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Data Science Manager

Harnham
Brighton
5 days ago
Applications closed

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Data Science Manager

Data Science Manager London, England, United Kingdom

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

Senior Data Science Manager

Brighton - 1 day a week

Up to £100,000


About the Role

We are working with an innovative organisation that has developed a next-generation GenAI product, with thousands of users engaging in rich conversations daily. This is a unique opportunity to shape and lead the Data Science function at the heart of a high-growth, AI-driven product.


As Senior Data Science Manager, you will be responsible for leading a talented team of Data Scientists while still contributing individually to the design and development of cutting-edge AI and ML infrastructure. This role blends leadership, strategy, and hands-on technical delivery.


This is an exciting chance to lead the data science efforts behind a cutting-edge AI product, while continuing to be hands-on with the technical challenges that come with scaling AI at speed.


Key Responsibilities

  • Leading, mentoring, and growing a team of Data Scientists, fostering a high-performance and collaborative culture.
  • Guiding strategic decision-making on technology and architecture to ensure scalable and cost-effective solutions.
  • Driving the development of machine learning models, pipelines, and tooling, with a strong emphasis on MLOps best practices.
  • Acting as a subject matter expert internally and externally, including with key customer stakeholders.
  • Translating business requirements into robust technical solutions, ensuring alignment across teams.
  • Promoting strong data governance, documentation, and observability across systems.
  • Staying ahead of industry trends and introducing new technologies and methods into the team.


What We’re Looking For

  • Proven experience managing and mentoring data science teams.
  • Strong track record delivering impact in a senior data science role.
  • Deep understanding of machine learning model lifecycles and optimisation.
  • Skilled in building, training, and deploying models on large datasets.
  • Proficiency in Python, PyTorch, Scikit-learn, and similar ML frameworks.
  • Experience with cloud environments (AWS preferred), containerisation, and modern data infrastructure.
  • Excellent communication skills, with the ability to work effectively across technical and non-technical stakeholders.
  • A collaborative, curious, and pragmatic mindset, with a passion for solving complex problems.

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