Data Scientist

Analyse complex enterprise data, find the patterns that matter and build the statistical models behind decisions banks actually act on.

What you’ll do

• Frame business problems as analytical ones, and be honest when the data cannot answer the question asked.
• Build, evaluate and iterate statistical and machine-learning models against real client data.
• Work directly with domain experts in banking, insurance and investment management to validate what the numbers mean.
• Communicate findings to people who will make decisions on them — clearly, with the uncertainty stated.
• Hand models to ML engineers in a state they can productionise, with evaluation and assumptions documented.

What we’re looking for

• Strong grounding in statistics, experimental design and the limits of both.
• Fluency in Python and SQL; comfort with the modern analysis stack.
• Experience taking an analysis from question to defensible conclusion, not just to a notebook.
• The judgement to say when a simpler model is the right answer.
• Financial-services or other regulated-domain experience is an advantage, not a requirement.