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- Tasks: Join our Data team to analyse user behaviour and inform product strategy.
- Company: Blue Light Card supports real-life heroes with discounts and innovative products.
- Benefits: Enjoy hybrid working, flexible hours, 25 days leave, and a bonus scheme.
- Why this job: Be part of a mission-driven team that values diversity and innovation.
- Qualifications: Experience with data analysis tools like SQL, Python, and data storytelling skills required.
- Other info: Work in a modern office with great perks like free snacks and an onsite gym.
The predicted salary is between 36000 - 60000 £ per year.
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.
Contact Detail:
Blue Light Card Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Data Scientist - hybrid
✨Tip Number 1
Familiarise yourself with the specific analytical tools mentioned in the job description, such as SQL, Python, and BI suites like Tableau. Being able to demonstrate your proficiency in these tools during discussions can set you apart from other candidates.
✨Tip Number 2
Prepare to discuss your experience with data storytelling. Think of examples where you've successfully communicated complex data insights to non-technical stakeholders, as this is a key aspect of the role.
✨Tip Number 3
Showcase your collaborative skills by thinking of instances where you've worked cross-functionally. Be ready to explain how you’ve built relationships with different teams to achieve common goals, as this aligns with the company culture.
✨Tip Number 4
Stay updated on the latest trends in analytics and data science. Mentioning recent developments or best practices during your conversations can demonstrate your commitment to continuous learning and improvement, which is highly valued in this role.
We think you need these skills to ace Product Data Scientist - hybrid
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the key responsibilities and required skills for the Product Data Scientist position. Tailor your application to highlight how your experience aligns with these requirements.
Showcase Relevant Experience: In your CV and cover letter, emphasise your experience with data analysis tools like SQL, Python, or R. Provide specific examples of how you've used these skills to drive insights and inform product strategies in previous roles.
Highlight Data Storytelling Skills: Demonstrate your ability to communicate complex data insights clearly. Include examples of presentations or reports where you successfully conveyed analytical findings to stakeholders, showcasing your storytelling capabilities.
Express Your Collaborative Spirit: Since the role involves cross-functional collaboration, mention instances where you've worked effectively within teams. Highlight your ability to build relationships and share insights that foster a unified approach to data.
How to prepare for a job interview at Blue Light Card
✨Understand the Role
Make sure you thoroughly understand the responsibilities of a Product Data Scientist. Familiarise yourself with how data storytelling and quantitative analysis can impact product strategy, as this will be crucial in demonstrating your fit for the role.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with analytical tools and languages like SQL, Python, or R. Highlight specific projects where you've used these skills to derive insights or solve problems, as this will show your technical competence.
✨Prepare for Data Storytelling
Practice presenting data-driven insights in a clear and compelling way. Think of examples where you've successfully communicated complex data to stakeholders, as this will illustrate your ability to translate data into actionable recommendations.
✨Emphasise Collaboration
Since the role involves working cross-functionally, be ready to discuss your experiences collaborating with different teams. Share examples that highlight your teamwork skills and how you've fostered strong relationships to achieve common goals.
