

Xpertise Recruitment
Data Scientist X5
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Product Data Scientist on a 6-month contract, hybrid in London, offering excellent rates. Key skills include data science, machine learning, and consulting experience. Strong communication with senior stakeholders is essential; experience in operational environments is beneficial.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
850
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🗓️ - Date
April 30, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#Consulting #Data Science #"ETL (Extract #Transform #Load)" #Leadership #Agile #ML (Machine Learning) #Scala
Role description
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.






