Data Scientist (AI)

United States Digital Space LLC; Greater London; Hybrid; GBP 70,000 - 120,000; Full time

Benefits offered by this job

Flexible working

Health coverage

Retirement plan

Employee referral programme

Meals & snacks

Sustainable commuting

Job summary

Lendable is building AI-powered fintech solutions to accelerate credit and savings outcomes. This role focuses on applied AI engineering, process design, and hands-on Python development to scale our automation stack.

You will work on loosely defined problems, test ideas quickly, and turn strong concepts into reliable services. Expect ownership from discovery to deployment, with a strong emphasis on measurable impact.

Qualifications

• Hands-on experience using LLMs in real workflows.
• Experience designing prompts and retrieval pipelines.
• Ability to identify where AI can automate business processes.
• Strong communication and ability to influence stakeholders.

Responsibilities

• Expand the chatbot's quality and account actions it can complete autonomously.
• Expand our in-house document extraction pipelines to improve parsing speed and accuracy.
• Design LLM-driven workflows that simplify case management.
• Find opportunities to replace manual work with effective AI systems.
• Own solutions from discovery and prototyping through deployment, evaluation and monitoring.

Skills

Python

LLMs in production

Prompt design

Retrieval pipelines

Agent workflows

Stakeholder communication

Ambiguity handling

Job description

About LendableLendable 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 most exciting unicorns with a team of over 800 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 Take ownership: you are trusted to make decisions that drive a material impact on the direction and success of the company from day 1

• Work in small teams of exceptional people: Lendies are relentlessly resourceful. We challenge the status quo to solve problems and find smarter solutions

• Build the best technology in-house: we use new data sources, machine learning and AI to make machines do the heavy lifting

This role combines applied AI engineering, process design and hands‑on Python development. You will work on loosely defined problems, test ideas quickly and turn the strongest ones into reliable services.

In under a year, we built a chatbot across Loans, Credit Cards and Motor Finance that now handles more than 1 million customer chats a year at around a 70% resolution rate. It completes complex account actions autonomously, end to end, and we hold it to the same standard as our best operations agents.

We have also built AI document parsers that process around 500,000 documents a year, and are trialling voice AI on our phone lines. You will help take these systems further and find the next high‑impact processes to automate.

What you will do Improve the chatbot's quality and expand the account actions it can complete autonomously.

• Expand our in‑house document extraction pipelines to make parsing faster and more accurate.

• Design LLM‑driven workflows that simplify case management.

• Find new opportunities to replace manual work with effective AI systems.

• Own solutions from discovery and prototyping through deployment, evaluation and monitoring.

What we are looking for Strong engineering skills and experience building production systems.

• Hands‑on experience using LLMs in real workflows.

• Experience designing and improving prompts, retrieval pipelines, agent workflows and evaluations.

• An understanding of business processes and good judgement about where AI can simplify or automate them.

• The ability to structure ambiguous problems, test hypotheses and make progress with partial information.

• Clear communication and the ability to explain trade‑offs and influence stakeholders.

Why join us Work with LLMs, retrieval systems, agents and automation pipelines every day.

• Join a small, autonomous team with meaningful ownership and decision‑making power.

Interview process Introductory call

• Take‑home exercise

• Take home debrief

• Case study

• Onsite final interview

Life at the company Winning team: the opportunity to scale up one of the world’s most successful fintech companies

• Flexible working: flexible approach tailored to each role. Hybrid roles require three days in‑office weekly; fully remote roles include regular opportunities for in‑person connection through socials and off‑sites

• Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls

• Health coverage: support for your physical and mental wellbeing, including private health cover

• Retirement & savings: long‑term financial wellbeing through retirement savings plans

• Employee referral programme: earn a competitive bonus when you refer successful new team members

• Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in‑house chefs on in‑office days at select locations

• Sustainable commuting: cycle‑to‑work and electric vehicle salary sacrifice schemes available in select locations

Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.

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