At a Glance
- Tasks: Own experimentation and analytics for iwoca's partner channel, shaping the analytical approach.
- Company: Join iwoca, a fintech innovator helping SMEs thrive with flexible finance solutions.
- Benefits: Enjoy flexible hours, medical insurance, generous holiday, and a learning budget.
- Other info: Collaborative culture with opportunities for personal growth and exciting company retreats.
- Why this job: Make a real impact on how businesses access finance while working with cutting-edge technology.
- Qualifications: Strong statistical foundation, experience in causal inference, and proficiency in data tools.
The predicted salary is between 70000 - 100000 £ per year.
We're looking for a Data Scientist to join the Partner Flow team. You’ll own experimentation and analytics for iwoca's partner channel – fintechs and platforms that embed iwoca lending in their own products. The analytical approach is still being built, and the scope to shape it is wide.
The team owns the customer journey from the moment someone starts an application on a partner platform through to a completed credit assessment. By making the application process as smooth as possible and collecting the data needed for a credit decision efficiently, the team maximises the number of partner-referred customers that receive an offer. The team works across the full application stack – from the APIs partners use to integrate iwoca, through to the experience customers see when they apply. The team is small and cross-functional, combining data science, engineering, design, and product.
Active projects include:
- Pre-qualification – testing how showing customers an offer before they apply affects conversion and long-term value.
- Credit card strategy – iwoca recently launched a credit card alongside its flexi-loan; the team is working out which product, or combination, to offer which customers.
- Funnel optimisation – identifying and reducing the biggest points of friction across the partner journey.
The role involves designing experiments, modelling customer behaviour, and analysing large data sets across the partner funnel, turning findings into product and strategy decisions. You'll influence how the analytical approach develops, not just what it produces. The work has direct commercial consequences – on partner platforms, iwoca competes for attention alongside other lenders, and what this team builds and tests affects which customers convert and on what terms. You'll work closely with commercial, strategy, and product colleagues across the business.
Key responsibilities include:
- Experimentation and causal inference – designing and analysing experiments where careful randomisation and interpretation are critical.
- Funnel and competitive strategy – analysing the full partner-referred customer journey, identifying where conversion breaks down and why.
- Commercial translation – being directly involved when decisions get made and coordinating with adjacent teams.
- AI and ways of working – using AI to accelerate and automate analytical work.
Essential requirements:
- Strong grounding in probability and statistics, with an understanding of Bayesian reasoning and experience applying hierarchical modelling or decision-making under uncertainty.
- Experience separating signal from noise in observational and experimental data.
- Ability to understand commercial context and translate data into actionable insights.
- Proficiency with data manipulation and modelling tools.
- Comfortable owning ambiguous problems end-to-end.
- Experience with and a passion for using AI to accelerate and automate analysis.
- Clear communication skills, adapting technical detail to different audiences.
Bonus requirements:
- Experience building or adapting statistical or ML models.
- Familiarity with stochastic modelling concepts.
- Experience with conversion funnel analysis or marketplace dynamics.
- Proficiency in Python.
- Curiosity about the partner lending market.
The salary is expected to be from £70,000 – £100,000 for this role. We routinely benchmark salaries against market rates and run quarterly performance and salary reviews.
At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence-based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective.
We put a lot of effort into making iwoca a great place to work, with offices in London, Leeds, Berlin, and Frankfurt, and plenty of drinks and snacks. We offer flexible working hours, medical insurance, 25 days’ holiday per year, and various other benefits including a learning and development budget for everyone.
Data Scientist - Partner Flow Team employer: Iwoca Ltd
At iwoca, we pride ourselves on being an exceptional employer that fosters a culture of independent thinking and continuous learning. Our London office offers a vibrant work environment with flexible hours, generous benefits including medical insurance and a learning budget, and unique opportunities for personal and professional growth. Join us in our mission to empower SMEs while enjoying a collaborative atmosphere where your ideas can truly make an impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Partner Flow Team
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those at iwoca or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects or experiments, make sure to highlight them in conversations. Demonstrating your analytical prowess can really set you apart from the crowd.
✨Tip Number 3
Prepare for the interview by understanding iwoca's mission and values. Tailor your examples to show how your experience aligns with their goals, especially around supporting SMEs and using data to drive decisions.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in being part of the iwoca team.
We think you need these skills to ace Data Scientist - Partner Flow Team
Some tips for your application 🫡
Show Your Analytical Skills:When you write your application, make sure to highlight your analytical skills. We want to see how you approach problems and the methods you use to solve them. Use examples from your past experiences to demonstrate your ability to turn data into actionable insights.
Tailor Your Application:Don’t just send a generic application! Tailor it to the Data Scientist role in our Partner Flow team. Mention specific projects or responsibilities from the job description that excite you and explain why you’re a great fit for them.
Be Clear and Concise:We appreciate clarity! Make sure your writing is straightforward and easy to understand. Avoid jargon unless it’s relevant, and keep your sentences concise. This will help us see your communication skills right from the start.
Apply Through Our Website:We encourage you to apply through our website for the best experience. It’s super easy and ensures your application gets to the right place. Plus, you’ll find all the info you need about the role and our company culture there!
How to prepare for a job interview at Iwoca Ltd
✨Know Your Data Science Fundamentals
Make sure you brush up on your statistical foundations, especially probability and Bayesian reasoning. Be ready to discuss how you've applied these concepts in real-world scenarios, particularly in causal inference and decision-making under uncertainty.
✨Showcase Your Experimentation Skills
Prepare to talk about your experience with designing and analysing experiments. Highlight any instances where you've had to adapt standard A/B testing methods and how you’ve interpreted results to influence product decisions.
✨Understand the Business Context
It's crucial to translate your data insights into actionable business strategies. Think of examples where your analysis directly impacted commercial decisions, and be ready to explain how you can bridge the gap between data science and business needs.
✨Familiarise Yourself with AI Tools
Since the role involves using AI to enhance analytical work, be prepared to discuss your experience with AI tools and how they can accelerate analysis. Share specific examples of how you've leveraged AI in your previous projects to drive results.