At a Glance
- Tasks: Use data to enhance lending decisions and customer insights in a dynamic fintech environment.
- Company: Join a leading fintech lender based in London with a focus on innovation.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Ideal for those looking to shape data strategy in a growing fintech company.
- Why this job: Make a real impact by solving commercial problems with data alongside senior leadership.
- Qualifications: 3-5 years in Data Science, 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 Data Scientist – Fintech Lending | Hybrid London employer: Energy Jobline ZR
Join a dynamic fintech lender in London that prioritises innovation and employee growth, offering a collaborative work culture where your contributions directly impact business decisions. With opportunities to work closely with senior leadership and take ownership of high-impact projects, you'll thrive in an environment that values data-driven solutions and fosters professional development. Enjoy the benefits of a hybrid working model while tackling meaningful challenges in a data-rich setting.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist – Fintech Lending | Hybrid London
✨Network Like a Pro
Get out there and connect with people in the fintech space! Attend meetups, webinars, or industry events. You never know who might be looking for someone just like you, and personal connections can often lead to job opportunities.
✨Show Off Your Skills
Create a portfolio showcasing your data science projects, especially those related to lending or fintech. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do and how you approach real-world problems.
✨Ace the Interview
Prepare for interviews by brushing up on both technical skills and business acumen. Be ready to discuss how you've used data to solve commercial problems in the past. Remember, they want to see your thought process and how you can contribute to their goals!
✨Apply Through Us!
Don’t forget to apply through our website! We’re here to help you land that dream job. Plus, applying directly shows your enthusiasm and commitment to joining the team.
We think you need these skills to ace Senior Data Scientist – Fintech Lending | Hybrid 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 traditional 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 Stuff
Make sure you brush up on your data science techniques, especially in Python. Be ready to discuss how you've applied traditional methods and any AI tools you've used in past projects. This role is all about using data to solve real business problems, so be prepared to showcase your technical skills.
✨Understand the Fintech Landscape
Familiarise yourself with the fintech industry, particularly lending and credit risk. Knowing the key challenges and trends will help you demonstrate your commercial mindset and show that you're not just a techie but someone who understands the business side of things too.
✨Prepare for Leadership Interaction
Since you'll be working closely with senior leadership, practice articulating your ideas clearly and confidently. Think about how you can present complex data insights in a way that's easy for non-technical stakeholders to grasp. This will show that you can bridge the gap between data and decision-making.
✨Showcase Your Problem-Solving Skills
Be ready to discuss specific examples where you've taken ownership of a problem from start to finish. Highlight how you identified the issue, the data-driven solutions you implemented, and the impact it had on the business. This will demonstrate your ability to tackle high-impact challenges effectively.
