Data Scientist in London

Data Scientist in London

London Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
Funding Circle Ltd.

At a Glance

  • Tasks: Develop and optimise machine learning models to support small businesses.
  • Company: Join Funding Circle, a fintech leader dedicated to empowering UK small businesses.
  • Benefits: Enjoy competitive salary, flexible work, health perks, and a learning allowance.
  • Other info: Be part of a supportive team culture in a dynamic, hybrid work environment.
  • Why this job: Make a real impact while working with cutting-edge data technology.
  • Qualifications: Recent graduate in a quantitative field with Python and SQL skills.

The predicted salary is between 63000 - 77000 £ per year.

We’re on a mission to back the UK’s small businesses like no one else. Small businesses are the backbone of the economy, and we’re here to help them win. We’ve built a platform that uses clever data to get them the funding they need in minutes, not weeks. At Funding Circle, we have the restless energy of a fintech start-up with the stability of a public company. It’s a unique mix that gives Circlers the autonomy to take ownership and the scale to make an impact that truly counts. We’re a high-performing team that chooses to lift each other up. We challenge, we champion, and we have each other’s backs - because we know that when we stand together, we move faster and build better. The impact is real: Last year alone, the businesses on our platform generated £7.2bn for the UK economy. Come and join a mission that matters!

The role is based in London (Hybrid) with 3 days in the office and offers a competitive salary plus benefits. You’ll make a real difference for our customers and your team from day one. We believe the fastest way to grow is by doing, so we give you the ownership to run with things and see real-time results. We are looking for a Data Scientist to join us as we continue to evolve and build our next generation of models at Funding Circle. You will play a key role in developing, implementing and monitoring these models and drive significant value for the business.

  • Model Development: Develop statistical and machine learning models for commercial lending products.
  • Optimization: Deliver value through the optimization of current models and drive innovation by constantly seeking alternative data sources.
  • Communication: Communicate and present effectively, turning complex analysis into clearly articulated insights.
  • Problem Solving: Proactively problem-solve, identifying and mitigating any risks, issues, or control weaknesses in your day-to-day work.
  • Experimentation: Actively experiment with various frameworks for model optimization.

What we’re looking for: We value deep expertise, but a growth mindset and good energy are what really make our team click. We’re a group that chooses to lift each other up and think smart every day. As part of the Decision Science team, you will create cutting edge statistical and machine learning models and collaborate with data engineers, analysts, and business stakeholders. As well as improving on our previous generation models, we are expanding our borrower products so you will have the opportunity to develop completely new models.

  • Hands-on exposure to Machine Learning and model building (via professional experience, internships, or extensive academic projects).
  • Strong working knowledge of Python and SQL, alongside a keen interest in learning to apply AI techniques to real-world data problems.
  • A recent graduate with a Bachelors, Masters or PhD in a quantitative field or STEM-related subject (Mathematics, Finance, Economics, Physics, Engineering, etc.).
  • Strong problem-solving abilities using logical reasoning and analytical methods.
  • Passionate about Funding Circle’s values and mission to support businesses.
  • Able to take ownership of redesigning departmental workflows, using AI to automate complex tasks and drive operational efficiency.
  • Competently able to identify high-impact AI use cases and implement advanced prompting techniques to solve multi-layered business challenges.

We’re building a place where everyone truly feels they belong. Even if your past experience doesn't align perfectly with every requirement, we'd still love to hear from you.

Why join us? We back you to build an incredible career and by joining us, you'll be part of one of The Sunday Times Best Companies to Work For 2026! As a flexible-first employer, we use a "best of both" approach. We’ll see you in our London office to collaborate – with barista coffee and subsidised Just Eat lunches on us!

  • Flexibility: We provide a benefit allowance you can tailor to your own life and family.
  • Health: This includes private medical and dental, health assessments, and access to a digital GP.
  • Wealth: We offer life assurance, share schemes, and financial coaching.
  • Development: You get a dedicated annual learning allowance to help you level up.
  • Lifestyle: We have electric car and cycle-to-work schemes, plus season ticket loans.

We also have award-winning parental leave policies. We're here to support you through the big life moments, from fertility treatments to new additions to the family. Ready to join a mission that matters? We’d love to chat!

Data Scientist in London employer: Funding Circle Ltd.

Funding Circle Ltd. is an exceptional employer that champions the growth of SMEs by providing innovative funding solutions. With a hybrid work model in vibrant London, employees enjoy a supportive work culture that fosters collaboration and professional development, alongside competitive salaries and comprehensive benefits. Join us to make a meaningful impact while building strong relationships with lenders and clients alike.

Funding Circle Ltd.

Contact Details:

Funding Circle Ltd. Recruitment Team

StudySmarter Expert Advice🤫

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

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Funding Circle Ltd.!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at Funding Circle Ltd..

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Funding Circle Ltd..

Apply Directly through Our Website

When you find a suitable opening like Data Scientist at Funding Circle Ltd., make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Scientist in London

Statistical Modelling
Machine Learning
Python
SQL
Data Analysis
Problem-Solving
Communication Skills

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Funding Circle Ltd., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Funding Circle Ltd.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Funding Circle Ltd.

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Funding Circle Ltd.!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.