Data Science Manager

  • B&Q
  • Hybrid (Eastleigh, UK)
  • 07/06/2024
Full time Data Science Data Analytics Statistics Biostatistics Data Warehouse

Job Description


From £65,000 + Pension + BUPA + ShareSave + 6.6 weeks holiday + Hybrid Working

Southampton, Store Support Office

We believe anyone can improve their home to make life better. From our Southampton Store Support office (SSO) we equip our stores, our people, and our whole business with everything it takes to help our millions of customers create a home they’ll love. Join us as a Data Science Manager and you’ll be a big part of this.

Key responsibilities

Reporting into the Head of Analytics and Data Science within the Customer Team at B&Q, the Data Science Manager will be responsible for creating and delivering our most complex analytics and data science models, helping to answer complex and diverse questions from across the business. They will interact with a varied group of stakeholders to drive up the understanding of customers across the organisation, helping to shape our future strategies, improve customer experience, deepen engagement, drive revenue, and improve business efficiencies across both B&Q and TradePoint.

The Data Science Manager will be themselves an exceptional Data Scientist and will lead our development on our most complex data science products and analytics using agile working methodologies making sure we’re delivering the right priorities.

If you would like to work in a collaborative, fast paced, encouraging and future thinking environment, where you’re empowered to be creative and drive performance… then this could be your next role.

Required skills & experience

Key Accountabilities / Responsibilities:

  • End-to-end responsibility for all data science projects within the team. Ensuring that we challenge the status quo, challenging our current approaches and models and creating new ones to continually improve.
  • Lead development of new and improve existing models of customer behaviour, be that churn models, time series forecast models, value assessment of the customer base or other more specific and target models.
  • Lead the deployment models into production so they can be consumed by other analytical teams across the business.
  • Develop new and improve existing segmentations that can used in marketing activity and across the business, to both help target and describe customers.
  • Determine new methods and models to measure the incrementality of our marketing activity.
  • Deliver complex descriptive and predictive customer behavioural analytics.
  • Working alongside the Analytics Manager within the team to help identify opportunities for new or improved models and approaches that can be used to better target or assess our activity.
  • Management of work backlog, using agile management practices to prioritise effectively across the varying analytical needs.
  • Bring external thinking to B&Q by maintaining an awareness of analytics usage in retail and other sectors and by keeping abreast of competitor technology and developments.
  • Support the growth of new channels, Services, Digital, MarketPlace and Retail Media through the use of “Next Best Offer” engines and other models and segmentations.
  • Build relationships with key stakeholders from across the business and translate their ambitions and goals into data science products.
  • Work closely with Kingfisher Group Data Science, collaborating closely with and delivering against a shared data science roadmap.
  • Agitate the organisation to make sure we are fully realising the art of the possible and delivering maximum value to B&Q and our customers.

Required Skills & Experience:

  • You have extensive programming ability across Python or R with a strong ability to use SQL. A strong understanding of efficiency and best practice in how code should be written and the ability to communicate and install this within the wider team.
  • You’ve excellent analytical skills and statistical understanding, including experience in: predictive modelling, segmentation, time series analysis and applying these for decision making.
  • You’ve had experience using cloud based analytical platforms such as Databricks, Snowflake, Google BigQuery and the like.
  • You've a track record of taking data science products from conception through to deployment in production.
  • You’ve had experience deploying data science workflows with tools like Airflow or Databricks.
  • You’ve a strong commitment to accuracy and rigour in analysis that is produced.
  • You care about Quality Assurance, and lead coding documentation and version control best practices using GitHub. You are empathetic to the importance of Data Governance and good Data Quality.
  • You know the basics of and want to explore new realms of customer behavioural analysis and omnichannel personalisation.
  • You’ve used Jira/Confluence before for managing workloads and documentation.
  • You’re curious: about how things work and getting to the bottom of business problems and data nuances.
  • You understand and maximise the value of analysis and data science, and act with a commercial lens, prioritising the actions and usefulness of outputs.
  • You’re a skilled storyteller who can bring that value to others – you know numbers don’t always speak for themselves and have excellent visuals to support.
  • You’ve an awareness and understanding of technology and trends in Data Science and Analytics.
  • You’re up for a challenge… and used to pushing boundaries

What's in it for me?

As part of a great team, you’ll be valued for who you are.We’re committed to making B&Q more diverse and representative of the communities we serve, where everyone can feel they belong and have equal opportunitiesYou will have access to a range of networks that represent our colleagues and allies and help us to continue to put diversity and inclusion at the heart of our business.

We also recognise that wellness means different things to different people, and we want to help colleagues be at their best and feel well by offering a range of benefits to help you. As well as a competitive salary, our benefits package includes an award-winning pension scheme, bonus, ShareSave options, 6.6 weeks holiday, payroll giving, an Employee Assistance Programme, shopping discounts, colleague wellbeing benefits and lots more!

So we can support you during the application or interview process, please contact for any recruitment adjustments.