Data Scientist (Insurance Product)-Senior Associate

Are you passionate about applying data science and AI to build new products and shape client experiences at scale? If you enjoy solving complex business problems analytically, using AI in your day-to-day workflow, and influencing strategy for a growing line of business, then this opportunity is for you.

As a Data Scientist for Insurance Products on our Small Business Data and Analytics team, you'll have the opportunity to be at the forefront of building a best-in-class, integrated, digital-led P&C (Property & Casualty) Insurance business within a leading financial services brand, focused on deepening relationships with our more than 7 million small business clients.

You'll need to partner cross-functionally to establish product analytics foundations, develop scalable lead- and trigger-driven capabilities, and support testing and experimentation to improve measurable outcomes.

You will incorporate AI-native thinking, including practical application of AI in everyday analysis, decision support, and innovation, as well as a strong curiosity to identify, prototype, and scale new agentic use cases that improve product and client outcomes.

You'll need to be an avid learner with a growth mindset that's eager to apply data science and AI to help launch and evolve one of the most significant growth opportunities in Business Banking.

Job Responsibilities:

•Collaborate with product, strategy, risk, controls, operations, and customer teams to provide analytical support for Small Business Insurance initiatives and decision-making

• Apply statistical methods, data analysis, and AI-assisted approaches to solve business problems related to product performance, client engagement, and growth outcomes

• Support end-to-end analytics delivery, from problem framing and measurement design through insight generation and communication to senior stakeholders

• Develop and refine analytics approaches for lead and trigger capabilities that help improve demand generation and client traffic in a scalable, sustainable manner

• Partner cross-functionally to set up day-one measurements, including tracking, data quality, and KPI frameworks across financial, operational, controls, audit, and product dimensions.

• Operationalize experimentation frameworks to evaluate product and journey enhancements, quantify impact, and inform prioritization.

• Analyze client experience and journey outcomes, including AI-enabled discovery and servicing pathways, to identify opportunities for improvement and measurable value creation

• Identify and develop high-value AI and agentic use cases that can improve analytical productivity, decision quality, and client outcomes

Required qualifications, capabilities, and skills:


* Bachelor's degree in quantitative field (Computer Science, Engineering, Operations Research, Statistics, Economics, or related discipline) and 3 years of experience in advanced analytics roles


* Strong proficiency in statistical analysis, hy...