iwoca
Data Scientist - Partner Flow Team
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Data Scientist - Partner Flow Team
Data Scientist – Partner Flow
Hybrid in London, United Kingdom
About iwoca
Small businesses move fast. Opportunities often don’t wait, and cash flow pressures can appear overnight. To thrive, SMEs need finance that’s as flexible and responsive as they are.
At iwoca, we want to help business owners act with the speed, confidence, and control they need—exactly when it’s required.
- Already supported 100,000+ businesses, with over £4 billion in funding distributed.
- A passionate team dedicated to making better finance accessible, along with complementary tools that ease the burdens of running a business.
- Our mission: support one million SMEs in their defining moments, creating lasting economic and community impact.
The Team: Partner Flow
Partner Flow owns the customer journey from the moment a user starts an application on a partner platform through to a completed credit assessment. The team maximises partner-referred conversions by:
- Optimising the application process for smoothness and efficiency.
- Collecting the necessary data for accurate credit decisions.
The team is small and cross-functional, blending data science, engineering, design, and product – working collaboratively across:
- Pre-qualification – Testing the impact of showing offers before applications are submitted.
- Credit card strategy – Evaluating how credit cards complement iwoca’s existing flexi-loan product.
- Funnel optimisation – Identifying and removing bottlenecks in the partner-onboarding process.
The Role: Data Scientist – Partner Flow
You’ll drive experimentation and analytics for iwoca’s partner channel—a key growth lever where fintechs and platforms embed iwoca’s lending solutions into their own products.
Core Responsibilities
1. Experimentation & Causal Inference
- Design and analyse high-stakes experiments, where precise randomisation and interpretation are critical.
- Go beyond standard A/B testing when classical methods fall short—you’ll guide the business in focusing on what works.
- Key challenges:
- Measuring how pre-qualifying customers affects Customer Lifetime Value (CLTV).
- Understanding interactions between different financial products (e.g., loans + credit cards) when offered to the same customers.
2. Funnel & Competitive Strategy
- Analyse the entire partner-referred customer journey (from first touch to credit offer).
- Pinpoint the key friction points that reduce conversions.
- Study marketplace dynamics, deciphering why customers choose iwoca over competitors (or not) and how to influence those decisions.
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3. Commercial Translation
- You’re not just a data producer—you’re a decision-making partner.
- Collaborate with commercial and strategy teams, ensuring your findings are measurable and actionable. --align tests and policies with broader business initiatives.
4. AI & Automation
- Leverage AI to accelerate analysis and automate model-building.
- Think critically about when AI enhances insights and when traditional methods are preferable.
- Contribute to a team culture that embraces rapid learning through data.
Requirements
Essential
- Strong statistical foundation – Deep grounding in probability and statistics, with hands-on experience in:
- Bayesian reasoning.
- Hierarchical modelling.
- Decision-making under uncertainty.
- Causal inference – Intuition for navigating noise in observational data; trustworthy experimentation in high-consequence scenarios.
- Business translation – Not just technical execution but turning data into actionable strategies that actually influence decision-making.
- Data tooling – Proficiency in data manipulation and analysis tools (specific languages>: Python/R).
- Analytical ownership – Comfortability owning ambiguous problems from definition to delivery (definition to deploying insights).
- AI fluency – Curiosity about how AI improves automation, insight velocity, and impact on best practices.
- Communication – Able to write and speak clearly, tailoring technical details to varied audiences.
Bonus (Preferred Experiences)
- Statistical/ML modelling depth – Background in building or adapting models, with interest in the mechanics behind them.
- Stochastic methods – Familiarity with its application in inference, time series, or uncertainty management.
- Funnel & marketplace experience – Prior analysis of conversion funnels or competitive dynamics (e.g., fintech lending ecosystems).
- Development speed – Python-native preference; though experienced coders in R/etc. can bring context to Python-argot quickly.
- Market curiosity – Hunger to understand lending platforms, partner preferences, and what drives vendor/customer loyalty.
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Salary & Benefits
- Compensation Range: £70,000 – £100,000 (flexible—please provide your target wage!).
- Structured quarterly reviews with market benchmarking.
Culture & Development
iwoca thrives on:
- Intellectual freedom – The best ideas are forged through unfiltered thinking.
- Testing logic – Nothing stays unchallenged if it lacks clear evidence.
- Learning-first environment – Continuous growth is encouraged (e.g., remote sabbaticals after 4 years).
- AI-driven empowerment – Providing infrastructure so everyone stays at the cutting edge of data and models.
The Environment: Offices
- London, Leeds, Berlin, Frankfurt – Casual but vibrant spaces with free snacks, drinks, and community-driven events (think: weekly ping-pong/pool tournaments, running groups, and padel).
Benefits Overview
Basic Workplace Support
✔ Flexible working hours. ✔ Hybrid roles with solid on-site amenities (can you spot the Wi-Fi-tapping challenge?).
Wellbeing
✔ Vitality medical insurance (including subsidized gym memberships). ✔ +GameZone.co.uk private GP service (for you, your partner, and dependents). ✔ Unlimited mental health counseling at any time.
Time & Leave
✔ 25-day leave plus 1 "birthday leave" day. ✔ Flex option: Buy or sell 5 extra días do anual leave. ✔ Full paid 1-month sabbatical after 4 years. ✔ No لاحجاز سنة: Unpaid leave unrestricted.
Growth & Financial Perks
✔ 3% pension match based on total earnings. ✔ Equity incentive plan for carburetor. ✔ Industrial depth: Parental leave policies + nursery tax savings. ✔ EV + bike commuter schemes.
Collaborative & Team Lift
✔ Two company retreats annually (prioritising novelty – last iterations in France, Italy, Spain and expeditions beyond). ✔ Learning & development budget for everyone. ✔ Talks and workshops by internal/external speakers. ✔ Access to mod:Treehouse et al.
Additional Resources:
- iwoca Benefits & Policies
- [Interview Welcome Pack](insert link)
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