Data Scientist - Operations Strategy team

Join to apply for the Data Scientist - Operations Strategy team role at iwoca Deutschland.

iwoca is on a mission to make small businesses thrive. Since 2012, we have revolutionised how these businesses access finance, turning a once lengthy, frustrating process into fast, flexible, and effective funding that works for modern businesses. With billions in funding across Europe, we provide one of the continent’s leading fintech innovations.

Hybrid in London, UK. (Works out of London, Leeds, Berlin, and Frankfurt).

iwoca’s data scientists specialise in supervised machine learning, statistical inference and exploratory statistics, focusing on tabular and time‑series data. Our Operations Strategy team builds statistical models and runs split tests to improve the efficiency and effectiveness of our Operations teams while maintaining exceptional customer service.

Approximately 200 members of the Operations team work in London and Leeds. Our eight‑person Operations Strategy team aims to make customer‑facing teams more efficient and effective.

As a Data Scientist in our Operations Strategy team, you will set up and analyse tests, build statistical models, and produce data‑driven insights that inform strategy and improve operational performance.

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• Work closely with the Head of Operations Strategy, Operations staff and other stakeholders to align work with business goals and achieve valuable commercial outcomes.
  
• Design experiments to compare the performance of different strategies and evaluate them to inform decisions.
  
• Share findings and models with the wider business to impact strategy.
  

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• Independently build models to solve business problems, owning solution design.
  
• Promote analytical rigor within the team, ensuring experimental designs are correctly defined and tests are evaluated without bias.
  
• Data scientists play a key role in decision‑making, driving the data culture at iwoca.
  

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• Join our community of analysts, data scientists and statisticians for consistency in methodology across the organisation.
  
• Build expertise in Operations processes across the full customer journey, from signup to collections.
  

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• Set up, monitor and analyse split tests to understand the value of operations activities, such as determining the ROI of outbound calls and prioritising them effectively.
  
• Build predictive models based on customer satisfaction data to assess the impact of operational process changes.
  
• Build statistical models to enhance forecasting and capacity planning for operations teams.
  

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• PhD in a relevant numerate discipline or proven experience solving business problems with statistics or machine learning.
  
• Ability to dive deep into business context and translate data into actionable insights.
  
• Strong problem‑solving skills in probability and statistics.
  
• Proficiency with data manipulation and modelling tools (pandas, statsmodels, R).
  
• Self‑driven with the capability to manage projects end‑to‑end.
  
• Excellent communication skills, tailoring technical details to audience.
  

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• Experience with Python (our primary language).
  
• Experience with experimental design and Bayesian analysis.
  

£60,000 – £90,000 (open to discussion based on experience).

At iwoca, we prioritise a culture of learning, growth, and support, investing in professional development and encouraging diversity of thought.

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• Flexible working hours.
  
• Medical insurance via Vitality, gym membership discounts.
  
• Private GP service for you and dependents.
  
• 25 days holiday per year + extra birthday day + options to buy/sell additional leave.
  
• One‑month fully paid sabbatical after four years.
  
• Unlimited unpaid leave.
  
• External counselling and therapy access.
  
• 3% pension contributions.
  
• Employee equity incentive scheme.
  
• Generous parental leave and nursery tax benefit.
  
• Electric car and cycle‑to‑work scheme.
  
• Company retreats twice a year.
  
• Learning and development budget for everyone.
  
• Company‑wide talks with internal and external speakers.
  
• Access to learning platforms (e.g., Treehouse).
  

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• iwoca benefits & policies
  
• Interview welcome pack
  

Mid‑Senior level

Full‑time

Engineering and Information Technology