Data Science and Insight Lead

Overview

As Data Science and Insight Lead in the Customer team, you will turn customer data into actionable insight to drive loyalty, visit frequency and business performance. You’ll partner with stakeholders to shape customer strategy and marketing decisions through advanced analytics, predictive modelling and experimentation. The role offers the opportunity to lead a high-performing analytics team and champion a customer-led approach across Greggs. You will shape data-driven decisions that enhance engagement and sustainable growth.

Pay / Benefits

• Management Bonus Scheme up to 17.5%
• Pension scheme with 7% employer contributions
• Private Medical Insurance
• Colleague discount up to 50%
• Profit share distribution
• 25 days annual leave (+ floating day)

Responsibilities

• Understand our customers and develop insights into behavior, loyalty, frequency and spend
• Lead development of customer insight and translate data into clear business recommendations
• Identify trends, opportunities and risks within customer data and inform strategy
• Uncover drivers of customer and business performance to enable data-led decisions
• Design and evaluate experiments to measure impact of marketing, pricing and commercial initiatives
• Use predictive modelling and advanced analytics to improve engagement, retention and performance
• Develop personalised customer experiences and communications strategies
• Influence senior stakeholders with clear, actionable recommendations
• Lead and develop a high-performing analytics or data science team and foster continuous improvement

Key requirements

• Extensive experience analysing customer, transactional and digital data to inform decisions
• Proven use of segmentation, retention analysis, CLV, churn modelling and cohort analysis with measurable impact
• Ability to translate complex data into clear recommendations for senior stakeholders
• Hands-on experience designing and evaluating experiments (A/B testing, significance, impact)
• Proficient in SQL and comfortable handling large, complex datasets
• Experience building dashboards and reporting for performance tracking
• Experience in retail/loyalty/digital customer environments
• Experience leading and developing analytics teams
• Degree or equivalent qualification in a numerate or analytical discipline

• Strong communication and influencing skills
• Curiosity and desire for continuous improvement
• Collaborative and stakeholder-facing mindset
• SQL
• Python or R
• Predictive modelling (propensity, churn, CLV, next-best-action)

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