Chief Data Scientist

JR United Kingdom; High Wycombe; On-site; GBP 80,000 - 120,000; Full time

Job summary

A cutting-edge data science firm in the UK is seeking a Chief Data Scientist to drive data strategy. This role involves leading a multidisciplinary team, fostering a data-first culture, and collaborating with senior executives to deliver impactful AI solutions. The Chief Data Scientist will advocate for ethical AI and ensure that data science initiatives align with business growth.

Qualifications

• Proven success in senior data leadership roles.
• Hands-on knowledge of AI, ML, and cloud data architecture.
• Strong skills in influencing board-level stakeholders.

Responsibilities

• Own and evolve data science vision and innovation roadmap.
• Build and lead a team of data scientists and engineers.
• Shape business-wide priorities in collaboration with C-suite.

Skills

Leadership

AI

Machine Learning

Cloud Data Architecture

Commercial Acumen

Data Governance

Job description

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My client, a cutting-edge UK data science firm, is on the hunt for a visionary Chief Data Scientist to take the reins of their data strategy. Working with one of the richest household-level datasets in the UK, this is a rare opportunity to architect enterprise AI solutions, influence C-level strategy, and leave a legacy of data-driven transformation.

Responsibilities:

• Own and evolve the end-to-end data science vision and innovation roadmap.
• Build and lead a multidisciplinary team of world-class data scientists and engineers.
• Spearhead AI/ML product development that solves real-world, high-value problems.
• Act as a thought leader – evangelise data science both internally and with key clients.
• Define and embed a data-first culture across the organisation.
• Collaborate closely with C-suite executives to shape business-wide priorities.
• Ensure data science delivers commercially viable and scalable outcomes.

Key Requirements:

• Proven success in senior data leadership roles, ideally in fast-paced or high-growth environments.
• Deep hands-on knowledge of AI, ML, cloud data architecture, and production model delivery.
• Strong commercial acumen – you understand how to tie data science to business growth.
• Skilled at influencing board-level stakeholders and translating complex concepts clearly.
• Track record of building, inspiring, and retaining high-performing data teams.
• Fierce advocate for ethical AI, data governance, and responsible innovation.
• Experience working across product, engineering, and strategy functions.