Jobs

Data Scientist (Autolend)


Job details
  • Lendable Ltd
  • London
  • 2 weeks ago
Applications closed

About the role
You will be working on Autolend, our vehicle financing product. You will own the machine-learning models used for automated risk-assessment, as well as picking up other projects related to automation of document processing, and pricing.

Join us if you want to

  1. Build best-in-class machine learning systems that are core to the success of our business.
  2. Own the deployment and monitoring of your models in production.
  3. Work in small teams where you are trusted to take ownership and make decisions quickly.
  4. Be resourceful to solve problems and find smarter solutions than the status quo.

Our team's objectives

  1. The data science team develops proprietary risk models which are core to the company’s success.
  2. We work across the business in a multidisciplinary capacity to identify issues, translate business problems into data questions, analyse and propose solutions.
  3. We self-serve with all deployment and monitoring, without a separate machine-learning-engineering team.

How you'll impact those objectives

  1. 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.
  2. Rigorously search for the best models that enhance underwriting quality.
  3. Clearly communicate results to stakeholders through verbal and written communication.
  4. Share ideas with the wider team, learn from and contribute to the body of knowledge.

Key skills

  1. Experience using Python and SQL
  2. Strong proficiency with PyData stack
  3. Knowledge of machine learning techniques
  4. Confident communicator and contributes effectively within a team environment
  5. Self driven and willing to lead on projects / new initiatives

Nice to have

  1. Interest in machine learning engineering
  2. Interest in data engineering
  3. Prior experience with credit risk modelling
  4. Prior experience with use of LLMs for document question answering

Interview process

  1. A phone call with one of the team
  2. An exercise to complete in your own time
  3. Onsite Interviews:
  4. Discuss the exercise you completed
  5. Meet the team you’ll work with daily
  6. Meet the exec team

Life at Lendable
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 we all come together IRL to be together, build and exchange ideas. Our in-house chef prepares fresh, healthy lunches 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.

About Lendable
Lendable is on a mission to make consumer finance amazing: faster, cheaper and friendlier. 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 400 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). 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.

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