Data Scientist (Insurance Product)-Senior Associate

Job Description

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, hypothesis testing, predictive modeling, and experimental design for product and customer use cases
• Talented in data querying, transformation, and analysis using modern analytical tools and programming languages (Python and SQL)
• Demonstrated AI fluency, including ability to use AI tools effectively in day-to-day analytical work to accelerate insight generation and improve solution quality
• Competent leveraging data disualization tools such as Tableau
• Experience translating ambiguous business questions into structured analytical approaches and actionable recommendations
• Strong data storytelling capabilities, including communicating complex concepts to audiences of varying levels across business and technical functions
• Demonstrated ability to work in cross-functional environments, align stakeholders, and deliver high-quality outputs in a dynamic product setting
• Strong commitment to iterative development and measurable outcomes, with the ability to incorporate feedback and continuously improve analytical and AI-enabled solutions
• Demonstrated learning agility and curiosity to stay current on AI advances and apply them responsibly in a regulated environment

Preferred qualifications, capabilities, and skills:

• Insurance industry/product knowledge highly desired

• Experience supporting product analytics, product launch measurement, and experimentation in client-facing businesses

• Experience presenting analytical insights and recommendations to senior leaders and cross-functional decision-makers

• Familiarity with analytics approaches for customer journey optimization, lead management, and performance measurement frameworks

• Experience developing, testing, or scaling AI-enabled and agentic use cases in business workflows

• Experience partnering with product and technology teams to translate AI opportunities into practical, measurable outcomes

About Us

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our  FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

About the Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.