Job Specifications
Blue Light Card. Individually great, together unstoppable
The Role and the Team
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) on 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 S