Senior Product Data Scientist – Fintech

Senior Product Data Scientist

Location: London, Hybrid, three days on site

About the role:

As a Senior Product Data Scientist, you’ll work as part of a cross-functional team alongside product managers, designers, and software and analytics engineers, using data and your expertise to influence and drive the strategy of our products. You’ll help define how we measure the success of our products, collaborate with engineers on how we collect data, design and help build reports/dashboards, and run analyses to find product improvement opportunities. You’ll be a co-owner of a product, driving it to success in partnership with other cross-functional team members.

You’ll also be part of the broader data function, a team of Data Engineers, Analytics Engineers, Data Scientists, and Data Product Managers.

We’re a new but highly visible function within the Fintech client, so this is an exciting opportunity to drive a positive impact.

How you’ll make an impact

• You’ll be responsible for analytics of a product domain. You’ll define, measure, and present metrics, delivering actionable insights.
• Contribute to product roadmaps through data-based recommendations and continuously define high-impact areas for improvement.
• Work closely with Data Analytics Engineers and Software Engineers to ensure we collect and model the right data to produce relevant business insights.
• Foster a data culture across products and technology by actively sharing insights and ideas and building positive relationships with colleagues.
• Build experiments and analysis frameworks to quantify the ROI of product development.
• Lead by example within your team and the broader data community to apply best practices in analytics from data collection to analysis.

What we’re looking for:

• Strong communicator, able to explain complex technical topics to non-technical team members.
• Experience conducting experiments, building measurement frameworks, and validating the results with relevant quantitative methods.
• Strong analytical mind and demonstrable experience in converting ambiguous problems into structured and data-informed solutions.
• Excellent data interrogation skills with SQL.
• Knowledge of applied statistics (e.g., hypothesis testing, regression)