Hybrid in London United Kingdom
Were looking for a Head of Data Science
Youll lead multiple data science teams whose work guides decision-making across lending product operations and strategy. Youll shape how we work ensuring that analytical insight directly influences the choices that matter most at iwoca.
The company
Small businesses move fast. Opportunities often dont wait and cash flow pressures can appear overnight. To keep going and growing SMEs need finance thats as flexible and responsive as they are.
Thats why we built iwoca. Our smart technology data science and five-star customer service ensures business owners can act with the speed confidence and control they need exactly when its needed.
Weve already cleared the way for 100000 businesses with more than 4 billion in funding. Our passionate team is driven to help even more SMEs succeed through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments creating lasting impact for the communities and economies they drive.
The team
iwocas data scientists build probabilistic and statistical models that make lending decisions in real time support forecasting and shape commercial strategy. Their work is deployed in production code and makes real-time lending decisions; its more than exploratory analysis. Successfully leading iwocas data science teams will require close collaboration with engineering product and commercial teams.
The role
As the Head of Data Science youll lead a group that focuses on rigorous interpretable and commercially useful modelling that is deployed monitored and maintained in production. Youll set direction shape team structure and ensure the functions work is grounded in commercial context and used by decision-makers across iwoca.
The group has approximately 25 data scientists with most working in a central team and some smaller groups aligned to specific products or domains. Youll report to one of iwocas co-founders who is also a data scientist.
Strategic direction
Youll work with the team leads and senior data scientists who coordinate day-to-day work. Youll help them plan sequence and review projects and maintain consistent standards of reasoning communication and methodology. Youll help the teams decide where and how to apply their efforts identifying where modelling adds value and where a lighter heuristic approach could be more effective.
Technical and people leadership
Youll oversee hiring and development ensuring assessment progression and knowledge-sharing are fair structured and suited to a growing multi-team environment. Youll shape how data science is applied at scale how uncertainty is communicated how analytical support is allocated and how the function directs its effort to the highest-value work.
Collaboration with engineering and business teams
Youll coordinate with Engineering Product and Operations teams so that projects are properly scoped resourced and aligned with wider priorities. Youll represent the function in discussions that shape lending risk and product decisions by explaining assumptions highlighting risks and helping senior stakeholders act on analytical insight.
The requirements
Essential
Strategic leadership: You have experience setting data science strategy and aligning work with commercial goals. You can translate technical modelling for senior stakeholders make assumptions explicit and shape the decisions that follow.
Production experience: You have managed the full lifecycle of models in production deploying monitoring and retiring them. You are comfortable coordinating chains of model dependencies across different teams.
Commercial acumen: You understand how modelling supports business decisions and know when to make trade-offs between depth delivery time and value.
Team development: You have a track record of hiring and developing data scientists and establishing consistent standards for planning peer review and methodology.
Technical background: You have a background in probability statistics or a related quantitative field such as mathematics or physics and can evaluate analytical work for conceptual soundness.
Bonus:
Experience shaping an R&D or modelling agenda including probabilistic or long-term forecasting work
Experience in domains such as credit risk lending or customer lifetime value
Experience representing a data science function externally (for example industry events or publications)
The salary
We expect to pay from 120000 to 170000 for this role. But were 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 community-led groups including running groups padel and monthly ping-pong and pool competitions.
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: weve 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:
Required Experience:
Director
Coda is an all-in-one platform that blends the flexibility of docs, structure of spreadsheets, power of applications, and intelligence of AI.