Senior Data Science & Analytics Lead (Fintech)

TL;DR

Senior Data Science & Analytics Lead (AI/Data Science): Evolving the data function into an AI-enabled capability to drive decision-making, operational efficiency, and risk management with an accent on predictive modeling and AI adoption. Focus on transitioning experimental solutions into scalable production, coaching analysts, and partnering with senior stakeholders.

Location: Flexible, with required travel to the Swindon office (UK)

Company

hirify.global is a global insurance corporation with over 65,000 employees committed to sustainability, inclusion, and responsible business impact.

What you will do

• Lead and coach a team of analysts, maturing their AI and advanced analytics capabilities through hands-on delivery.
• Partner with senior stakeholders to translate complex business questions into actionable analytical approaches and automated decisioning.
• Design and deliver advanced data science solutions, including predictive insights and trend analysis.
• Oversee the responsible use of AI and GenAI to automate insight generation and repeatable MI processes.
• Manage the transition of prototypes and PoCs into robust, scalable BAU solutions in collaboration with Data Engineering and Architecture.
• Establish standards for documentation, validation, and experimentation frameworks (e.g., A/B testing).

Requirements

• Experience applying advanced analytics or data science within Financial Services or similarly regulated environments.
• Proven ability to lead and develop analysts while remaining technically credible.
• Hands-on experience building and deploying predictive or statistical models in a business environment.
• Proficiency in Python, SQL, and Power BI, including automation of data workflows.
• Experience designing and applying experimentation techniques (e.g., hypothesis testing).
• Experience with structured delivery practices using Azure DevOps or equivalent.

Nice to have

• Experience scaling data science capability within a large function.
• Exposure to cloud-based data platforms such as Snowflake, AWS, or Azure.
• Experience applying GenAI techniques for business automation or decisioning.
• Strong understanding of data governance and regulatory considerations in Financial Services.

Culture & Benefits

• Flexible working arrangements, including part-time, job-share, and compressed hours.
• 12% defined non-contributory pension scheme and annual company bonus.
• Private medical insurance, virtual GP appointments, and discounted gym membership.
• 28 days holiday plus bank holidays, with an option to buy up to 20 additional days.
• Up to 16 weeks full pay for maternity, paternity, and adoption leave.
• Three days of paid volunteering per year.