Data Science Manager (London)

Company: Lendable
Apply for the Data Science Manager (London)
Location: London
Job Description:

Job Description

hackajob is collaborating with Lendable to connect them with exceptional professionals for this role.

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About Lendable

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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:

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  • nOne of the UK’s newest unicorns with a team of just over 700 peoplen
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  • nAmong the fastest-growing tech companies in the UKn
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  • nProfitable since 2017n
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  • nBacked by top investors including Balderton Capital and Goldman Sachsn
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  • nLoved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)n

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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.

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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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Join us if you want ton

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  • nTake 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 1n
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  • nWork in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quon
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  • nBuild the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy liftingn

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About the role

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We are looking for a data science manager to own the data science strategy and build a data science team for non-lending products. You will partner with the managing directors of these new products to define what to build from a data science perspective and lead the delivery of the data science projects.

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Join us if:

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  • nYou enjoy working with cross functional fast moving teamsn
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  • nYou are able to think strategically about commercial products and how decisions using data can unlock more value for our customersn
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  • nYou enjoy being the thought partner to the managing directors who are in charge of launching and growing the new productsn
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  • nYou are excited about getting your hands dirty and getting the work donen

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You will directly report to the Head of Data Science (Catherine Chen) who is managing the data science team.

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What you’ll be working on

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  • nHire, develop and retain talented data scientistsn
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  • nOwn the data science roadmap to contribute to new product expansionn
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  • nBuild trust and influence a diverse range of leaders and stakeholders.n
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  • nGather requirements internally and externally to define the success of the data science projectsn
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  • nDrive exciting data science projects from both strategic level and tactical level.n
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  • nClearly communicate results to stakeholders through verbal and written communication.n
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  • nShare ideas with the wider team, learn from and contribute to the body of knowledge.n
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  • nBe a great mentor to a team of talented data scientists and the broader analytics communityn

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Key Skills

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  • nSuccessful track record of managing data science projects, with cross-functional teams and senior stakeholdersn
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  • nAt least 2+ years experience as a people managern
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  • nConfident and effective communication both internally and externallyn
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  • nExperience working in a highly regulated industryn
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  • nStrong technical skills in Python, SQL, and statisticsn
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  • nExperience across the model lifecycle from scoping and model development to deployment and monitoringn

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Nice to have

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  • nExperience of working in insurance, telco or consultingn
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  • nSpearhead new initiatives that challenge standard industry practicesn

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The interview process

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We’re not corporate so we try our best to get things moving as quickly as possible. For this role we’d expect:

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  • nShort Recruiter calln
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  • nCall with Hiring Managern
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  • nTake home taskn
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  • nTechnical Interviewn
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  • nFinal interviews with Head of Data Science and Chief Risk Officern

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Life at Lendablen

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  • nWinning team: the opportunity to scale up one of the world’s most successful fintech companiesn
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  • nFlexible 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-sitesn
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  • nSocials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office wallsn
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  • nHealth coverage: support for your physical and mental wellbeing, including private health covern
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  • nRetirement & savings: long-term financial wellbeing through retirement savings plansn
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  • nEmployee referral programme: earn a competitive bonus when you refer successful new team membersn
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  • nOffice meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locationsn
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  • nSustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locationsn

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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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Posted: July 9th, 2026