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- Tasks: Drive data science initiatives to reshape lending through innovative models and insights.
- Company: GOCAP, a forward-thinking lender revolutionising the credit market.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and innovation.
- Why this job: Make a real impact in fintech by leveraging data to improve decision-making.
- Qualifications: Experience in data science, advanced Python and SQL skills, and a relevant degree.
The predicted salary is between 50000 - 70000 £ per year.
GOCAP is building a better kind of lender. It is a differentiated product, a genuinely interesting credit proposition, and we believe it has the potential to reshape part of the market. As we grow, data science will sit at the heart of how we underwrite, price, monitor risk and improve performance. We are looking for a sharp, hands-on Data Scientist to help drive that forward. You will be expected to deliver quickly, iterate based on evidence, and continuously improve decisioning as new data becomes available.
- Build and improve models across credit risk, pricing and portfolio performance
- Support underwriting strategy with data-driven insights and segmentation
- Work with bureau, open banking and manage internal data pipelines
- Produce clear, decision-ready insights from imperfect data
- Support and refine credit strategy through analysis and segmentation
- Build monitoring and reporting that tracks real performance
- Help strengthen model governance, validation and documentation
- Work closely with risk, product and engineering to turn analysis into action
Experience in lending, fintech, banking or credit risk:
- Advanced Python and SQL skills
- Commercial judgement and clear communication
- Familiarity with credit decisioning using bureau and open banking data
- Experience in building Machine Learning models which convert into decision-ready outputs
- Bachelor’s or Master’s degree in Data Science, Statistics or a related field.
Data Scientist, Python, Machine Learning, Remote employer: GOCAP
Contact Detail:
GOCAP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, Python, Machine Learning, Remote
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech and data science space on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and machine learning projects. Use GitHub to share your code and document your thought process. This gives potential employers a taste of what you can do and how you tackle real-world problems.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with credit risk and data analysis. Practice common data science interview questions and think about how you can relate your past work to the role at GOCAP.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Tailor your CV and cover letter to highlight your relevant experience in lending and data science. Let’s get you in front of the right people!
We think you need these skills to ace Data Scientist, Python, Machine Learning, Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, SQL, and any machine learning projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to GOCAP's mission. Be sure to mention any relevant experience in lending or fintech.
Showcase Your Projects: If you've built any models or worked on data-driven projects, don’t forget to showcase them! Include links to your GitHub or any relevant portfolios. We love seeing practical applications of your skills.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get the best chance to show us what you've got!
How to prepare for a job interview at GOCAP
✨Know Your Data Science Fundamentals
Brush up on your data science basics, especially around machine learning and statistical analysis. Be ready to discuss how you've applied Python and SQL in real-world scenarios, as this will show your hands-on experience and understanding of the tools.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific projects where you’ve built models for credit risk or pricing. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how your insights led to tangible improvements.
✨Understand GOCAP's Business Model
Familiarise yourself with GOCAP’s approach to lending and how data science plays a role in their strategy. This will help you tailor your responses and demonstrate your genuine interest in the company and its mission.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of model governance and validation. Be ready to explain your thought process when dealing with imperfect data and how you ensure your models are decision-ready.