B&Q Chandler's Ford, England, United Kingdom
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B&Q Chandler's Ford, England, United Kingdom
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Permanent
From £75,000 + Pension + BUPA +ShareSave+ 6.6 weeks holiday+ Hybrid Working (2-3 days per month in the office)
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.
Overview
Permanent
From £75,000 + Pension + BUPA +ShareSave+ 6.6 weeks holiday+ Hybrid Working (2-3 days per month in the office)
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.
Role P urpose :We're looking for a high-impact Data Science Manager to lead the development and delivery of complex analytics and machine learning solutions that unlock customer insight, drive smarter decision-making and fuel personalisation across B&Q and TradePoint .
What's the job?
Key Responsibilities
- Lead end-to-end delivery of data science projects, challenging current approaches and driving innovation.
- Develop and deploy predictive models (e.g. churn, forecasting, customer value) and customer segmentations.
- Build and improve marketing measurement models, including incrementality and effectiveness.
- Translate business goals into data science solutions, working closely with product managers and stakeholders.
- Manage project backlogs using Agile methodologies to prioritise analytical needs.
- Support personalisation and targeting strategies across all customer channels.
- Stay ahead of industry trends and bring external thinking into B&Q’s data science practice.
- Drive adoption of data science products across the business and ensure they deliver measurable value.
- Build strong cross-functional relationships and advocate for data-driven decision-making.
What We Need
What You’ll Bring:
- Experience working specifically with customer data
- Advanced programming skills in Python or R, with strong SQL knowledge and clean coding practices.
- Proven experience in machine learning, predictive modelling, segmentation, and time series analysis using tools like TensorFlow, PyTorch, Scikit-learn, or Keras.
- A track record of deploying data science solutions into production and driving measurable business impact.
- Experience with cloud-based platforms (e.g., Databricks, Snowflake, BigQuery).
- Strong leadership and coaching skills, with experience managing technical teams in Agile environments.
- A commercial mindset with the ability to translate complex data into clear, actionable insights.
- Passion for data quality, governance, and version control (GitHub).
- A curious, collaborative approach and a flair for storytelling with data.
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 opportunities.You 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.Seniority level
- Seniority levelMid-Senior level
Employment type
Job function
- Job functionEngineering and Information Technology
- IndustriesRetail
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