Senior Data Scientist - Customer Lifetime Value
Hybrid in London / Remote within the UK
We’re looking for a Data Scientist
Our Customer Lifetime Value (CLtV) model is a highly developed and tailored model, which is central to our business strategy at iwoca. As a Data Scientist in our CLtV team, you will be developing this model so that it represents and codifies our best and most current understanding about the true lifetime value of 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 team
Customer Lifetime Value (CLtV) represents the value each customer brings to iwoca. This concept is central to our business, influencing decisions across every department.
The CLtV team is a small and versatile group of people who manage the CLtV model from the R&D stage all the way to deploying model releases into production. We manage data pipelines that enable the business to use our predictions in their day-to-day decision-making.
Our dynamic and autonomous environment emphasises on ‘getting things done’ and delivering high quality solutions. You can expect working closely with stakeholders, delivering solutions iteratively to incrementally add value, collecting and addressing feedback, and also providing support to the team and wider business.
The role
Your role as a Data Scientist in the CLTV team will involve growing and demonstrating your skills in several key areas, including but not limited to:
The function
iwoca's Data Scientists specialise in Supervised Machine Learning, Statistical Inference and Exploratory Statistics, focusing on tabular and time series data. Our work emphasises quantitative predictions through the analysis of conditional probabilities and expectations, using medium-sized datasets.
The requirements
Essential:
Ability to effectively communicate with stakeholders and downstream users of the model, and to maintain up-to-date and reliable documentation.
Strong problem-solving skills in probability and statistics.
Experience developing code collaboratively and implementing solutions in a production environment.
Proficiency with data manipulation and modelling tools — e.g., pandas, statsmodels, R.
Experience with scientific computing and tooling — e.g., NumPy, SciPy, Matlab, etc.
Self-driven with the capability to efficiently manage projects end-to-end.
Experience working on research projects, particularly those involving mathematical, statistical, or analytical modelling.
Bonus:
Experience building machine learning models from scratch (e.g., built your own optimiser).
Excellent knowledge of stochastic processes and related mathematical techniques.
Experience with Bayesian analysis.
Experience with Python. (Note: we mostly work in Python.)
Knowledge of financial concepts (e.g. calculations with deterministic cash flows).
The salary
We expect to pay from £70,000 - £100,000 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 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
Flexible working.
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, 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 emotional and mental health support.
3% Pension contributions and share options.
Generous parental leave and a nursery tax benefit scheme to help you save money.
Cycle-to-work scheme and electric car 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:
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