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- Tasks: Lead the development of innovative credit decisioning models for SME lending.
- Company: Join Lovey, a fast-growing fintech with a focus on innovation and customer impact.
- Benefits: Competitive salary up to £95,000, hybrid work, and a supportive culture.
- Other info: Be part of a dynamic environment with opportunities for growth and innovation.
- Why this job: Shape the future of lending while working with cutting-edge technology and talented teams.
- Qualifications: Strong machine learning experience in lending, proficiency in Python & SQL.
The predicted salary is between 95000 - 95000 £ per year.
Lovey is a fast-growing fintech helping UK businesses access the funding they need to grow. Since 2016, we have supported thousands of companies through smarter, faster, and more transparent lending. We are proud to be a Top 15 fastest-growing finance company, a Great Place to Work, and to hold a 4.9 Trustpilot rating, driven by our focus on innovation, trust, and real customer impact.
The Role
We are looking for a Senior Decision Scientist to lead the development of cutting-edge credit decisioning models across SME lending. You will own the end-to-end model lifecycle, from problem framing through to deployment and monitoring, while working at the intersection of data, risk, and product to shape the future of our lending strategy.
What You Will Do
- Build and deploy ML and statistical models for credit risk, affordability, and pricing
- Own the full model lifecycle (data, features, modelling, validation, deployment, monitoring)
- Develop monitoring frameworks and performance dashboards
- Drive innovation through new data sources, challenger models, and experimentation (A/B testing)
- Translate complex models into clear, actionable business insights
What We Are Looking For
- Strong experience in machine learning within lending (SME essential)
- Proficiency in Python & SQL
- Proven end-to-end model development experience
- Background in fintech and automated decisioning environments
- Solid understanding of UK credit risk & regulation
- Ability to communicate effectively with both technical and business stakeholders
Bonus Points
- Consumer lending experience
- Experience with model governance & monitoring frameworks
- Strong commercial mindset and ownership attitude
Why Join Lovey?
- Be part of a high-growth fintech shaping the future of SME lending
- Work on high-impact models used in real underwriting decisions
- Collaborate with a talented, cross-functional team
- Join a company that truly values innovation, trust, and people
Senior Decision Scientist in Birmingham employer: Lovey
Contact Detail:
Lovey Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Decision Scientist in Birmingham
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those at Lovey. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your machine learning projects. This is your chance to shine and demonstrate your expertise in credit risk and model development.
✨Tip Number 3
Practice your pitch! Be ready to explain complex models in simple terms. You’ll need to communicate effectively with both techies and business folks, so make sure you can bridge that gap.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team at Lovey.
We think you need these skills to ace Senior Decision Scientist in Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Decision Scientist role. Highlight your experience in machine learning, especially within lending, and showcase your proficiency in Python and SQL. 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 fintech and how your background makes you a perfect fit for Lovey. Don’t forget to mention any innovative projects you've worked on that relate to credit risk or decisioning models.
Showcase Your Model Development Experience: In your application, be sure to detail your end-to-end model development experience. We love seeing how you've owned the full model lifecycle, from data gathering to deployment and monitoring. This will really help us understand your expertise!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to review your application directly. Plus, it shows us you’re keen on joining our team at Lovey!
How to prepare for a job interview at Lovey
✨Know Your Models Inside Out
As a Senior Decision Scientist, you'll need to demonstrate your expertise in machine learning and credit risk models. Be prepared to discuss specific models you've developed, the challenges you faced, and how you overcame them. This shows your depth of knowledge and problem-solving skills.
✨Brush Up on Fintech Trends
Stay updated on the latest trends in fintech, especially around SME lending and credit decisioning. Being able to discuss recent innovations or regulatory changes will show that you're not just knowledgeable but also passionate about the industry.
✨Prepare for Technical Questions
Expect technical questions related to Python, SQL, and model development. Practise explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and business stakeholders. This will highlight your ability to bridge the gap between data and business insights.
✨Showcase Your Collaborative Spirit
Lovey values teamwork, so be ready to share examples of how you've worked with cross-functional teams in the past. Highlight your experience in driving innovation through collaboration, as this aligns with their focus on shaping the future of lending together.