Data Scientist

Location:London (Hybrid – 2-3 days/week onsite)

Contract Length:6 months initially (with high likelihood of extension)

Type:Contract

Day Rate:Competitive – Dependent on Experience

Start Date:ASAP / July start preferred

We are representing aconfidential FinTech start-upbased in London that has seendouble-digit growth over the past 5 years. Founded by former investment banking and tech leaders, the company specialises inautomated credit decisioning, embedded finance, and next-gen lending platforms.

As part of this expansion, they’re looking for an experiencedData Scientistto join their fast-paced, agile environment on a6-month hybrid contract.

Key Responsibilities:

• Design and deploy machine learning models for risk scoring, customer segmentation, and product optimisation
• Analyse large financial datasets to uncover trends and support product and credit teams
• Develop custom statistical models for portfolio analysis and performance forecasting
• Collaborate cross-functionally with engineering, product, and analytics teams
• Contribute to scalable data pipeline and feature store development

Requirements:

• 3+ years of experienceas a Data Scientist in a commercial setting
• Strong skills inPython, SQL, and machine learning libraries (e.g., scikit-learn, XGBoost, etc.)
• Familiarity with cloud platforms (e.g., AWS, GCP) and version control (e.g., Git)
• Experience working with financial or transactional data is a plus
• Bachelor’s or Master’s degreein Data Science, Statistics, Computer Science, Mathematics, or a related field
• Prior experience in a start-up or scale-up preferred