At a Glance
- Tasks: Lead and develop a dynamic Data Science team to drive impactful data solutions.
- Company: Join B&Q, a leader in home improvement with a focus on innovation.
- Benefits: Enjoy a competitive salary, generous holiday, and an award-winning pension scheme.
- Other info: Hybrid working model with a commitment to equality and inclusion.
- Why this job: Make a real difference by leveraging data science to enhance customer experiences.
- Qualifications: Proven experience in data science leadership and strong technical skills in Python and SQL.
The predicted salary is between 90000 - 90000 £ per year.
Permanent position with a salary from £90,000 + Pension + PMI + ShareSave + 6.6 weeks holiday + Hybrid Working in 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 Senior Data Scientist and you’ll be a big part of this.
What's the job?
- 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.
What we need:
- 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.
What's in it for me?
As well as a competitive salary, our benefits package includes:
- 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
We want to ensure that all employees, future employees, and applicants to all Kingfisher companies are treated equally regardless of age, gender, marital or civil partnership status, colour, ethnic or national origin, culture, religious belief, philosophical belief, political opinion, disability, gender identity, gender expression, or sexual orientation.
If you require any additional support or adjustments to help you make an application, please contact us.
Senior Data Scientist — Lead Data Products & Value (Hybrid) in Eastleigh employer: B&Q Limited
At B&Q, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our Southampton Store Support Office provides a supportive environment where you can lead and develop a talented Data Science team while enjoying a competitive salary and extensive benefits, including a generous pension scheme, 6.6 weeks of holiday, and opportunities for personal growth. Join us to make a meaningful impact in the retail sector, leveraging data science to enhance customer experiences and drive business success.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist — Lead Data Products & Value (Hybrid) in Eastleigh
✨Tip Number 1
Network like a pro! Reach out to current employees at B&Q or in similar roles on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with machine learning and data science products. We want to see how you can bring value to the team!
✨Tip Number 3
Showcase your leadership skills! Think of examples where you've coached or developed others in your field. B&Q is looking for someone who can lead the Data Science team, so let that shine through.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the B&Q family.
We think you need these skills to ace Senior Data Scientist — Lead Data Products & Value (Hybrid) in Eastleigh
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience in leading data science projects and managing teams, as well as your technical skills in Python and SQL. We want to see how your background aligns with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can drive value for B&Q. Don’t forget to mention specific projects or achievements that showcase your skills and experience.
Showcase Your Technical Skills:We’re keen on your technical prowess, so make sure to include any relevant projects or experiences that demonstrate your knowledge of machine learning, statistics, and cloud-based platforms. This is your moment to show us what you can do!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of it. Plus, you’ll find all the details you need about the role and our company there!
How to prepare for a job interview at B&Q Limited
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning, statistics, and applied analytics knowledge. Be ready to discuss specific models you've developed, like churn or customer lifetime value, and how they drove measurable value in previous roles.
✨Showcase Your Leadership Skills
As a Senior Data Scientist, you'll be leading a team. Prepare examples of how you've coached or developed technical specialists in the past. Highlight your experience in managing backlogs and prioritising work based on business needs.
✨Communicate Clearly
You’ll need to explain complex data science concepts to non-technical stakeholders. Practice simplifying your explanations and think of examples where you successfully translated business problems into practical data science solutions.
✨Stay Current with Industry Trends
Bring external thinking into the interview by discussing recent developments in retail, customer analytics, and AI. Show that you're proactive about staying updated and how you can apply this knowledge to benefit the company.
