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Chief Data Scientist

JR United Kingdom

Bath

On-site

GBP 90,000 - 150,000

Full time

2 days ago
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Job summary

A cutting-edge UK data science firm is seeking a Chief Data Scientist to lead their data strategy. This role involves developing AI solutions and driving data-driven transformation while working with high-level datasets. The successful candidate will influence C-suite executives and build a high-performing data team, ensuring data science outcomes align with business growth.

Qualifications

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

Responsibilities

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

Skills

AI
Machine Learning
Cloud Data Architecture
Data Governance
Commercial Acumen

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.
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