Lead Data Scientist (Non-Lending)

ABOUT LENDABLE Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: - One of the UK’s newest unicorns with a team of just over 700 people - Among the fastest-growing tech companies in the UK - Profitable since 2017 - Backed by top investors including Balderton Capital and Goldman Sachs - Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot https://uk.trustpilot.com/review/lendable.co.uk) So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. JOIN US IF YOU WANT TO 1. Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 2. Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo 3. Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting About the role 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. Join us if: - 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 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. 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 Key Skills - 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 Nice to have - Experience of working in insurance, telco or consulting in financial services industry The interview process - Recruiter call - Hiring Manager Interview - Technical Interview/ Case study - Final interviews