Junior Data Scientist

Lendable
City of London
18 hours ago
Create job alert
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 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)



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 team


Lendable is the UK market leader in real rate risk-based pricing, offering consumers transparency and product assurance at the point of application. Data Science and Analytics sits at the heart of this USP, developing the credit risk models and strategies to underwrite loan and credit card products.


Our team is primarily focused on the pricing domain but we also work on other areas including product and credit. We implement a range of machine learning techniques and analytical tools to continually improve our product offering.


About the role


You will be working in the UK Loans team at Lendable and will work on projects related to pricing, funnel and credit optimisation in collaboration with the credit and product teams.


Join us if you want to



  • Work in a small, high-impact team where you will be mentored to solve complex analytical problems, eventually taking ownership of your own models


  • Be resourceful to solve problems and find smarter solutions than the status quo.


  • Work closely with other members of the team that will support developing your technical expertise and domain knowledge



Our team’s objectives



  • The pricing team owns the loans funnel analytics and pricing strategy.


  • We work across the business in a multidisciplinary capacity to identify issues, translate business problems into data questions, analyse and propose solutions.



How you’ll impact those objectives



  • Learn the domain of products that Lendable serves, understanding the data that informs strategy and modelling is essential to being able to successfully contribute value.


  • Research and propose improvements to our existing strategies and modelling methodology


  • 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 (pandas, numpy, scikit-learn) and SQL


  • Theoretical understanding of core ML techniques and statistical principles


  • Confident communicator and contributes effectively within a team environment


  • Self-driven and willing to take ownership of specific tasks and analyses



Nice to Have



  • Interest in Data Engineering


  • Exposure to credit risk or financial datasets


  • Prior experience with financial modelling



The interview process


For this role we’d expect:



  • A phone call with one of the team


  • Video Call case study (Remote)


  • An exercise to complete in your own time


  • Onsite Interview



    • Discuss the exercise you completed


    • Meet the team you’ll work with daily





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, 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



Check out our blog!


#J-18808-Ljbffr

Related Jobs

View all jobs

Junior Data Scientist

Junior Data Scientist

Junior Data Scientist

Junior Data Scientist

Junior Data Scientist

Junior Data Scientist

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.