At a Glance
- Tasks: Analyse complex datasets and build machine learning models to drive business insights.
- Company: YouLend, a rapidly growing FinTech with a supportive and diverse culture.
- Benefits: Stock options, private medical insurance, gym access, and flexible working arrangements.
- Other info: Dynamic environment with significant career growth opportunities and a focus on innovation.
- Why this job: Join an award-winning team and make a real impact in the FinTech space.
- Qualifications: 4+ years as a Data Scientist, expertise in Python and SQL, strong communication skills.
The predicted salary is between 43200 - 72000 € per year.
About Us
YouLend is a rapidly growing FinTech that is the preferred embedded financing platform for many of the world’s leading e-commerce platforms, tech companies, and Payment Service Providers. Our software platform enables our partners to extend their value proposition by offering flexible financing products in their own branding, to their merchant base, without capital at risk. We are owned by the leading Private Equity company, EQT, and have grown +100% year-on-year since 2020. We are headquartered in London, UK, but are also present in several European countries as well as the United States where we service our partners, including eBay, Amazon, Just Eat, Shopify, and Stripe.
The Role
We are seeking a talented Senior Data Scientist to develop and enhance Probability-of-Default and Revenue-Forecasting models, leveraging advanced data analysis and machine learning techniques to drive impactful business insights.
Responsibilities:
- Analyse large, complex datasets to uncover patterns, insights and trends that inform business decisions.
- Build and deploy machine learning models to forecast financial outcomes, detect fraud, optimise credit risk, and enhance customer personalisation.
- Develop and improve algorithms for financial services such as pricing or risk assessment.
- Create compelling visualisations and dashboards to communicate findings to stakeholders.
- Work closely with product managers, engineers and other teams (such as commercial) to integrate data-driven insights into our products and strategies.
- Partner with data engineering teams to ensure data pipelines are robust, scalable, and optimised for analysis.
The ideal candidate will have the following skillset:
- 4+ years of experience as a Data Scientist, ideally within a FinTech or high-growth startup environment.
- Expertise in Python and SQL.
- Ability to communicate effectively to technical and non-technical stakeholders.
- Proficient in machine learning algorithms and foundational MLOps techniques.
- Experienced with analysing a range of data, but financial/transactional data would be considered a plus.
Why join YouLend?
- Award-Winning Workplace: YouLend has been recognised as one of the “Best Places to Work in 2024 and 2025” by the Sunday Times for being a supportive, diverse, and rewarding workplace.
- Award-Winning Fintech: YouLend has been recognised as a “Top 250 Fintech Worldwide” company by CNBC.
- It’s just getting fun: We have developed powerful solutions, won some significant partnerships, and are growing at a rapid pace. But the global opportunity is still massive, and YouLend is a raw organisation where we are only just getting started.
- Lots of upsides: High-growth (>100% growth during 2022 and 2023), so clear outlook to compensation (bonus or share option appreciation) and career growth (through growth with business). Well-capitalised with supportive private equity backing. Part of Banking Circle Group with a fully licensed Luxembourg bank, which can provide a balance sheet and support European expansion in otherwise complex regulated markets.
- Motivating work environment: A high-quality team that pushes each other to succeed through direct feedback and aligned incentives. Strong and transparent team culture, we have each other’s backs. Independent work environment where results matter. Data-driven culture and emphasis on speed (anti-red tape).
We offer a comprehensive benefits package that includes:
- Stock Options
- Private Medical insurance via Vitality and Dental Insurance with BUPA
- EAP with Health Assured
- Enhanced Maternity and Paternity Leave
- Modern and sophisticated office space in Central London
- Free Gym in office building in Holborn
- Subsidised Lunch via Feedr
- Deliveroo Allowance if working late in office
- Monthly in office Masseuse
- Team and Company Socials
- Football Power League / Paddle and Yoga Club
At YouLend, we champion diversity and embrace equal opportunity employment practices. Our hiring, transfer, and promotion decisions are exclusively based on qualifications, merit, and business requirements, free from any discrimination based on race, gender, age, disability, religion, nationality, or any other protected basis under applicable law.
Senior Data Scientist employer: YouLend Limited
YouLend is an award-winning FinTech company that offers a dynamic and supportive work environment in the heart of London. With a strong focus on employee growth, we provide ample opportunities for career advancement alongside competitive compensation packages, including stock options and comprehensive benefits. Our culture promotes collaboration, transparency, and innovation, making it an exciting place for talented individuals to thrive and contribute to our rapid growth in the embedded financing space.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees at YouLend on LinkedIn or through mutual connections. A friendly chat can give us insights into the company culture and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your machine learning algorithms and data analysis skills. We want to showcase our expertise, so practice explaining complex concepts in simple terms for both technical and non-technical folks.
✨Tip Number 3
Showcase your projects! Bring along examples of your previous work, especially those that relate to financial data or predictive modelling. Visuals can help us communicate our findings effectively during the interview.
✨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 us you’re genuinely interested in joining the YouLend team.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with Python, SQL, and machine learning algorithms, as these are key skills we're looking for. Don’t forget to mention any relevant FinTech experience!
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 your skills can help YouLend grow. Be sure to connect your past experiences to the responsibilities listed in the job description.
Showcase Your Projects:If you've worked on any interesting projects or models, make sure to include them in your application. We love seeing real-world applications of your skills, especially if they relate to financial data analysis or machine learning.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're genuinely interested in joining our team at YouLend!
How to prepare for a job interview at YouLend Limited
✨Know Your Data Inside Out
As a Senior Data Scientist, you'll be expected to analyse complex datasets. Brush up on your experience with financial and transactional data, and be ready to discuss specific projects where you've uncovered insights that drove business decisions.
✨Showcase Your Machine Learning Skills
Prepare to talk about the machine learning models you've built and deployed. Be specific about the algorithms you used, the challenges you faced, and how your work impacted the business. This is your chance to shine!
✨Communicate Like a Pro
You’ll need to explain technical concepts to non-technical stakeholders. Practice simplifying your explanations and using visualisations to communicate your findings effectively. Think of examples where your communication made a difference.
✨Collaborate and Integrate
YouLend values teamwork, so be ready to discuss how you've worked with product managers, engineers, and other teams in the past. Highlight any experiences where your data-driven insights led to successful product integrations or strategies.
