Data Scientist (AI)
Reads like a ML Engineer role: putting models into production.
London · London, United Kingdom
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Location type: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Growth & Analytics › Credit & Data › UK Operations Analytics — team source
Department: Growth & Analytics › Credit & Data › UK Operations Analytics
From the employer’s posting
What you’ll work on
Full postingImprove the chatbot's quality and expand the account actions it can complete
Expand document extraction pipelines for faster, more accurate parsing
Design LLM-driven workflows that simplify case management
Find new manual work to replace with effective AI systems
Own solutions from prototyping through deployment, evaluation and monitoring
From the employer’s posting
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 you’ll bring
All qualificationsCore experience
- 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
- Understanding of business processes and where AI can simplify or automate them
- Ability to structure ambiguous problems and make progress with partial information
Qualification wording
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.
Tools in this posting
- Python
Source — Tool mentions in context
- 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.
About Lendable
Lendable is on a mission to build the world's best technology to help people get credit and save money.
In the employer’s words · Read in context · Company website ↗
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 2, 2026 · 19 days ago
- Recorded sightings
- 32
- Last seen by us
- Oct 21, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
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 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 Lendable 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 Lendable
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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Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
London, United Kingdom
- 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
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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