Data Scientist in Leicester

At Blue Light Card, our members are at the centre of everything we do. The Data Scientist team builds the algorithms and models that help us understand member behaviour, anticipate their needs, and keep our members engaged with the platform.

The Role and the Team

We’re looking for a Data Scientist, Decision Sciences, with a focus on retention and member engagement. You'll evaluate pipelines and results of retention models and identify improvements in outputs to improve the retention strategy. You'll partner closely with stakeholders across the organisation, translating complex questions into well‑designed solutions, and communicating your findings in ways that land with both technical and non‑technical audiences alike.

What You’ll Do

• Design, develop, and iterate on machine learning models across the member lifecycle, with a particular focus on retention, churn prediction, and customer lifetime value.
• Evaluate existing model pipelines and outputs, identifying and implementing improvements to increase accuracy and business impact.
• Work closely with the CRM Lifecycle team to connect model outputs to retention strategies, capturing feedback and incorporating it back into model development.
• Build forecasting models and marketing mix models to support financial planning and commercial decision‑making.
• Translate ambiguous business problems into well‑defined data science approaches, conducting deep‑dive analyses across member behaviour, commercial performance, and marketing effectiveness.
• Build and interpret A/B tests and holdout experiments to support evidence‑based decision‑making.
• Create dashboards and visualisations that help the wider organisation understand model results and progress.
• Act as a trusted partner to business and analytics stakeholders, understanding their goals and proactively identifying where data science can add value.

What You’ll Bring

• Significant experience as a Data Scientist, with a background in marketing analytics, ecommerce, or a loyalty or membership‑driven environment.
• Strong Python proficiency for data manipulation, statistical modelling, and machine learning, alongside advanced SQL skills and experience with dbt.
• Solid grounding in statistical methods including regression, causal inference, and experimental design, with hands‑on experience building and interpreting A/B tests.
• Practical experience building predictive models, particularly in retention or customer engagement contexts, with working knowledge of MLOps practices and model deployment pipelines.
• Experience collaborating with CRM or lifecycle marketing teams, with the ability to shape model outputs into actionable recommendations.
• The ability to communicate complex findings clearly to non‑technical stakeholders, and to build reusable data products that others can act on independently.
• Familiarity with CLV modelling frameworks such as BG/NBD, Pareto/NBD, or ML‑based approaches would be a bonus, but is not essential.

Equal Opportunity Statement

Blue Light Card is an equal opportunities employer. We believe that employing a diverse workforce is key to our success. We make recruiting decisions based on your experience and skills. In the event of a high number of applications, we’ll prioritise candidates who meet both the essential and desirable criteria for the role.

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).
• Onsite gym at HQ (including access to free HIIT & stretch classes).
• Strong learning and development culture and personal growth fund.