Product Data Scientist

Blue Light Card
Leicester
1 week ago
Create job alert

Blue Light Card. Individually great, together unstoppable

The Role and the Team

We’re 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.

As a Product Data Scientist, you’ll be a key partner and collaborator to teams across Blue Light Card to support them with analytical insight. You'll ensure teams have an in-depth understanding of member and partner behaviour, putting actionable insight front of mind when making decisions and always pushing to use the most up to date techniques you can.

What You’ll Do


  • Leverage quantitative analysis and data storytelling to uncover user behaviour, identify pain points, and inform product strategy with actionable insights

  • Discover and size new opportunities by generating hypotheses, designing and supporting experiments, and fostering a culture of continuous learning and iteration

  • Define and align key metrics in collaboration with stakeholders, ensuring data accuracy and consistency across teams by partnering with engineers and developers

  • Build and maintain self-serve data tools and dashboards that provide quick access to core insights, empowering teams to make data-informed conclusions

  • Conduct deep-dive analyses to support strategic initiatives, delivering clear recommendations that drive business and product improvements

  • Maintain the central knowledge base by documenting reports, insights, and metric definitions within the Insights Hub to promote transparency and shared understanding

  • Collaborate cross-functionally to identify and close data or capability gaps, while sharing insights and fostering strong relationships across the business

  • Champion a unified data approach, ensuring consistent use of data sources and definitions, while staying current on analytics best practices and industry trends


What You’ll Bring


  • Extensive experience working with data in an analytical fashion, preferably in a digitally native tech environment

  • Experience using analytical tools/languages, e.g., SQL, dbt, Python, R, as well as BI suites such as Lightdash, Looker, or Tableau

  • Ability to translate business problems into analytical tasks, drawing conclusions and communicating insights to a variety of stakeholders across all levels

  • Experience using data storytelling, including presentation skills and the ability to present a convincing, data-led argument for ideas to internal stakeholders and colleagues

  • Ability to manage your development alongside the senior analytics team, identifying opportunities to improve both yourself and the team in line with market trends

  • A willingness to be a self-starter, and a detail-oriented problem solver, with a strong curiosity to understand user behaviour

  • Team player that is both highly collaborative and individually capable

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

  • 35 hour working week

  • Free parking and EV charging 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

  • Group auto-enrolment pension plan

  • 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 The Shine awards

  • Relaxed dress code and modern office space (games area, chill-out areas, book club, free drinks/snacks)

  • Onsite gym at HQ (including access to free HIIT & stretch classes)

  • Strong learning and development culture

#LI-Hybrid

Related Jobs

View all jobs

Head of Data Engineering [Riyadh]

Data Architect

Senior Data Scientist - Hometrack

Software Engineer

Senior Data Scientist

Senior Data Scientist

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.