Lead Data Scientist

Overview

We are looking for the first data scientist to own the data science strategy for non-lending products. You will partner with the managing directors to define what to build from a data science perspective and lead the delivery of the data science projects. The role involves expanding from the established high-frequency, low-latency automated systems for the Big Three: Unsecured Loans, Credit Cards, and Auto Finance, into non-lending products, starting with Car Insurance.

Responsibilities

• Own the data science roadmap to contribute to new product expansion.
• Build trust and influence a diverse range of leaders and stakeholders; gather requirements internally and externally to define success metrics for data science projects.
• Drive data science projects from strategic planning to tactical execution; clearly communicate results to stakeholders (verbal and written).
• Share ideas with the wider team, learn from and contribute to the body of knowledge.
• Mentor a team of data scientists and contribute to the broader analytics community.
• Collaborate with cross-functional teams and senior stakeholders to deliver impact on product initiatives.

Qualifications

• Successful track record of managing data science projects with cross-functional teams and senior stakeholders.
• Extensive knowledge of the financial services industry, including products, data, typical ML applications, and related regulations.
• Excellent technical skills in Python, SQL, and statistics.
• Hands-on experience across the model lifecycle from scoping and model development to deployment and monitoring.
• Nice to have: experience in insurance, telecom, or consulting within financial services.

What we offer

• Life at Lendable: opportunity to scale with one of the world’s leading fintechs; flexible working arrangements with hybrid or remote options.
• Health coverage for physical and mental wellbeing; retirement savings plans.
• Employee referral programme with a competitive bonus.
• Office meals and snacks on in-office days; a fully stocked kitchen at select locations.
• Sustainable commuting options, including cycle-to-work and salary sacrifice schemes in select locations.

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