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, in the Small Business Data Product Analytics team, you have the opportunity to help build a best-in-class, integrated, digital-led products within a leading financial services firm, focused on deepening relationships with more than 8 million small business clients. You will 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 the practical application of AI in everyday analysis, decision support, and innovation, as well as the curiosity to identify, prototype, and scale new agentic use cases that improve product and client outcomes. You are an avid learner with a growth mindset, 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, design, strategy, risk, controls, and customer teams to provide analytical support for Small Business product 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 establish day-one measurements, including tracking, data quality, and key performance indicator (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

• Masters or PhD in a related field, or Bachelors with 3- 5 years' experience in a related discipline. 3-5 years of related Analytics experience.
• Strong proficiency in statistical analysis, text mining, hypothesis testing, predictive modeling, and experimental design for product and customer use cases.
• Experience in data querying, transformation, and analysis using modern analytical tools and programming languages, including Python and SQL.
• Demonstrated AI fluency, including the ability to use AI tools effectively in day-to-day analytical work to accelerate insight generation and improve solution quality.
• Experience leveraging data visualization tools such as Tableau, Sigma, Adobe Analytics
• Experience translating ambiguous business questions into structured analytical approaches and actionable recommendations.
• Strong data storytelling capabilities, including communicating complex concepts to audiences at 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

• Master’s degree in a related field.
• 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.

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. 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