At a Glance
- Tasks: Lead and develop a data science team, delivering impactful models and solutions.
- Company: Join B&Q, a leader in home improvement with a focus on innovation.
- Benefits: Competitive salary, generous holiday, pension scheme, and employee discounts.
- Other info: Hybrid working environment with a commitment to equality and inclusion.
- Why this job: Make a real difference in retail through data science and innovative solutions.
- Qualifications: Proven experience in data science leadership and strong technical skills in Python and SQL.
The predicted salary is between 90000 - 90000 £ per year.
From £90,000 + Pension + PMI + 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 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 at: ssorecruitment@b-and-q.co.uk recruitment@b-and-q.co.uk
Senior Data Scientist employer: B&q
At B&Q, we pride ourselves on being an exceptional employer, offering a competitive salary starting from £90,000 along with a comprehensive benefits package that includes an award-winning pension scheme, generous holiday allowance of 6.6 weeks, and opportunities for hybrid working. Our vibrant work culture fosters collaboration and innovation, providing ample growth opportunities for employees to lead and develop within the data science field while making a meaningful impact on our customers' lives in the heart of Southampton.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Get your online presence sorted! Make sure your LinkedIn profile is up-to-date and showcases your skills in machine learning, Python, and analytics. Join relevant groups and engage with posts to get noticed by potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with data science projects. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at B&Q.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with machine learning, Python, and stakeholder management. We want to see how your skills align with what we need!
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 us at B&Q. Keep it concise but impactful!
Showcase Your Projects:If you've worked on relevant data science projects, don’t hold back! Share examples that demonstrate your ability to take products from concept to production. We love seeing real-world applications of your skills.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Good luck!
How to prepare for a job interview at B&q
✨Know Your Data Science Stuff
Make sure you brush up on your technical skills, especially in Python and SQL. Be ready to discuss your experience with machine learning models like churn and customer lifetime value, as well as how you've taken data science products from concept to production.
✨Show Off 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 ability to set clear priorities and raise technical standards within a team.
✨Understand the Business Needs
Familiarise yourself with the company's goals and how data science can drive measurable value. Be prepared to discuss how you've translated business problems into practical data science solutions and how you prioritise work based on value and feasibility.
✨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've successfully communicated technical information to a broader audience.
