At a Glance
- Tasks: Lead the development of innovative data science products that shape Boots' future.
- Company: Join Boots, one of the UK’s largest retailers, in a dynamic Digital team.
- Benefits: Enjoy generous discounts, retirement savings plan, and enhanced leave pay.
- Other info: Be part of an inclusive culture that values collaboration and personal growth.
- Why this job: Make a real impact while growing your career in a supportive environment.
- Qualifications: Numerate degree and at least three years of Data Scientist experience required.
The predicted salary is between 60750 - 74250 £ per year.
Join Our Team as a Senior Data Scientist at Boots in Nottingham! Are you ready to make a real impact in one of the UK’s largest retailers? At Boots, we’re on the lookout for a Senior Data Scientist to join our dynamic Digital team in Nottingham, Beeston. This is your chance to lead the development of innovative data science products that will shape the future of our business across various domains, including commercial marketing, supply chain, and healthcare modelling.
Why Boots? At Boots, we believe in building a brilliant workplace for our people. Our Employer Value Proposition is simple: we work every day to empower our colleagues to make a difference for our customers and each other. Here’s what you can expect:
- We’re more together: Join a team that values collaboration and collective impact.
- We believe in you: Your work will have meaning and impact, and you’ll be trusted to drive progress.
- We make progress: Embrace a learning mindset and be supported in your growth.
- We’re with you: Your contributions matter, and you’ll have the tools and mentorship to thrive.
- We belong here: Help create an inclusive culture where everyone feels valued.
What You’ll Do As a Senior Data Scientist, you will:
- Shape business opportunities into clear data science requirements.
- Develop and deploy both from scratch and fine-tuned ML models.
- Train and evaluate different model types (classification, forecasting, regression GBMs, MLPs).
- Define suitable accuracy metrics, baselines and experiments.
- Build scalable solutions using Python, SQL, Databricks and PySpark.
- Create automated Databricks workflows and deploy through Asset Bundles.
- Structure codebases using Git, testing and peer review.
- Work with engineering and MLOps teams to move models into production.
- Monitor and continuously improve live data products.
- Explain data science clearly to non-technical stakeholders.
- Maintain appropriate documentation, security and data-protection standards.
- Provide technical guidance and support the development of less experienced colleagues.
Essential skills:
- A numerate degree, such as mathematics, statistics, data science, computer science, engineering, physics, or economics.
- At least three years of experience as a Data Scientist.
- Strong Python and SQL skills.
- Practical experience training machine learning models.
- Experience with Git and collaborative development practices.
- Experience translating business requirements into analytical solutions.
- Strong stakeholder-management and communication skills.
- Databricks notebooks, workflows and Declarative Automation Bundles (AKA Asset Bundles).
- Spark or PySpark.
- Training machine learning models in Databricks.
- Time-series forecasting and classification models.
- Azure DevOps Repos, Boards and Pipelines.
- Experience deploying models at scale and promoting them through environments.
- Retail, e-commerce, CRM or Loyalty data science experience.
Additional experience:
- Experience with Databricks model training and inference, Databricks Apps, Lakebase or LLM fine-tuning would be beneficial.
What’s in It for You?
- Boots Retirement Savings Plan with up to 12% company contribution.
- Generous employee discounts for you and a family member.
- Enhanced maternity/paternity/adoption leave pay.
Ready to Join Us? If you’re excited about the opportunity to make a difference and grow your career with Boots, we want to hear from you! Let’s shape the future together.
What’s next? Our team will be in touch to discuss your application and the next steps. We’re committed to creating a supportive and inclusive environment, so if you need any adjustments during the application process, just let us know.
Be brilliant with Boots! We are proud supporters of Women in Data. Connect, engage and belong to the largest free female data community in the UK - visit: womenindata.ai to join our community. Stay connected! Follow us on LinkedIn for updates on career opportunities and more.
Senior Data Scientist - 12M FTC in Nottingham employer: Women in Data®
At Kingfisher, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation. As a Portfolio Strategy & Delivery Lead, you will have access to extensive growth opportunities within our technology sector, alongside competitive benefits that support your well-being. Our commitment to continuous improvement ensures that you will play a vital role in shaping the future of our business while working in a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - 12M FTC in Nottingham
✨Tap into Online Data Science Communities
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Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
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We think you need these skills to ace Senior Data Scientist - 12M FTC in Nottingham
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Women in Data®, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Women in Data®, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Women in Data®’s attention and show the tangible impact of your work.
How to prepare for a job interview at Women in Data®
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Women in Data®.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Women in Data®.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Women in Data®.
