At a Glance
- Tasks: Lead and develop a dynamic Data Science team, delivering impactful data products.
- 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 driving data science solutions that 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 at: ssorecruitment@b-and-q.co.uk or recruitment@b-and-q.co.uk.
Senior Data Scientist — Lead Data Products & Value (Hybrid) in Hampshire employer: B&q
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 hybrid working environment, competitive benefits including an award-winning pension scheme, and ample opportunities for professional growth within the data science field. Join us to make a meaningful impact while enjoying a supportive atmosphere that values diversity and inclusion.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist — Lead Data Products & Value (Hybrid) in Hampshire
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like B&q!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Scientist — Lead Data Products & Value (Hybrid) at B&q.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like B&q.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist — Lead Data Products & Value (Hybrid) at B&q, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Scientist — Lead Data Products & Value (Hybrid) in Hampshire
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at B&q, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at B&q. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at B&q
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at B&q!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
