iwoca is breaking down the barriers that stop Europe’s 20 million small businesses from accessing finance. Traditional bank loans have slow application processes, inflexible terms and burdensome criteria. In contrast, we use cutting-edge technology to offer flexible access to credit with a five minute application process and a decision in minutes.
Since 2012, we've lent over £1 billion to 50,000 businesses across Europe. Our customers include everything from cafés to car dealers, salons to solicitors. Along the way we have built a sophisticated technology platform, won numerous awards and grown a fun and vibrant team.
However, we’re still near the start of our journey – our aim is to finance a million small businesses within a decade and so we need more smart, hands-on people to help us reach this goal.
We are looking for Data Scientists from strong analytical backgrounds that can take potentially ambiguous, real-world business problems and formulate statistical solutions, which can be implemented in a pragmatic way. We’re looking for people who understand the limitations and assumptions of such a modelling process and can generate actionable insights and build effective predictive models.
- High calibre and diverse team of data scientists with a range of expertise.
- All members of the team have strong analytical backgrounds in Physics, Mathematics, Engineering etc, some with PhDs in their respective field.
- Broad and significant engagement in all steps of the problem solving process, including specification, solution proposal, implementation and delivery.
- Our development cycle is tight and incorporates elements of Agile processes, which means features or projects go live in days or weeks rather than months or years.
- We value personal development, constructive feedback, sharing knowledge and trying innovative solutions to problems.
What do we do?:
- Application of statistical modelling and machine learning techniques.
- Delivery of data driven solutions and predictions for a diverse range of business problems, including risk assessment and contact prioritisation.
- Development of real-time data pipelining and delivery of ML predictions.
- A/B testing and data analysis using statistical methods to generate insights and optimise existing and future business processes.
- Multi-disciplinary projects with the wider tech team and business stakeholders.
- Strong analytical background, e.g PhD or degree in Mathematics, Physics, Engineering, Computer Science or related field; or equivalent experience.
- Good understanding of the techniques used in statistical data analysis, ability to generate well founded insights from potentially unstructured data.
- Some practical application of predictive modelling and pragmatic implementation of machine learning techniques to effectively solve real-world problems is a bonus.
- Someone that isn't satisfied with just applying out-of-the-box models, you want to know how they work, when they work and why they work.
- Some practical object-oriented programming experience: Python, Java, C/C++ or similar.
- Experience with some of the common Python data-science toolkits: Pandas, NumPy, SciPy, Scikit-learn is a bonus.
- Experience with R, Matlab, and/or SQL would be beneficial.
- Self-starter with ability to work autonomously in a relatively unconstrained environment.
- A healthy skepticism and desire to build innovative, but practical, solutions to business problems.
- Love for coding and getting hands-on with the raw data to really understand the underlying processes and nuances of the problem.
You’ll join a growing team of smart, humble and motivated people, all passionate about learning and developing themselves and united in their passion to grow an amazing business that revolutionises business finance.
What’s life like as an iwocan?
We all enjoy:
- Bright, modern office spaces in Tottenham Court Road and Covent Garden
- Two company retreats a year (in places like the French Alps or Spanish seaside)
- Pool, ping pong, foosball tables and tournaments and yoga
- An ever-growing number of clubs including climbing, chess, football and boxing
- Plenty of drinks and snacks in our office kitchen
- A paid volunteering day each year, for you to support your chosen charity
Just for you:
- Medical insurance from Vitality, including discounted gym membership
- Stock options
- Enhanced maternity and shared parental leave
- A workplace nursery tax benefit scheme
- 25 days holiday per year and an extra day off on your birthday
- Extra leave if you want to travel or study
- Special celebrations for anniversaries and long service including sabbatical
- Flexible working
- Cycle-to-work scheme
And to make sure we all keep learning, we offer:
- Tickets to tech conferences across Europe
- Company-wide talks with internal and external speakers
- A calendar of meetups we host at our office
- Access to learning platforms like Treehouse if you want to learn to code.