Senior Data Scientist

at  iwoca

THE REQUIREMENTS

Essential:

• Ability to dive deep into the business context and translate data into actionable insights.
• Strong problem-solving skills in probability and statistics.
• Understanding of experimental design.
• Proficiency with data manipulation and modelling tools, e.g. pandas, statsmodels, R.
• Self-driven with the capability to efficiently manage projects end-to-end.

Bonus:

• Python experience (we mostly work in Python).
• Experience with Pandas, NumPy, SciPy, R, Matlab, and/or SQL.
• Experience with Bayesian analysis.
• Experience using machine learning techniques
• Experience with modelling credit risk or other topics in mathematical finance (e.g., pricing).
• Numerate academic background, e.g. in Engineering, Mathematics, Physics, or similar.

Strategy and innovation:

• Work closely with the Repeats team lead, and the Tech leads to identify opportunities within the customer journey.
• Quantify the opportunities based on past data or modelled assumptions to inform decisions regarding our lending strategy.
• Design experiments to compare the performance of different strategies and evaluate them rigorously to make unbiased decisions.
• Help to automate parts of the user journey.

Ownership and influence:

• Own our monitoring and data pipelines, covering all aspects of the user journey and getting us the correct data to make decisions.
• Collaborate with other teams to ensure alignment in methodology across iwoca.
• Move towards a more modelling approach by applying advanced statistical techniques and machine learning to improve predictive accuracy, optimise decision-making, and better understand customer behaviour.

Responsibility and autonomy:

• Promote analytical rigour within the team, ensuring that our experimental designs are correctly defined and that we evaluate tests without bias.
• Develop an acute understanding of the Repeat customers funnel, knowing what fields to use to understand how customers evolve in our complex environment.
• Independently build data science solutions to iwoca’s business problems and be on a trajectory with increasing responsibility in solution design.