• Lead, coach and develop the Data Science team, setting clear priorities and raising technical standards.
• Own delivery of the B&Q data science roadmap, managing the backlog and prioritising work based on value, feasibility and business need.
• Lead the development of models and data science products across churn, customer value, forecasting, segmentation, propensity, recommendation, personalisation etc
• Ensure data science products are robust, explainable, documented, governed and deployed into production where they can be used by the business.
• Develop reusable customer features, segmentations and behavioural signals that support CRM, Loyalty, Retail Media, Digital and wider business teams.
• Work with stakeholders to translate business problems into practical data science solutions, challenging unclear briefs where needed.
• Partner with Product, Data, Technology and Kingfisher Group teams to ensure data science outputs are scalable, governed and aligned to wider roadmaps.
• Bring external thinking into B&Q by staying close to developments in retail, customer analytics, machine learning and AI.
• Drive measurable value for B&Q, TradePoint and our customers through better use of data science

• Proven experience leading data science delivery in a commercial environment.
• Experience managing, coaching or developing technical specialists.
• Strong technical understanding of machine learning, statistics and applied analytics.
• Strong practical knowledge of Python, with strong SQL capability.
• Experience working with customer, behavioural, transactional or commercial data.
• Experience developing models such as churn, customer lifetime value, segmentation, forecasting, propensity or recommendation models.
• Experience taking data science products from concept through to production or repeatable business use.
• Experience working with cloud-based analytical platforms such as Databricks, Snowflake, Google BigQuery or similar.
• Experienced in modern, agile data science delivery using version control, CI/CD, and cloud-based tooling.
• Strong understanding of code quality, documentation, version control, testing, quality assurance and reproducibility.
• Able to manage a technical backlog and prioritise work based on value, effort, feasibility and business need.
• Strong stakeholder management skills, with the confidence to challenge, influence and simplify.
• Commercially minded, with a focus on outputs that drive action and measurable value.
• Able to explain complex data science work clearly to non-technical audiences.

• Award-winning pension scheme
• Bonus
• ShareSave options
• 6.6 weeks holiday
• Payroll giving
• Employee Assistance Programme
• Shopping discounts
• Colleague wellbeing benefits
  …and much more.

Equality and Inclusion

• ssorecruitment@b-and-q.co.uk
• recruitment@b-and-q.co.uk