At a Glance
- Tasks: Use data to enhance lending decisions and customer insights in a dynamic fintech environment.
- Company: Join a leading fintech lender in London with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Exciting chance to tackle meaningful challenges in a data-rich setting.
- Why this job: Make a real impact by shaping data science strategies alongside senior leadership.
- Qualifications: 3-5 years in Data Science with strong Python skills and a commercial mindset.
The predicted salary is between 60000 - 80000 £ per year.
We’re working with a London-based fintech lender looking to hire a commercially minded Senior/Lead Data Scientist to help drive better lending decisioning, pricing, customer understanding and broader business performance. This is a strong opportunity for someone who enjoys solving real commercial problems with data and wants to work closely with senior leadership in a scaling fintech environment. The role sits closely with the CTO, CEO and Head of Operations, with real ownership across high-impact lending and operational challenges. The business has already built strong underlying data foundations and is now looking for someone who can take that further — using data science, analytics and AI where appropriate to improve how decisions are made across the business.
Responsibilities
- Using data to improve lending and commercial decision-making
- Supporting pricing analysis and helping the business better understand customer value and portfolio performance
- Building insight-led solutions around customer behaviour, performance and profitability
- Improving lending decisioning, approval logic and broader internal processes through data and automation
- Applying strong traditional data science techniques, with scope to use AI tools / workflows where useful
- Working closely with senior leadership on business-critical problems
- Taking ownership of problems from idea through to practical solution
Qualifications
- Around 3–5 years of commercial experience in Data Science / Decision Science / advanced analytics
- Strong Python skills
- Solid grounding in traditional data science, modelling and statistical thinking
- Experience working with modern data environments / warehouses
- Ability to work independently and operate as a genuine self-starter
- Strong communication skills and ability to work with senior stakeholders
- Commercial mindset — someone who enjoys solving business problems, not just technical ones
- Experience in fintech, lending, credit risk, underwriting, pricing, scorecards or broader financial services analytics would be highly beneficial
Ideal background
This role would likely suit someone in their second or third move who has already built strong hands-on experience in a commercial environment. The ideal person will be technically strong, pragmatic, and excited by the chance to shape how data is used in a growing fintech lender. Profiles from lending, credit risk, underwriting, pricing, portfolio analytics or decisioning environments are likely to be particularly relevant.
Why this role?
- Opportunity to work directly with senior leadership
- Chance to help shape the data science capability in a scaling business
- Real ownership and visibility
- Strong blend of commercial impact, technical challenge and autonomy
- Opportunity to work on meaningful problems in a data-rich fintech environment
If this sounds of interest, please apply or get in touch directly for a confidential conversation.
Senior/Lead Data Scientist - Fintech Lending in London employer: Energy Jobline ZR
Join a dynamic fintech lender in London that prioritises innovation and employee growth, offering a unique opportunity for a Senior/Lead Data Scientist to make a tangible impact on lending decisions and customer insights. With a strong emphasis on collaboration with senior leadership and a culture that values autonomy and problem-solving, this role provides the chance to shape the future of data science within a scaling business. Enjoy a hybrid work environment that fosters a balance between professional development and meaningful contributions to the financial services landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Senior/Lead Data Scientist - Fintech Lending in London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to lending or financial services. This will not only demonstrate your expertise but also your passion for solving real-world problems.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. You’ll need to explain complex data concepts to non-technical stakeholders, so practice making your insights clear and engaging. We want you to shine!
✨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, it shows you’re genuinely interested in joining the team and making an impact.
We think you need these skills to ace Senior/Lead Data Scientist - Fintech Lending in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role. Highlight your experience in data science, especially in fintech or lending, and showcase how you've solved real business problems with data. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how your skills align with our needs. Don’t forget to mention your commercial mindset and any relevant projects you've worked on.
Showcase Your Technical Skills:We’re looking for someone with strong Python skills and a solid grounding in data science techniques. Be sure to include specific examples of how you've applied these skills in previous roles, especially in decision-making and analytics.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Energy Jobline ZR
✨Know Your Data Science Fundamentals
Brush up on your traditional data science techniques and be ready to discuss how you've applied them in real-world scenarios. Be prepared to explain your thought process behind modelling and statistical thinking, as this role requires a solid grounding in these areas.
✨Showcase Your Commercial Mindset
This position is all about solving business problems with data. Think of examples where your data-driven decisions have led to tangible commercial outcomes. Highlight your experience in fintech or lending, and how you’ve used data to improve decision-making processes.
✨Prepare for Technical Questions
Expect to dive deep into your Python skills and any relevant AI tools you've used. Be ready to discuss specific projects where you've built insight-led solutions or improved operational processes through automation. Practical examples will help demonstrate your expertise.
✨Engage with Senior Leadership Scenarios
Since you'll be working closely with senior leadership, prepare to discuss how you would approach high-impact lending challenges. Think about how you can communicate complex data insights effectively to non-technical stakeholders, showcasing your strong communication skills.
