Senior Data Scientist at Lendable.co.uk

New Yesterday

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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Location:
Greater London
Job Type:
FullTime

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