
- Experience delivering industrialised data or ML products
- A pragmatic, outcome‑focused mindset with a strong sense of ownership
- Coming from a consulting background (BCG, McKinsey, ect)
- Experience in complex operational or asset‑heavy environments (e.g. transport, logistics, infrastructure) is beneficial but not essential.
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