Senior Data Science Manager
If the following job requirements and experience match your skills, please ensure you apply promptly.
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.