Chief Data Scientist

JR United Kingdom; City of Edinburgh; On-site; GBP 90,000 - 150,000; Full time

Job summary

A leading UK data science firm seeks a visionary Chief Data Scientist to shape their data strategy. This role involves architecting enterprise AI solutions, influencing C-suite strategy, and building a world-class team to drive innovation and deliver data-driven outcomes.

Qualifications

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

Responsibilities

• Own and evolve the end-to-end data science vision.
• Build and lead a multidisciplinary data team.
• Spearhead AI/ML product development.

Skills

AI

ML

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.