Data Science - Head of Data Science

Whitbread PLC

hybridPosted Jun 18, 2026
Posting intelligenceActively listedReposted 2×, possible evergreen/ghost posting

About the role

We’re transforming how data powers decisions across Whitbread — from optimising hotel operations to shaping long term commercial strategy. As our Head of Data Science, you’ll lead the vision, strategy and delivery of advanced analytics and machine learning, ensuring our teams and leaders use data to drive meaningful, measurable impact.

Role: Head of Data Science

Contract Type: Full time, Permanent

Location: Dunstable (Hybrid, 3 days per week in office)

Why You’ll Love It Here

Family BUPA healthcare

10% matched pension

Up to 60% off Premier Inn stays & 25% off our restaurant brands

Annual bonus opportunity up to 50%

Explore all our benefits: https://www.whitbreadcareers.com/about-us/benefits/

What you’ll be doing

As our Head of Data Science, you will lead Whitbread’s applied data science strategy and identify high value opportunities across the business, act as a senior advisor to leaders, shaping decisions through insight and analytical storytelling as well as own the lifecycle of data science products — from ideation to production, optimisation and BAU

Alongside the above you will set and uphold standards for model quality, validation, monitoring and responsible AI, Build and develop a high performing data science team with strong business facing capability and partner across Technology, Product and business teams to embed analytics into core processes

What you’ll need

Deep expertise in advanced analytics, statistical modelling and machine learning

Proven experience leading data science or advanced analytics teams

Strong track record influencing senior stakeholders and shaping strategic decisions

Experience deploying and maintaining production grade data science solutions

Excellent communication skills with the ability to challenge, guide and simplify

Understanding of AI governance, risk and ethical frameworks

Experience working in matrixed environments with engineering and product teams

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