At a Glance
- Tasks: Lead and develop a dynamic Data Science team to drive impactful projects.
- Company: Join B&Q, a leader in home improvement with a focus on innovation.
- Benefits: Enjoy a competitive salary, generous holiday, and fantastic employee perks.
- 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 leadership in data science and strong technical skills in machine learning.
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 Manager in Eastleigh employer: B&Q Limited
At B&Q, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration. Located in Southampton, our Store Support Office provides a supportive environment with extensive employee benefits, including a competitive salary, generous holiday allowance, and opportunities for professional growth within the data science field. Join us to make a meaningful impact while enjoying a balanced hybrid working model and a commitment to equality and inclusion.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist Manager in Eastleigh
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work at B&Q or similar companies. A friendly chat can lead to insider info about the role and even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with machine learning and Python, and have examples of your past projects handy. We want to see how you can bring value to our team!
✨Tip Number 3
Show us your passion for data! During interviews, share your thoughts on the latest trends in data science and how they could apply to B&Q. This will demonstrate your enthusiasm and keep the conversation engaging.
✨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 Manager in Eastleigh
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist Manager role. Highlight your experience in leading data science teams and managing projects, as well as your technical skills in Python and SQL. We want to see how your background aligns with our needs!
Showcase Your Achievements:Don’t just list your responsibilities; showcase your achievements! Use specific examples of how you've driven measurable value through data science in previous roles. This will help us see the impact you can bring to B&Q.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you're passionate about data science and how you can contribute to our mission at B&Q. We love seeing candidates who are genuinely excited about the role and our company.
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 ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at B&Q Limited
✨Know Your Data Science Stuff
Make sure you brush up on your technical skills, especially in machine learning and Python. 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 Manager, you'll need to lead and coach a team. Prepare examples of how you've successfully managed and developed technical specialists in the past. Highlight your ability to set clear priorities and raise technical standards.
✨Understand the Business Context
Familiarise yourself with B&Q's business model and how data science can solve real-world problems for them. Be ready to translate complex data science concepts into practical solutions that align with their goals, showing that you can challenge unclear briefs effectively.
✨Engage with Stakeholders
Demonstrate your strong stakeholder management skills by preparing to discuss how you've influenced and simplified complex projects in the past. Show that you can communicate clearly with non-technical audiences and ensure everyone is on the same page.
