Head of Data Science

Skills

Job Specifications

Head of Data Science

Salary: £140K-£160K

Location: London (Hybrid)

Data Idols are partnered with a digitally-led organisation that is investing heavily in data and machine learning as a core driver of commercial performance and competitive advantage.

They are now seeking a Head of Data Science to define and lead the next phase of their ML capability. This is a strategic leadership role focused on building a scalable, high-impact data science function that consistently delivers measurable business outcomes.

This is not a hands-on individual contributor role. It is a mandate to shape strategy, build capability, and ensure machine learning directly influences revenue, margin, customer experience, and operational performance.

The Opportunity

You will define and execute a company-wide data science and machine learning strategy, ensuring investment is tightly aligned to commercial priorities and measurable business outcomes. You will build and lead a high-performing data science function, establishing clear standards, prioritisation frameworks and performance metrics, and positioning machine learning as a long-term strategic differentiator for the organisation.

Skills & Experience

Experience operating at scale where ML directly influences commercial performance
A track record of building and leading high-performing data science teams
Strong stakeholder management skills, with the ability to influence at a senior level
A solid technical foundation as a former hands-on data scientist

This is an opportunity to shape machine learning as a strategic lever within a scaling, commercially sophisticated organisation. Please submit your CV for consideration.

Head of Data Science

About the Company

Data Idols work with the UK's leading data focused tech companies, we help organisations apply Data Engineering and Data Science techniques to improve the delivery of data projects, through consulting, recruitment, training and events. We believe strongly that the data world is changed, you now need to have an awareness of multiple different technologies and platforms. One platform doesn't fit all and increasingly companies we work with are implementing different technologies dependent on very specific project requirements. Know more

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