Data Scientist
- One of the UK's newest unicorns with a team of just over 600 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)
- 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
- Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo
- Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting
- The data science team develops proprietary behavioural models combining state of the art techniques with a variety of data sources that inform market-facing underwriting and pricing decisions, scorecard development, and risk management.
- Data scientists work across the business in a multidisciplinary capacity to identify issues, translate business problems into data questions, analyse and propose solutions.
- We self-serve with all deployment and monitoring, without a separate machine learning engineering team.
- Design, implement, manage and evaluate experiments of products and services leading to constant innovation and improvement.
- Learn the domain of products that Lendable serves, understanding the data that informs strategy and risk modelling is essential to being able to successfully contribute value.
- Rigorously search for the best models that enhance underwriting quality.
- 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.
- Key Skills
- Experience using Python and SQL.
- Strong proficiency with data manipulation including packages like NumPy, Pandas.
- Knowledge of machine learning techniques and their respective pros and cons.
- Confident communicator and contributes effectively within a team environment.
- Self driven and willing to lead on projects / new initiatives.
- Prior experience of credit risk for consumer lending or credit cards, especially for the US market.
- Interest in machine learning engineering.
- Strong SQL and interest in data engineering.
- Initial call with TA
- Take home task
- Task debrief and case study interview
- Final interviews with leadership team
- The opportunity to scale up one of the world's most successful fintech companies .
- Best-in-class compensation , including equity.
- You can work from home every Monday and Friday if you wish - on the other days, those based in the UK come together IRL at our Shoreditch office in London to be together, build and exchange ideas.
- Enjoy a fully stocked kitchen with everything you need to whip up breakfast, lunch, snacks, and drinks in the office every Tuesday-Thursday.
- We care for our Lendies' well-being both physically and mentally, so we offer coverage when it comes to private health insurance
- We're an equal-opportunity employer and are looking to make Lendable the most inclusive and open workspace in London
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