Head Of Data Science

Head of Data Science — Salary: £110K - £120K + bonus • Location: Manchester (2-4 days a month)

We are working with a high-growth business that is scaling its data function to the next level. Data scientists have traditionally combined reporting with predictive modelling, but the business is now creating a dedicated leadership role to bring focus, structure and engineering rigour to the discipline.

As Head of Data Science, you will lead a growing team of 6+ scientists embedded across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You will drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape the data science strategy, support the career growth of talented scientists, and deliver measurable impact in areas such as search, pricing, personalisation, vouchers, marketing, operations and finance.

• Lead a growing team of 6+ data scientists embedded across product and functional teams.
• Set the technical direction and ensure alignment with company-wide OKRs.
• Drive the transition towards machine learning engineering and end-to-end model ownership from research to production.
• Shape the data science strategy and influence areas including search, pricing, personalisation, vouchers, marketing, operations and finance.
• Support career growth and mentorship for scientists, providing direction and governance.

• Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations.
• Strong background in building and deploying ML models at scale in production environments.
• Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains.
• Hands-on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery.
• Engineering mindset with experience moving teams toward machine learning engineering best practices.
• Credibility to lead long-tenured individual contributors while providing direction, mentorship and career development.

If you are looking for a new challenge, please submit your CV for initial screening and more details.