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For Companies 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.
- 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.
- Other info: Dynamic environment with significant career growth opportunities and a focus on innovation.
The predicted salary is between 43200 - 72000 ÂŁ 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
Contact Detail:
YouLend Recruiting Team
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 other platforms. A friendly chat can give you insider info and might just get your application noticed.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your data science projects, especially those related to financial analysis or machine learning. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your technical skills and be ready to tackle coding challenges or case studies during the interview process. We want to see how you think and solve problems.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it shows 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 for us. We want to see how your skills align with our needs!
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 you can contribute to YouLend's mission. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links to your GitHub or any dashboards you've created. We’re keen to see your practical experience and how you’ve applied your skills in real-world scenarios.
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 you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at YouLend
✨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 examples of how you've uncovered insights in the past. This will show that you can hit the ground running.
✨Master Machine Learning Techniques
Familiarise yourself with the latest machine learning algorithms and MLOps techniques. Be prepared to explain how you've built and deployed models in previous roles, especially those related to forecasting or risk assessment. This will demonstrate your technical prowess and relevance to the role.
✨Communicate Like a Pro
You’ll need to convey complex findings to both technical and non-technical stakeholders. Practice explaining your past projects in simple terms, focusing on the impact of your work. This will highlight your ability to bridge the gap between data science and business needs.
✨Show Your Team Spirit
YouLend values collaboration across teams. Be ready to discuss how you've worked with product managers, engineers, and other departments to integrate data-driven insights into products. Highlighting your teamwork skills will resonate well with their culture.
