Data Science Manager (London)

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 people\n
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  • \nAmong the fastest-growing tech companies in the UK\n
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  • \nProfitable since 2017\n
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  • \nBacked by top investors including Balderton Capital and Goldman Sachs\n
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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 to\n

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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 1\n
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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 quo\n
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  • \nBuild the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting\n

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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 teams\n
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  • \nYou are able to think strategically about commercial products and how decisions using data can unlock more value for our customers\n
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  • \nYou enjoy being the thought partner to the managing directors who are in charge of launching and growing the new products\n
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  • \nYou are excited about getting your hands dirty and getting the work done\n

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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 scientists\n
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  • \nOwn the data science roadmap to contribute to new product expansion\n
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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 projects\n
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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 community\n

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Key Skills

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  • \nSuccessful track record of managing data science projects, with cross-functional teams and senior stakeholders\n
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  • \nAt least 2+ years experience as a people manager\n
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  • \nConfident and effective communication both internally and externally\n
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  • \nExperience working in a highly regulated industry\n
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  • \nStrong technical skills in Python, SQL, and statistics\n
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  • \nExperience across the model lifecycle from scoping and model development to deployment and monitoring\n

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Nice to have

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  • \nExperience of working in insurance, telco or consulting\n
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  • \nSpearhead new initiatives that challenge standard industry practices\n

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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 call\n
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  • \nCall with Hiring Manager\n
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  • \nTake home task\n
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  • \nTechnical Interview\n
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  • \nFinal interviews with Head of Data Science and Chief Risk Officer\n

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Life at Lendable\n

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  • \nWinning team: the opportunity to scale up one of the world’s most successful fintech companies\n
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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-sites\n
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  • \nSocials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls\n
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  • \nHealth coverage: support for your physical and mental wellbeing, including private health cover\n
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  • \nRetirement & savings: long-term financial wellbeing through retirement savings plans\n
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  • \nEmployee referral programme: earn a competitive bonus when you refer successful new team members\n
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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 locations\n
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  • \nSustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations\n

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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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Job Details

Company
Lendable
Location
London, UK
Hybrid / Remote Options
Employment Type
Part-time
Posted