lendable - Lead Data Scientist (Non-Lending)
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Requirements
• Successful track record of managing data science projects, with cross-functional teams and senior stakeholders • Confident and effective communication both internally and externally • Extensive knowledge of the financial services industry, including the products, data, typical ML applications, and related regulations • Hands-on experience across the model lifecycle from scoping and model development to deployment and monitoring • Experience of working in insurance, telco or consulting in financial services industry • The interview process • We’re not corporate so we try our best to get things moving as quickly as possible. • For this role we’d expect: • Recruiter call • Cognitive Assessment • Hiring Manager Interview • Technical Interview/ Case study • Final interviews with Head of Data Science and Chief Risk Officer • LIFE AT LENDABLE
Responsibilities
• What you’ll be working on • 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 the success of the data science projects • Drive exciting data science projects from both strategic level and tactical level. • Clearly communicate results to stakeholders through verbal and written communication. • Share ideas with the wider team, learn from and contribute to the body of knowledge. • Be a great mentor to a team of talented data scientists and the broader analytics community
Benefits
• What is your notice period? • Yes but I may require flexibility • Yes - Lendable loan • Yes - Zable credit card • Yes - Autolend loan • Recruiting Privacy Policy • Lendable may use Artificial Intelligence with this application. Learn more.
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