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- Tasks: Drive data science to reshape lending with innovative models and insights.
- Company: GOCAP, a forward-thinking lender transforming 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: Join a dynamic team and make a real impact in fintech with your data skills.
- Qualifications: Experience in data science, advanced Python and SQL skills required.
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.
Remote Machine Learning Data Scientist employer: GOCAP
Contact Detail:
GOCAP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Machine Learning Data Scientist
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech and lending space on LinkedIn. We can leverage our connections to get insights about GOCAP and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio of your best machine learning projects, especially those related to credit risk or data-driven insights. We want to demonstrate how we can turn data into actionable strategies.
✨Tip Number 3
Ace the interview by being ready to discuss real-world applications of your work. We should be prepared to explain how our models have improved decision-making in past roles, especially in lending or banking.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our submission to highlight how our skills align perfectly with GOCAP's mission.
We think you need these skills to ace Remote Machine Learning Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of a Machine Learning Data Scientist. Highlight your experience in lending, fintech, and any relevant projects that showcase your advanced Python and SQL skills.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're the perfect fit for GOCAP. Share specific examples of how you've used data science to drive decision-making and improve performance in previous roles.
Showcase Your Projects: If you've built any Machine Learning models or worked on data-driven insights, make sure to include them in your application. We love seeing real-world applications of your skills!
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 it gets into the right hands quickly!
How to prepare for a job interview at GOCAP
✨Know Your Data Science Fundamentals
Brush up on your machine learning concepts, especially those related to credit risk and pricing. Be ready to discuss your experience with Python and SQL, as well as any specific models you've built that relate to the job description.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled data challenges in the past. Think about times when you had to produce insights from imperfect data and how you iterated on your models based on new information.
✨Understand GOCAP's Vision
Familiarise yourself with GOCAP's approach to lending and their unique credit proposition. This will help you align your answers with their goals and demonstrate your genuine interest in contributing to their mission.
✨Communicate Clearly and Confidently
Practice explaining complex data science concepts in simple terms. Since the role involves working closely with risk, product, and engineering teams, being able to communicate your findings effectively is crucial.