Data Scientist

🕒 September 25, 2025

🏢🏡 London – Hybrid

💵 £60k - £90k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🇬🇧 UK Skilled Worker Visa Sponsor

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iwoca

WebsiteLinkedIn

201 - 500 employees

💰 Debt Financing on 2020-08

iwoca was founded to expand possibilities for small businesses.At iwoca, we believe finance should feel like a superpower, not a headache. That’s why our founders, Chris and James, decided to create a solution custom-built for small businesses. One that strips out the hassle, gets to know what each business needs, and looks for opportunities rather than problems. One that provides access to finance where and when your business needs it.Our partner integrations and our Lending API mean we can provide access to finance where and when small businesses need it. Our award winning credit risk engine help us make faster, more accurate credit decisions built around the performance of the business.We are proud to be NACFB Lender of the year, Xero Financial Services App of the year and, most recently, winner of the £10m Banking Competition Remedies grant.Since 2012, we’ve made funding available to over 50,000 businesses, from cafés to car dealers, salons to solicitors. But we’ve only just started. Our mission is to fund one million small businesses.

📋 Description

• Design and evaluate experiments across paid and organic channels to generate evidence on what drives conversions • Build statistical and predictive models and develop statistical attribution and predictive lead scoring models • Turn complex data into clear insights and frameworks for Paid Search and Paid Social to enable smarter bidding and performance • Own projects end to end, from framing questions to delivering outcomes, working closely with stakeholders • Embed and collaborate with engineers, product managers, designers, and data scientists within a cross-functional Acquisition Tech team • Deliver models and insights that directly influence how iwoca invests in sales and marketing and impacts customer acquisition

🎯 Requirements

• Expertise in probability and statistics, gained through a quantitative field such as Mathematics, Physics, Statistics or similar • Ability to understand business context and translate data into actionable insights that guide decisions • Proficiency with data manipulation and modelling tools such as pandas, statsmodels or R • Experience with scientific computing tools such as NumPy, SciPy, R, Matlab, Mathematica or BLAS • Ability to work autonomously and manage projects end to end, from framing the question to delivering outcomes • Ability to communicate clearly in writing and speech, adapting technical detail to suit different audiences • Understanding of Bayesian statistics, including experience or interest in applying hierarchical Bayesian models (bonus) • Experience building machine learning models from scratch, including creating custom optimisers (bonus) • Knowledge of stochastic processes and related mathematical techniques (bonus) • Experience working with Python, our primary programming language (bonus) • Understanding of financial concepts such as deterministic cash flows (bonus) • Right to work in the UK (application requests VISA status)

🏖️ Benefits

• Flexible working hours • Medical insurance from Vitality, including discounted gym membership • A private GP service (separate from Vitality) for you, your partner, and your dependents • 25 days’ holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave • A one-month, fully paid sabbatical after four years • Instant access to external counselling and therapy sessions for team members that need emotional or mental health support • 3% Pension contributions on total earnings • An employee equity incentive scheme • Generous parental leave and a nursery tax benefit scheme to help you save money • Electric car scheme and cycle to work scheme • Two company retreats a year • Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks • Events and clubs, like bingo, comedy nights, football, etc. • A learning and development budget for everyone • Company-wide talks with internal and external speakers • Access to learning platforms like Treehouse

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