At a Glance
- Tasks: Drive the analytical lifecycle, shaping product strategy with data-driven insights.
- Company: Join Blue Light Card, a mission-driven company making heroes happy.
- Benefits: Enjoy hybrid working, 25 days leave, and exclusive discounts.
- Why this job: Make a real impact using AI tools and innovative data practices.
- Qualifications: Experience in analytics, fluency in SQL, and strong storytelling skills.
- Other info: Collaborative culture with great social events and modern office perks.
The predicted salary is between 50000 - 60000 £ per year.
We are looking for experienced Product Data Scientists to join our Data team in an exciting growth phase to help shape how we do things as we continue to evolve. You will be embedded as the analytical backbone of your pillar, acting as a strategic consultant to product, engineering, and commercial teams. This means blending rigorous statistical thinking with sharp commercial judgement, knowing when to run a full experiment and when a well-reasoned analysis is enough to move fast. You will use AI tools and automation intelligently to work at pace, scale your output, and focus your energy where human judgement matters most.
What You’ll Do
- From hypothesis to recommendation, you drive the full analytical lifecycle in your pillar. You define the right metrics, build the right models and make sure your insights land, not just in a deck, but in decisions.
- Work shoulder-to-shoulder with Product Managers, Engineers, and Senior Leaders to shape strategy. You’ll translate ambiguous business problems into clear analytical tasks and bring a point of view, not just a chart.
- Lead experimentation across your pillar, designing tests, sizing opportunities, interpreting results, and building a culture of evidence-based iteration.
- Create self-serve dashboards and data tools that empower your teams to answer their own questions. Define and standardise metrics so everyone’s working from the same source of truth.
- Use AI-assisted workflows, from code generation to automated reporting, to accelerate your output and spend more time on the high-value analytical problems that require your expertise.
- Document your work in our Insights Hub, champion consistent data practices, and actively share learnings across the data team.
What You’ll Bring
- Extensive experience in an analytical role, ideally within a product-led or digitally native environment.
- Fluency in SQL and at least one scripting language (Python or R); experience with dbt is essential.
- Hands-on experience with BI tools such as Lightdash, Looker, or Tableau.
- A track record of influencing decisions; you know how to tell a compelling, data-led story to stakeholders at all levels.
- Strong experiment design and statistical reasoning skills; you understand when the numbers are telling you something real.
- Comfort working across teams and managing multiple priorities without losing rigour.
- Genuine curiosity about user behaviour and a drive to understand the why behind the data.
- An openness to integrating AI tools into your workflow and a mindset for continuous improvement.
Our Culture
Our mission is simple - make heroes happy. Our members are the real-life heroes who keep us all safe, cared for, and thriving. It’s what gets us up in the morning and pushes us to go further, think bigger, and create something that truly matters. By focusing on their happiness, we create amazing experiences, deliver unrivalled discounts, innovative products, and world-class service.
We don’t just follow the usual path - we look for smarter, bolder ways to deliver real impact. We take ownership, move fast, and work shoulder to shoulder to build something special. We’re committed to building a diverse and inclusive team where everyone feels they belong. Different perspectives and experiences help us grow, innovate, and better reflect the communities we serve.
We promote hybrid working and value in-person collaboration, so encourage time in our offices, where you can make the most of our fully stocked snack drawers - either the HQ in Leicestershire, or London, Holborn office. The frequency and office location will vary depending on the role and team; we aim to be flexible, but we aren’t able to offer fully remote working.
What We Offer
- Hybrid working and flexible hours.
- EV charging and free parking onsite at HQ.
- 25 days annual leave plus an additional day off for your birthday, and a buy and sell holiday scheme of up to 5 days.
- A company bonus scheme.
- Your own Blue Light Card and exclusive access to thousands of discounts.
- Generous funded BUPA medical insurance covering pre-existing conditions.
- Auto-enrolment pension scheme via salary sacrifice, with employer NI savings reinvested into pensions.
- Enhanced parental leave and absence leave.
- Healthcare cashback plan.
- Employee assistance programme (including mental health support) and mental health first aiders.
- Great social events e.g., festive party, summer party, team socials, sports matches.
- Regular company-wide recognition events e.g. monthly Light's Up and annual Shine awards.
- Relaxed dress code and modern office space (games area, chill-out areas, book club, free drinks/snacks).
Product Data Scientist in Leicester employer: Blue Light Card
Contact Detail:
Blue Light Card Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Data Scientist in Leicester
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at events. Ask them about their experiences and the company culture. This not only gives you insider info but also shows your genuine interest in Blue Light Card.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and Python skills. Be ready to discuss how you've used data to influence decisions in past roles. We want to see your analytical prowess in action!
✨Tip Number 3
Showcase your curiosity! During interviews, share examples of how you've explored user behaviour and turned insights into actionable strategies. We love candidates who can connect the dots between data and real-world impact.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, it shows you're serious about joining our team at Blue Light Card.
We think you need these skills to ace Product Data Scientist in Leicester
Some tips for your application 🫡
Show Your Analytical Skills: When you're writing your application, make sure to highlight your analytical experience. We want to see how you've tackled complex problems and used data to drive decisions. Share specific examples that showcase your skills in SQL, Python, or R!
Tailor Your Application: Don't just send a generic application! Take the time to tailor your CV and cover letter to reflect the role of Product Data Scientist. Mention how your experience aligns with our mission to make heroes happy and how you can contribute to our growth.
Be Clear and Concise: We appreciate clarity! Make sure your application is easy to read and gets straight to the point. Use bullet points where necessary and avoid jargon unless it's relevant. We want to understand your journey without getting lost in the details.
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Blue Light Card
✨Know Your Data Tools
Make sure you're well-versed in SQL and at least one scripting language like Python or R. Brush up on your experience with BI tools such as Lightdash, Looker, or Tableau, as these will be crucial in demonstrating your technical skills during the interview.
✨Showcase Your Analytical Mindset
Prepare to discuss how you've driven the analytical lifecycle in previous roles. Be ready to share specific examples of how you've defined metrics, built models, and influenced decisions with data-led stories. This will highlight your ability to translate complex problems into actionable insights.
✨Emphasise Experimentation Skills
Since experimentation is key in this role, come prepared with examples of tests you've designed and the results you've interpreted. Discuss how you’ve built a culture of evidence-based iteration in your past teams, showcasing your strong experiment design and statistical reasoning skills.
✨Demonstrate Collaboration and Curiosity
This role requires working closely with various teams, so highlight your experience in cross-team collaboration. Also, express your genuine curiosity about user behaviour and your drive to understand the 'why' behind the data. This will show that you’re not just a number cruncher but someone who cares about the impact of your work.