Data Scientist - Operations

Data Scientist - Ops Team

Location: Hybrid in London, UK

We're looking for a Data Scientist

As a data scientist in our Operations Strategy team, you'll help us use data-driven insights to make strategic improvements to the service our Operations teams provide to our customers.

The company

Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe.

Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service.

The role

As a Data Scientist in our Operations Strategy team, the data-driven insights that you produce will help us make strategic improvements to our ways of working in our UK and Germany Operations teams (currently c.180 people, across London, Leeds, and Frankfurt). You will play a crucial role working to set up and analyse tests, and to build statistical models which will allow us to better understand the value of the work carried out by our Operations teams. This allows us to continue improving the efficiency and effectiveness of our Operations teams, all while maintaining an exceptional level of customer service.

Responsibilities:

1. Work closely with the Head of Operations Strategy, Operations staff and other stakeholders to ensure alignment with business goals.
2. Design experiments to compare the performance of different strategies and evaluate them rigorously.
3. Share findings and modelling with the wider business to impact our strategy.
4. Independently build data science solutions and statistical models to solve business problems.
5. Promote analytical rigour within the team.
6. Join our community of Analysts/Data Scientists/Statisticians to ensure alignment in methodology.
7. Build deep expertise in Operations processes across the full range of the customer journey.

The projects

Here are some examples of projects you might work on:

1. Setting up, monitoring and analysing split tests to understand the value of operations activities.
2. Building predictive models based on customer satisfaction data.
3. Building statistical models for accurate forecasting and capacity planning.

The requirements

Essential:

1. A PhD in a relevant numerate discipline or previous experience in solving business problems in industry with statistics or machine learning techniques.
2. Ability to dive deep into the business context and translate data into actionable insights.
3. Strong problem-solving skills in probability and statistics.
4. Proficiency with data manipulation and modelling tools, e.g., pandas, statsmodels, and R.
5. Self-driven with the capability to efficiently manage projects end-to-end.
6. Excellent communication skills tailored to your audience.

Bonus:

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

The salary

The salary range is £60,000 - £90,000 for this role. Include your salary goals with your application.

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.

The offices

We put a lot of effort into making iwoca a brilliant place to work:

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

The benefits

• Medical insurance from Vitality, including discounted gym membership, and a private GP service.
• 25 days' holiday, an extra day off for your birthday, and the option to buy or sell additional days of annual leave.
• Instant access to emotional and mental health support.
• Pension and share options.
• Generous parental leave and a nursery tax benefit scheme.
• Paid volunteering day to support your chosen charity.
• Cycle-to-work scheme and electric car scheme.
• Two company retreats a year.

And to ensure 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.