Senior Data Scientist at Lendable.co.uk

Job Title

Senior Data Scientist

Company Description

Lendable.co.uk – VC-backed fintech unicorn backed by Goldman Sachs

Job Description

Join a high-performing data science team at the core of a £3.5bn fintech leader. You will own the end-to-end development of proprietary machine learning models that power real-rate, risk-based pricing for US loans and credit cards. This role offers full autonomy to build, deploy, and monitor models using state-of-the-art ML techniques.

Location

London, UK

Why this role is remarkable

• Work at the heart of a profitable unicorn valued at £3.5bn, backed by premier investors like Goldman Sachs, Balderton, and Ontario Teachers’ Pension Plan.
• Benefit from a culture of full model ownership, moving beyond research to ship production-level ML models that directly drive the company’s core competitive advantage.
• Enjoy premium perks including equity, hybrid flexibility, and fresh gourmet lunches prepared by in-house chefs three days a week in a central London office.

What you will do

• Design, build, and deploy sophisticated credit risk and underwriting models for the US market using Python and experiment tracking tools like MLFlow.
• Extract, clean, and transform complex datasets from various sources, including global Credit Bureau data, to improve model accuracy and operational efficiency.
• Lead cross-functional initiatives and mentor junior data scientists, translating complex business challenges into actionable data science solutions for senior stakeholders.

The ideal candidate

• Proven experience building and shipping commercial machine learning models in production environments, ideally within credit, lending, or financial services.
• High proficiency in Python and the modern ML stack, with a strong grasp of the trade-offs between different machine learning architectures and algorithms.
• Excellent communication skills with the ability to lead projects independently and explain sophisticated technical concepts to non-technical business partners.

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