Senior Data Scientist, Customer Analytics (Fintech)

TL;DR

Senior Data Scientist (Fintech): Deepening understanding of customer behavior and driving commercial outcomes across Insurance, Pensions and Investments business with an accent on building data products and shaping recommendations to improve commercial performance. Focus on design, delivery and monitoring of modeling solutions.

Location: Must spend at least two days per week, or 40% of your time, at one of the Edinburgh or Leeds hubs.

Salary: £72,700pa to £88,800pa

Company

hirify.global is transforming and shaping finance for good, investing in technologies, workplaces, and colleagues.

What you will do

• Embody a proactive approach to insight generation, using data to seek answers and opportunities.
• Design, deliver, and monitor modeling solutions to enable communications, pricing, and reward optimizations.
• Apply a practical approach to experimentation - keeping solutions simple, explainable, and production ready.
• Build and maintain well‑structured datasets to support self-serve analytics and lifetime value modelling.
• Work collaboratively with Data, Finance, & Optimisation teams to unlock insights that drive engagement, retention, and growth objectives.
• Bring analysis to life through compelling narratives, combining quantitative evidence with commercial context to inform strategic decisions.

Requirements

• A numerate degree or equivalent experience, with strong confidence working with data and applied knowledge of a range of statistical modelling techniques.
• Strong programming skills in Python and SQL, including experience with common analytical libraries and data science methodologies.
• Good commercial awareness, with the ability to frame ambiguous problems and connect analytics to business decisions.
• A proactive mindset, with a track record of planning and delivering complex analytical projects independently.
• Clear communication skills, including the ability to develop and influence cross‑functional relationships.

Nice to have

• Familiarity with Insurance, Pensions and Investments data and customer metrics.
• Experience working with engineering teams to build model pipelines.
• Experience coaching or mentoring junior data scientists.

Culture & Benefits

• Inclusive environment that reflects modern society and celebrates diversity.
• Focus on ensuring people feel they belong and can be their best.
• Opportunities for reasonable adjustments to recruitment processes for candidates with disabilities.