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- Tasks: Design and implement forecasting models for credit performance and risk dynamics.
- Company: Join an ambitious, high-growth organisation revolutionising private credit insights.
- Benefits: Competitive salary, strong benefits, equity participation, and hybrid working.
- Why this job: Work on research-led problems with real-world applications in fintech.
- Qualifications: MSc or PhD in a quantitative field and strong programming skills in Python.
- Other info: Collaborate with senior data scientists in a dynamic, innovative environment.
The predicted salary is between 40000 - 50000 £ per year.
Location: London (Hybrid)
Salary: £40,000 – £50,000 + Benefits (plus meaningful equity participation)
Start Date: ASAP
About the Opportunity:
We’re recruiting on behalf of an ambitious, high-growth organisation building an intelligence platform for private credit — turning large-scale, real-world financial behaviour into forward-looking insight for fintechs and investors. This is a research-driven role focused on developing forecasting, correlation, and simulation capabilities that sit at the core of the product roadmap. You’ll work closely with senior data scientists to take research-grade ideas and translate them into scalable, production-ready modelling foundations.
What You’ll Be Doing:
- Designing and implementing forecasting models for credit performance, risk dynamics, and portfolio behaviour
- Developing correlation frameworks across cohorts, products, geographies, and time
- Building simulation engines to model capital run-off, stress scenarios, and structural outcomes
- Exploring regime shifts, early-warning signals, and non-linear dynamics in real-world credit data
- Working from first principles to create scalable, reusable modelling foundations (not one-off analysis)
- Collaborating to bring models into production systems that support real decision-making
What We’re Looking For:
- MSc or PhD (completed or near-completion) in a quantitative discipline (e.g. Statistics, Mathematics, Computer Science, Physics, Econometrics, Operations Research)
- Strong grounding in forecasting and time-dependent modelling, such as:
- Time-series analysis
- Probabilistic / Bayesian modelling
- Stochastic processes
- Simulation methods
Hybrid working in London
Strong benefits package (details shared during process)
Meaningful equity participation
Opportunity to work on genuinely research-led problems with direct real-world application
How to Apply:
Please apply with your most up-to-date CV and I’ll be in touch ASAP to arrange an initial call and share further details.
Data Scientist in England employer: Intellect Group
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in England
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Intellect Group on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your forecasting models and simulation techniques. We want to see you confidently discuss your past projects and how they relate to the role.
✨Tip Number 3
Show off your coding skills! Be ready to demonstrate your Python prowess during technical interviews. We love seeing candidates who can translate complex data into actionable insights.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate candidates like you!
We think you need these skills to ace Data Scientist in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights the skills and experiences that align with the Data Scientist role. We want to see how your background in quantitative disciplines and programming fits into our vision.
Showcase Your Projects: Include any relevant projects or research you've done, especially those involving forecasting models or simulation methods. This gives us a glimpse of your hands-on experience and problem-solving skills.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity and directness, so avoid jargon unless it's necessary. Make it easy for us to see why you're a great fit!
Apply Through Our Website: We encourage you to apply directly through our website. It streamlines the process for both you and us, ensuring your application gets the attention it deserves!
How to prepare for a job interview at Intellect Group
✨Know Your Models
Make sure you can discuss your experience with forecasting models and time-series analysis in detail. Be prepared to explain how you've applied these techniques in past projects, especially if they relate to financial datasets.
✨Showcase Your Programming Skills
Brush up on your Python skills and be ready to demonstrate your coding ability. You might be asked to solve a problem on the spot, so practice coding challenges that involve data manipulation and modelling.
✨Understand the Company’s Vision
Research Intellect Group and their intelligence platform. Understand their goals and how your role as a Data Scientist fits into their mission. This will help you tailor your answers and show genuine interest in the company.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving skills with ambiguous data. Think of examples where you've tackled complex issues or worked with incomplete datasets, and be ready to discuss your thought process.
