Data Scientist - hybrid

Blue Light Card
Leicester
3 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

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 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

#LI-Hybrid

Remote Status: hybridLocation 1 Charnwood Edge Business ParkCossingtonLeicesterLE7 4UZUnited KingdomLocation 2 *(if applicable) 24-28 Bloomsbury WayLondonLondonWC1A 2SNUnited Kingdom

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.