At a Glance
- Tasks: Enhance AI systems and automate processes to improve customer interactions.
- Company: Join Lendable, a leading fintech unicorn transforming credit and savings.
- Benefits: Flexible working, health coverage, retirement plans, and social events.
- Other info: Dynamic environment with opportunities for personal and professional growth.
- Why this job: Be part of a winning team revolutionising finance with cutting-edge technology.
- Qualifications: Strong engineering skills and experience in building production systems.
The predicted salary is between 105750 - 129250 £ per year.
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 UKProfitable since 2017Backed 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'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.
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.
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.
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.
An understanding of business processes and good judgement about where AI can simplify or automate them.
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: For more information, please speak to your Talent Partner.
Data Scientist Ml Ai Python in London employer: Lendable
Lendable is an exceptional employer that champions innovation and flexibility, making it an ideal place for a Senior Kotlin/JVM Engineer to thrive. With a vibrant work culture that prioritises collaboration and personal growth, employees are encouraged to develop their skills while contributing to impactful financial products. The company's commitment to flexible working arrangements further enhances the work-life balance, making it a rewarding environment for those looking to make a difference in the fintech space.
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We think this is how you could land Data Scientist Ml Ai Python in London
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We think you need these skills to ace Data Scientist Ml Ai Python in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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