Data Scientist, iwoca

• 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

Desirable

• 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
• 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
• 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:
• Model development
• Explore and integrate innovative modelling methods into our training pipeline to enhance the predictive power and flexibility of our model
• Take responsibility for the full lifecycle of the model, including training, validation, deployment, and performance monitoring
• Clearly communicate and explain any model changes to the business, ensuring transparency and fostering trust in the model's predictions
• Collaborate with Data Scientists and Analysts in other teams to ensure that our model predictions are appropriately utilised and interdependencies are accounted for
• Model-driven insights
• Utilise our modelling and analytics tools (and introduce new ones where appropriate) to uncover insights, such as customer behaviour patterns or the efficacy of new modelling techniques
• Effectively communicate these insights with the broader business to drive value by changing the way iwoca operates
• Project ownership and autonomy
• Independently develop data science solutions to address iwoca's business challenges, with increasing responsibility in solution design
• Maintain strong communications with stakeholders throughout your work to ensure that your solutions are pragmatically solving the business problem at hand and to get technical feedback for personal growth
• 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