Data Scientist - Operations Strategy team

As a Data Scientist in our Operations Strategy team, you will play a crucial role working to set up and analyse tests, and to build statistical models. The data-driven insights you produce will help us develop strategies to improve the efficiency and effectiveness of our Operations teams, all while maintaining an exceptional level of customer service.

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• Work closely with the Head of Operations Strategy, Operations staff and other stakeholders to ensure that your work aligns with business goals and achieves valuable commercial outcomes.
  
• Design experiments to compare the performance of different strategies and evaluate them to inform decisions.
  
• Share your findings and modelling with the wider business to impact our strategy.
  

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• Independently build models to help solve our business problems, with responsibility for the solution design.
  
• Promote analytical rigour within the team, ensuring that our experimental designs are correctly defined and that we evaluate tests without bias.
  
• Iwoca lives and breathes data, so data scientists have a key role in decision‑making.
  

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• Join our community of analysts/data scientists/statisticians to ensure alignment in methodology across iwoca. You’ll be part of a peer group with whom you can discuss best practices or the latest advances so that you share and deepen your technical expertise.
  
• Build expertise in Operations processes across the full range of the customer journey, from signup through to collections.
  

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• Setting up, monitoring and analysing split tests to help understand the value of operations activities. This could include determining the return on investment of different types of outbound calls that are made by our account managers and using this to prioritise these calls effectively to maximise the effectiveness of the team.
  
• Building predictive models based on customer satisfaction data, to determine whether changes that are made to operations’ processes genuinely improve customer satisfaction.
  
• Building statistical models to enhance the ability of operations teams to do accurate forecasting and capacity planning.
  

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• A PhD in a relevant numerate discipline or previous experience in solving business problems in industry with statistics or machine learning techniques.
  
• Ability to dive deep into the business context and translate data into actionable insights.
  
• Strong problem‑solving skills in probability and statistics.
  
• Proficiency with data manipulation and modelling tools, for example pandas, statsmodels, and R.
  
• Self‑driven with the capability to efficiently manage projects end‑to‑end.
  
• Excellent communication skills, you tailor your communication style and the technical detail according to your audience.
  

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• Python experience (we mostly work in Python).
  
• Experience with experimental design and Bayesian analysis.
  

The salary range is £60,000 – £90,000 for this role. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. If you’re open‑minded, definitely include your salary goals with your application.

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• 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: we’ve been to France, Italy, Spain, and further afield.
  

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• Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks.
  
• Events and clubs, like bingo, comedy nights, football, etc.