Lead Data Scientist, Lendable

• You enjoy working with cross functional fast moving teams
• You are able to think strategically about commercial products and how decisions using data can unlock more value for our customers
• You enjoy being the thought partner to the managing directors who are in charge of launching and growing the new products
• You are excited about getting your hands dirty and getting the work done
• 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
• Excellent technical skills in Python, SQL, and statistics
• Hands-on experience across the model lifecycle from scoping and model development to deployment and monitoring

Desirable

• 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
• So far, we have successfully re-engineered our 'Big Three' of UK consumer finance: Unsecured Loans, Credit Cards, and Auto Finance into high frequency, low latency automated systems
• Now, we are diversifying our ecosystem. Car Insurance is our first venture into non-lending products, presenting a sophisticated new domain for our data strategy
• You will directly report to the Head of Data Science (Catherine Chen) who is managing the data science team. You will start as an IC and potentially have people management responsibilities in the future
• 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

• Recruiter call
• Cognitive Assessment
• Hiring Manager Interview
• Technical Interview/ Case study
• Final interviews with Head of Data Science and Chief Risk Officer