Data Scientist in London

Data Scientist in London

London Full-Time 36000 - 60000 £ / year (est.) No working from home possible
Blue Light Card

At a Glance

  • Tasks: Join our Data Team to enhance personalisation and experimentation capabilities.
  • Company: Blue Light Card, dedicated to making heroes happy with innovative solutions.
  • Benefits: Hybrid working, 25 days leave, medical insurance, and exclusive discounts.
  • Other info: Dynamic culture with great career growth, social events, and a relaxed office environment.
  • Why this job: Make a real impact by using data to improve user experiences and drive innovation.
  • Qualifications: Experience in data science, strong Python skills, and knowledge of machine learning.

The predicted salary is between 36000 - 60000 £ per year.

We are growing as a business and as our Data Team continues to evolve, we are looking for an experienced, stakeholder-focused Data Scientist to help us advance our personalisation and experimentation capabilities. You will 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 & stretch classes).
  • Strong learning and development culture and personal growth fund.

Data Scientist in London 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 members, and enjoy a range of benefits including hybrid working, generous leave policies, and a strong commitment to employee well-being. With a focus on innovation and community, we empower our employees to thrive while making a real difference in the lives of those who serve us all.

Blue Light Card

Contact Details:

Blue Light Card Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist in London

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 make you stand out.

Tip Number 2

Prepare for those technical interviews! Brush up on your Python skills and be ready to discuss your experience with machine learning models. Practise explaining your past projects in a way that highlights your problem-solving skills and how you’ve used data to drive decisions.

Tip Number 3

Show off your data storytelling skills! When you get the chance, present your insights clearly and confidently. Use visuals if you can – it helps to make complex data more digestible and shows you can communicate effectively with stakeholders.

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 in London

Quantitative Analysis
Data Storytelling
A/B Testing
Machine Learning
Python
Predictive Modelling
Cloud-based Machine Learning Platforms

Some tips for your application 🫡

Show Your Data Passion:When you're 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 Application:Make sure to customise your application to highlight the skills and experiences that align with our job description. Mention your experience with Python, machine learning models, and A/B testing. This shows us you’ve done your homework and understand what we’re looking for!

Be Clear and Concise:Keep your application straightforward and to the point. Use clear language and avoid jargon where possible. We appreciate candidates who can communicate complex ideas simply, as this is key in our collaborative environment.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values!

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 experience with Python and any cloud-based machine learning platforms you've used. This is your chance to show off your technical skills!

Showcase Your Problem-Solving Skills

Prepare to share specific examples of how you've identified opportunities for personalisation or improved data products in the past. Think about the challenges you faced and how you overcame them. This will demonstrate your ability to think critically and creatively.

Communicate Like a Pro

Since you'll be collaborating with various teams, practice explaining complex data concepts in simple terms. Use storytelling techniques to convey how your insights can drive business decisions. This will help you connect with stakeholders and show that you can bridge the gap between data and action.

Be Ready to Discuss Team Dynamics

Blue Light Card values collaboration, so be prepared to talk about how you've built relationships with cross-functional teams in the past. Share examples of how you've worked together to achieve common goals, and highlight your commitment to fostering an inclusive team environment.