At a Glance
- Tasks: Join our Data Team to enhance personalisation and experimentation capabilities.
- Company: Blue Light Card, dedicated to making heroes happy.
- Benefits: Hybrid working, 25 days leave, company bonus, and exclusive discounts.
- Other info: Enjoy a vibrant culture with social events and a relaxed dress code.
- Why this job: Make a real impact with data while developing your skills in a supportive environment.
- Qualifications: Experience in data science, strong Python skills, and knowledge of machine learning.
The predicted salary is between 30000 - 50000 £ per year.
We’re growing as a business and as our Data Team continues to evolve, we’re looking for an experienced, stakeholder focused Data Scientist to help us advance our personalisation and experimentation capabilities. You’ll cross-functionally collaborate with the Data team, Engineering, Product and CRM teams, including senior stakeholders, to identify high-value opportunities for personalisation, designing and implementing recommender systems, propensity models and scoring solutions, validating different approaches using robust A/B testing frameworks, and presenting insights and recommendations back to stakeholders. This role offers a real opportunity for both personal and technical development and future career progression for the right person.
What You’ll Do
- Apply your expertise in quantitative analysis and data storytelling to see beyond the numbers and understand how our users interact with our products, their needs and challenges, and how those insights can inform our personalisation strategy.
- Proactively use data to discover and size opportunities, generate hypotheses, propose, design and help run experiments and ensure we keep learning and improving.
- Build and maintain key data products to enable business teams to self-serve and allow quick access to core insights and metrics, embedding a data-informed approach to decisions.
- Manage the end-to-end lifecycle of our data products and machine learning models, including conception, design, feature engineering, testing, implementation, monitoring and maintenance.
- Build, evaluate and deploy machine learning models, including classification, regression, propensity modelling, graph analysis, and causal inference.
- Use recommender systems and personalisation algorithms to help us present the right offers to the right member at the right time through the right channel.
- Improve our existing recommendation models, and test and implement new solutions that will allow us to serve our customer base according to their needs, preferences and behaviours.
- Develop strong relationships with all teams at Blue Light Card, sharing learnings to maximise the access and value of insights, algorithms and data products across the business.
What You’ll Bring
- Proven experience working with data in data science or analytics, preferably in a digitally native tech environment.
- Strong experience with Python is essential.
- Experience building predictive models (classification, regression, propensity modelling, graph analysis, segmentation and clustering analysis) in an industrial or academic environment.
- Hands-on experience with cloud-based machine learning platforms (AWS SageMaker, Databricks, Google Vertex AI, Azure ML).
- A solid understanding of statistical methods, A/B testing, and experimental design.
- Degree in a numerate subject e.g., Economics, Quantitative Social Science, Behavioural Science, Statistics, Computer Science or Engineering is preferable but not essential.
- Understanding of search retrieval, search quality or information theory would be highly beneficial.
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.
- 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 annual 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 classes).
Data Scientist employer: Blue Light Card
At Blue Light Card, we pride ourselves on being an exceptional employer that champions personal and professional growth within a vibrant and inclusive work culture. Our Data Scientist role offers the chance to collaborate with diverse teams, engage in meaningful projects that directly impact our community, and enjoy a range of benefits including hybrid working, generous leave policies, and a supportive environment that prioritises employee well-being and development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees at Blue Light Card on LinkedIn. Ask them about their experiences and any tips they might have for the interview process. This can give you insider knowledge and help you stand out.
✨Tip Number 2
Prepare for your interview by brushing up on your data storytelling skills. Be ready to explain complex data concepts in simple terms. Remember, it’s not just about the numbers; it’s about how those numbers impact the business and its users.
✨Tip Number 3
Showcase your hands-on experience with machine learning models during interviews. Bring examples of projects you've worked on, especially those that involved A/B testing or personalisation algorithms. This will demonstrate your practical knowledge and problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Blue Light Card team.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Show Your Data Passion:When writing your application, let your enthusiasm for data science shine through! Share specific examples of how you've used data to solve problems or improve processes. We love seeing candidates who are genuinely excited about using data to make a difference.
Tailor Your CV:Make sure your CV is tailored to the role of Data Scientist at Blue Light Card. Highlight relevant experience with Python, machine learning models, and A/B testing. We want to see how your skills align with our needs, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for our team. Use it to explain how your background and skills will help us advance our personalisation and experimentation capabilities. Keep it engaging and personal – we want to get to know you!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our culture there, which can help you tailor your application even further!
How to prepare for a job interview at Blue Light Card
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around predictive modelling and A/B testing. Be ready to discuss your past projects and how you've applied these techniques in real-world scenarios.
✨Showcase Your Collaboration Skills
Since this role involves working with various teams, be prepared to share examples of how you've successfully collaborated with stakeholders in the past. Highlight any cross-functional projects where you’ve made a significant impact.
✨Prepare for Technical Questions
Expect some technical questions related to Python and machine learning platforms. Practise coding challenges or case studies that demonstrate your problem-solving skills and ability to build and deploy models.
✨Bring Data-Driven Insights
Think about how you can use data storytelling to present insights from your previous work. Prepare a few key examples where your analysis led to actionable recommendations, and be ready to discuss how those insights could apply to Blue Light Card.
