Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Scientist

YouLend
London
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

About Us

YouLend is the preferred global embedded financing platform for many of the world’s leading e-commerce sites, tech companies and payment services providers such as Amazon, eBay, Shopify, Mollie, Dojo, Paysafe, Just Eat Takeaway and Takepayments. Our software platform and APIs enable our partners to offer flexible financing products, in their desired branding, to their merchant base. With YouLend's AI-driven credit risk assessment solutions, more merchants and SMEs than ever can receive fast, flexible and affordable funding. We operate in 9+ geographies across the UK, EU and the US.

We believe that the future of financial services will be delivered by customer-oriented tech companies that embed financing in their customer journeys, and we are building the solutions that will power that future.

The Role:

We are seeking a talented Data Scientist / 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.

Requirements

  • Data Analysis & Modeling:Analyze large, complex datasets to uncover patterns, insights, and trends that inform business decisions.
  • Predictive Analytics:Build and deploy machine learning models to forecast financial outcomes, detect fraud, optimize credit risk, and enhance customer personalization.
  • Algorithm Development:Develop and improve algorithms for financial services such as pricing or risk assessment.
  • Data Visualization:Create compelling visualizations and dashboards to communicate findings to stakeholders.
  • Collaboration:Work closely with product managers, engineers, and other cross-functional teams to integrate data-driven insights into our products and strategies.
  • Data Engineering Support:Partner with data engineering teams to ensure data pipelines are robust, scalable, and optimized for analysis.

Essential:

  • Minimum of 3+ years of experience as a Data Scientist, ideally within a FinTech or high-growth startup environment.
  • Proficient in Python, SQL, machine learning algorithms, and foundational MLOps techniques.

Benefits

Why join YouLend?

  • Award-Winning Workplace: YouLend has been recognised as one of the “Best Places to Work 2024” 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.

We offer comprehensive benefits package that includes:

  • Stock Options
  • Private Medical insurance via Vitality
  • 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 / Squash Club

Salary: £80,000 - 95,000 + 10% annual bonus based on performance

 

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.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.