At a Glance
- Tasks: Analyse data and build models to enhance operational efficiency and customer satisfaction.
- Company: Join iwoca, a leading fintech innovator empowering small businesses across Europe.
- Benefits: Flexible hours, medical insurance, generous holiday, and a learning budget.
- Why this job: Make a real impact on small businesses while developing your data science skills.
- Qualifications: PhD or relevant experience in statistics/machine learning; strong problem-solving skills.
- Other info: Dynamic culture with opportunities for growth and exciting company retreats.
The predicted salary is between 48000 - 72000 ÂŁ per year.
Hybrid in London, UK
The company
Imagine a world where every small business has the power to thrive. That’s the world we’re building at iwoca. Small businesses aren’t just statistics – they’re the heartbeat of our communities, the character of our high streets, and the engine of our economy. Since 2012, we’ve revolutionised how these businesses access finance, turning what was once a lengthy, frustrating process into something remarkable: funding that’s fast, flexible, and actually works for modern businesses. Our impact speaks for itself: we’ve provided billions in funding to more than 150,000 businesses across Europe, making us one of the continent’s leading fintech innovators. But we’re just getting started. Our mission? To empower one million businesses with the financial tools they deserve. We combine cutting‑edge technology and data science with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether a business is managing cash flow or seizing unexpected opportunities, we ensure they get the funds they need – often within minutes.
The function
iwoca's data scientists specialise in supervised machine learning, statistical inference and exploratory statistics, focusing on tabular and time‑series data. Their work emphasizes quantitative predictions through the analysis of conditional probabilities and expectations, using medium‑sized datasets.
The team
There are approximately 200 members of the Operations team working in London and Leeds to deliver an exceptional level of customer service. Our eight‑person Operations Strategy team works to make our customer‑facing teams more efficient and more effective.
The role
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.
Strategy and innovation
- 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.
Ownership and influence
- 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.
Development opportunities
- 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.
The projects
Here are some examples of projects you might work on:
- 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.
The requirements
Essential:
- 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.
Bonus:
- Python experience (we mostly work in Python).
- Experience with experimental design and Bayesian analysis.
The salary
The salary range is £60,000 - £90,000 for this role. But, we’re open‑minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews.
The culture
At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services.
The offices
We put a lot of effort into making iwoca a great place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and clubs, like bingo, comedy nights, football, etc.
The 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: we’ve been to France, Italy, Spain, and further afield.
And to make sure we all keep learning, we offer:
- A learning and development budget for everyone.
- Company‑wide talks with internal and external speakers.
- Access to learning platforms like Treehouse.
Useful links
iwoca benefits & policies Interview welcome pack
Data Scientist - Operations Strategy team in City of London employer: Iwoca
Contact Detail:
Iwoca Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Operations Strategy team in City of London
✨Tip Number 1
Network like a pro! Reach out to current employees at iwoca on LinkedIn or attend industry events. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your data science skills. Be ready to discuss your experience with statistical models and machine learning techniques, as well as how they can impact operations strategy.
✨Tip Number 3
Show off your problem-solving skills! During interviews, share specific examples of how you've tackled complex data challenges in the past. This will demonstrate your ability to translate data into actionable insights.
✨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 joining the iwoca team.
We think you need these skills to ace Data Scientist - Operations Strategy team in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Scientist in our Operations Strategy team. Highlight your experience with machine learning, statistical models, and any relevant projects that showcase your problem-solving skills.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about helping small businesses thrive and how your skills align with our mission at iwoca. Don’t forget to mention specific examples of your work that relate to the job description.
Showcase Your Technical Skills: We love data-driven insights! Be sure to highlight your proficiency with tools like pandas, statsmodels, and R. If you have Python experience, definitely include that too, as it’s a big plus for us.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Iwoca
✨Know Your Data Science Stuff
Make sure you brush up on your knowledge of supervised machine learning, statistical inference, and exploratory statistics. Be ready to discuss how you've applied these techniques in real-world scenarios, especially with tabular and time-series data.
✨Understand the Business Context
Dive deep into iwoca's mission and values. Familiarise yourself with how small businesses operate and the challenges they face. This will help you translate your data insights into actionable strategies that align with their goals.
✨Prepare for Problem-Solving Questions
Expect to tackle some problem-solving questions during the interview. Practice explaining your thought process clearly and concisely, especially when it comes to probability and statistics. Use examples from your past experiences to illustrate your approach.
✨Show Off Your Communication Skills
Since you'll be sharing findings with various stakeholders, practice tailoring your communication style to different audiences. Be prepared to explain complex concepts in simple terms, demonstrating your ability to make data-driven insights accessible to everyone.