Head of Data Science – London (Hybrid, 2 to 3 days per week)
This is a high-impact leadership opportunity to shape how a major consumer business uses data to drive growth, improve decision making, and deliver measurable value. You will lead the integration of data science and analytics into a single, high-performing function while influencing senior stakeholders and setting a clear strategic direction.
The Company
They are a well-established, customer-focused organisation undergoing a significant data transformation. With strong investment and leadership support, data is central to their future strategy. The business operates in a fast-paced, commercially driven environment and places high value on innovation, experimentation, and measurable outcomes. Data maturity is still developing, creating a genuine opportunity to shape the roadmap and drive meaningful change.
The Role
You will take ownership of the data science and analytics capability, focusing on both strategy and execution.
- Defining and delivering the data science and analytics strategy aligned to wider business goals
- Driving the adoption of self-serve analytics tools and improving data accessibility across teams
- Leading the redesign and optimisation of reporting, dashboards, and insight delivery
- Overseeing development, productionisation, and deployment of data science solutions
- Embedding performance frameworks to measure value, impact, and business outcomes
- Building and scaling a high-performing, multidisciplinary team across data science and analytics
- Engaging and influencing senior stakeholders, including CIO and COO level
- Shifting perception of data science from a support function to a core value driver
Your Skills and Experience
You will bring a strong combination of technical depth, leadership capability, and commercial awareness:
- A background as a data scientist with strong attention to detail and the ability to challenge methodologies
- Deep understanding of data science techniques, principles, and underlying mathematics
- Strong experience delivering data science solutions across multiple domains in commercial settings
- Proven ability to build, develop, and lead high-performing teams
- Experience operating in environments with low or evolving data maturity
- Excellent stakeholder management skills, with the ability to translate complex concepts into clear business narratives
- Strong track record of delivering measurable business impact from data initiatives
- Comfortable working in ambiguous, fast-changing environments and driving transformation
