Data Scientist

Overview

In this Data Scientist role at Lendable, you will develop and refine credit risk models for underwriting loans and credit cards, with a focus on the US unsecured portfolio. You’ll work within a small, high-caliber team to translate business problems into data questions, build innovative models, and run end-to-end experiments. Your work directly informs pricing, risk management, and product strategy in a fast-growing fintech environment. This is a chance to apply advanced ML techniques to real-world lending at scale and shape our market-leading risk framework.

Pay / Benefits

• flexible working (hybrid)
• private health cover
• retirement savings plans
• employee referral programme
• office meals & snacks
• sustainable commuting schemes

Responsibilities

• Develop and evaluate credit risk models for underwriting and pricing
• Build proprietary behavioural models using diverse data sources
• Translate business problems into data questions and analyses
• Design and manage experiments to drive product and risk improvements
• Self-serve deployment and monitoring without a separate ML engineering team
• Communicate results clearly to stakeholders and contribute to the knowledge base
• Collaborate with cross-functional teams to inform strategy and execution

Key requirements

• Experience using Python and SQL
• Strong data manipulation with NumPy and Pandas
• Knowledge of machine learning techniques and their trade-offs
• Confident communicator and effective team contributor
• Self-driven with ability to lead on projects and initiatives

• communication
• collaboration
• self-motivation
• Python
• SQL
• NumPy

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