Senior Data Scientist

Senior Data Scientist

Full-Time 43200 - 72000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop and implement cutting-edge statistical and machine learning models for commercial lending.
  • Company: Join Funding Circle, a leader in SME finance with a mission to support businesses.
  • Benefits: Enjoy hybrid working, competitive salary, health benefits, and a tailored benefits package.
  • Why this job: Make a real impact on small businesses while mentoring and leading innovative projects.
  • Qualifications: Advanced degree in a quantitative field and expertise in Python and SQL required.
  • Other info: Diverse and inclusive workplace with excellent career growth opportunities.

The predicted salary is between 43200 - 72000 ÂŁ per year.

We are looking for a Senior (Lead) 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. 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. You will also be expanding our borrower products, giving you the opportunity to develop completely new models.

The role:

  • Develop statistical and machine learning models for commercial lending products
  • Have a clear and relentless focus on delivering business results and be comfortable challenging the status‑quo
  • Provide technical mentorship and guidance to junior team members during the model development lifecycle
  • Mentor the team on best practices for risk mitigation
  • Oversee the experimentation framework for model optimisations
  • Conduct peer reviews of code and methodologies to ensure high‑quality, scalable outputs
  • Proactively problem‑solve, identifying and confidently mitigating any risks, issues or control weaknesses that arise in day‑to‑day work

What we’re looking for:

  • Passionate about Funding Circle’s values and mission to support businesses
  • Advanced education: Bachelors, Masters or PhD in a quantitative field or STEM subject (Mathematics, Finance, Economics, Physics, Engineering…)
  • Proven expertise in problem‑solving using logical reasoning and analytical methods and previous experience in machine learning and model building
  • Expert‑level knowledge of Python and SQL

At Funding Circle we are committed to building diverse teams so please apply even if your past experience doesn’t align perfectly with the requirements.

We’re still evolving! Our award‑winning multi‑product platform is solving more SME finance challenges than ever before. We think big, rally together and meet the needs of SME customers like no other.

Why join us?

At Funding Circle, we celebrate and support the differences that make you, you. We’re proud to be an equal‑opportunity workplace and affirmative‑action employer. We truly believe that diversity makes us better. As a flexible‑first employer we offer hybrid working, and we expect our teams to be in our London office three times a week, where you can take advantage of our newly refurbished hybrid working space, barista‑made coffee and subsidised lunches every day.

We back our Circlers to build their own incredible career, making a difference to small businesses every day. Our Circler proposition is designed to support employees both in and out of work, and it is anchored around four pillars: Health, Wealth, Development & Lifestyle.

  • Flexibility: We provide you with a benefit allowance so that you can tailor your benefit selection to your and your family’s needs.
  • Health: Private medical insurance, dental insurance, health cash plan, health assessments (including female fertility health assessments), eye‑care vouchers, flu jabs, Wellhub (for discounted flexible gym membership and access to wellbeing apps), access to a free Employee Assistance Programme and free Digital GP for yourself and any children under 16.
  • Wealth: Life assurance, income protection, critical illness cover, financial coaching through Octopus Money Coach, a tax‑advantaged share scheme, a free mortgage advisor partnership and discounts across numerous retailers through Perks at Work.
  • Development: Dedicated annual learning & development allowance and full access to internal learning platform.
  • Lifestyle: Electric car scheme, cycle‑to‑work scheme, season ticket loans, and more!

And finally, we have award‑winning parental leave policies supporting parents through enhanced maternity, partner and adoption leave, as well as additional leave for parental bereavement and for fertility treatments.

Ready to make a difference? We’d love to hear from you.

Senior Data Scientist employer: Funding Circle Ltd.

At Funding Circle, we pride ourselves on being an exceptional employer that champions diversity and innovation. Our London office offers a vibrant work culture with hybrid working options, allowing you to enjoy a newly refurbished space while collaborating with talented colleagues. With a strong focus on employee growth, we provide tailored benefits, comprehensive health support, and dedicated learning opportunities, ensuring that you can thrive both personally and professionally while making a meaningful impact on small businesses.
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Contact Detail:

Funding Circle Ltd. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Scientist

✨Tip Number 1

Network like a pro! Reach out to current employees at Funding Circle on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your application noticed.

✨Tip Number 2

Prepare for the interview by brushing up on your Python and SQL skills. Be ready to showcase your problem-solving abilities with real-world examples, especially in machine learning and model building.

✨Tip Number 3

Show your passion for Funding Circle’s mission! During interviews, share how your values align with theirs and how you can contribute to supporting small businesses through innovative data solutions.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it shows you’re serious about joining the team!

We think you need these skills to ace Senior Data Scientist

Statistical Modelling
Machine Learning
Python
SQL
Analytical Skills
Problem-Solving Skills
Mentorship
Risk Mitigation
Experimentation Framework
Peer Review
Collaboration
Business Acumen
Model Optimisation
Logical Reasoning

Some tips for your application 🫡

Show Your Passion: When you write your application, let your passion for Funding Circle's mission shine through. We want to see how excited you are about supporting businesses and making a real impact in the community.

Tailor Your CV: Make sure your CV is tailored to highlight your experience in developing statistical and machine learning models. We love seeing how your skills align with our needs, so don’t hold back on showcasing your expertise!

Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so make sure to articulate your achievements and experiences without unnecessary fluff.

Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!

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

✨Know Your Models Inside Out

As a Senior Data Scientist, you'll be expected to discuss your experience with statistical and machine learning models. Brush up on the models you've developed, their applications, and the results they delivered. Be ready to explain your thought process and how you tackled challenges during development.

✨Showcase Your Problem-Solving Skills

Funding Circle values logical reasoning and analytical methods. Prepare examples of complex problems you've solved in previous roles, particularly those involving data analysis or model optimisation. Highlight how your solutions drove business results and improved processes.

✨Demonstrate Technical Expertise

Make sure you're comfortable discussing Python and SQL, as these are crucial for the role. Be prepared to answer technical questions or even solve coding challenges during the interview. Practising common algorithms or data manipulation tasks can give you an edge.

✨Emphasise Collaboration and Mentorship

This role involves working closely with data engineers and mentoring junior team members. Share experiences where you've collaborated effectively or provided guidance to others. Show that you value teamwork and are committed to fostering a supportive environment.

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