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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in analyzing complex datasets and building machine learning models to drive business decisions in the fintech sector. Proficient in Python and SQL, with a strong focus on MLOps and predictive modeling.
Highest-signal resume keywords
Data AnalysisMachine Learning Model DevelopmentPython ProficiencySQL ProficiencyMLOps Best Practices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ManipulationPredictive ModelingAlgorithm DevelopmentData VisualizationStatistical AnalysisRisk AssessmentFraud DetectionCustomer PersonalizationProbability-of-Default ModelingRevenue-Forecasting Modeling
Soft Skills
CollaborationCommunicationProblem-SolvingInsight Translation
Industry Keywords
FintechFinancial ServicesData ScienceMLOpsEmbedded FinanceTransactional Datasets
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- 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
- Collaborate with risk managers, engineers, and commercial teams to integrate data-driven insights into products and strategies
- Partner with the data and ML engineering team to ensure data pipelines are robust, scalable, and optimised for analysis and inference
- Contribute to best practices in MLOps and model lifecycle management
- Develop and enhance Probability-of-Default and Revenue-Forecasting models
- Uncover insights that drive smarter decisions and support embedded finance
- Support global businesses from the London headquarters
Requirements
What you’ll need- Proven experience as a data scientist within a fintech
- Strong proficiency in Python and SQL for data manipulation, analysis, and model development
- Hands-on experience with a wide range of machine learning algorithms and foundational MLOps practices
- Ability to design and build predictive models that solve real business problems
- Skilled at translating complex data into clear, actionable insights for technical and non-technical audiences
- Experience working with financial or transactional datasets is a plus
Benefits
Comp & perks- Award-Winning Workplace: YouLend has been recognised as one of the “Best Places to Work in 2024, 2025 and 2026” 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.
- Clear outlook to compensation through bonus or share option appreciation and career growth.
- Supportive private equity backing.
- Private Medical Insurance (via Vitality)
- EAP with Health Assured
- Enhanced Maternity and Paternity Leave
- Great office space, including a gym, in Central London
- Subsidised lunch (via Feedr)
- Deliveroo allowance if working late in the office
- Monthly in-office masseuse
- Team and Company socials
- Sports clubs
- Supportive, diverse, and rewarding workplace
- Independent work environment where results matter
- Data-driven culture and emphasis on speed