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For Companies At a Glance
- Tasks: Own the entire model lifecycle, from data collection to deployment in a fast-paced FinTech.
- Company: Join a rapidly growing leader in digital lending with a focus on innovation.
- Benefits: Competitive salary up to £65,000 and opportunities for professional growth.
- Why this job: Make a real impact in the FinTech space while developing cutting-edge predictive models.
- Qualifications: 1+ years in ML modelling, strong STEM background, and a passion for data-driven solutions.
- Other info: Dynamic team environment with opportunities for international expansion.
The predicted salary is between 39000 - 65000 £ per year.
Join a fast-growing, data-driven FinTech expanding rapidly in the US- they operate across personal loans, credit cards, and auto finance, and are widely regarded as a leader in digital lending.
THE ROLE
You will join a compact US-focused Data Science team, taking full ownership of the end-to-end model lifecycle. This isn’t a traditional "build and hand off" role; you will manage everything from data collection to feature engineering, model development, testing, and deployment.
Key Responsibilities:
- Develop credit risk predictive models, including scorecards, income models, and early repayment models.
- Build automation for lending decisions and support acquisition and verification models for credit cards.
- Create forecasting and marketing models to support customer segmentation and growth strategies.
- Own the full modelling process, from raw data through deployment, without separate engineering teams.
- Collaborate with cross-functional teams to ensure models are robust, actionable, and scalable.
- Continuously improve modelling approaches as volumes and portfolios expand.
REQUIREMENTS
- 1+ years’ experience in ML modelling, ideally with customer prediction models (forecasting, segmentation, pricing).
- Open to candidates from any sector, though financial services, insurance, or gambling is a plus.
- Strong academics - STEM degree from a top university; PhD candidates considered.
- Highly independent, able to own and deliver projects end-to-end.
- Smart, adaptable, and excited to work in a fast-paced, international expansion environment.
HOW TO APPLY
Please apply below or send CV.
Data Scientist- Fintech employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist- Fintech
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to credit risk or predictive modelling. This will give you an edge and make you memorable.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s products. Be ready to discuss how you can contribute to their model lifecycle and growth strategies.
✨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, we love seeing candidates who are proactive!
We think you need these skills to ace Data Scientist- Fintech
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Scientist role. Highlight any relevant projects or achievements in ML modelling, especially those related to customer prediction models.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this role in FinTech. Share your passion for data science and how you can contribute to our team’s success in developing innovative credit risk models.
Showcase Your Independence: Since we’re looking for someone who can own projects end-to-end, make sure to mention instances where you've taken initiative and delivered results independently. This will show us you’re a great fit for our fast-paced 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 don’t miss out on any important updates during the process.
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Models Inside Out
Make sure you can discuss your experience with machine learning models in detail. Be prepared to explain the end-to-end process you've followed, from data collection to deployment. This role requires ownership of the entire modelling lifecycle, so showcasing your understanding will impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in your previous roles. Think about specific challenges you've faced in model development or data analysis and how you overcame them. This will demonstrate your adaptability and independence, which are key traits for this position.
✨Understand the FinTech Landscape
Brush up on the latest trends in the FinTech industry, especially around credit risk and digital lending. Being able to discuss how your skills can contribute to their growth strategies will show that you're not just a fit for the role, but also genuinely interested in the company's mission.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their data science processes, team dynamics, and future projects. This shows that you're engaged and serious about the opportunity, plus it gives you a chance to assess if the company is the right fit for you.
