Data Scientist (Insurance Product)-Senior Associate

JPMorgan Chase & Co. • New York, NY

1d • $114,000 - $170,000

About The Position

The Data Scientist will join the Small Business Data Product Analytics team and help build integrated, digital-led products for a leading financial services firm serving more than 8 million small business clients. The role partners across functions to establish product analytics foundations, develop scalable lead- and trigger-driven capabilities, and support testing and experimentation to improve measurable outcomes.

The position applies data science and AI to product performance, client engagement, and growth challenges. It includes using AI in day-to-day analysis and decision support, and identifying, prototyping, and scaling agentic use cases that improve analytical productivity, decision quality, and client outcomes. The successful candidate will help launch and evolve a significant growth opportunity in Business Banking, delivering insights and recommendations to stakeholders in a dynamic, regulated product environment.

Requirements

• Master’s or PhD in a related field, or a Bachelor’s degree with 3–5 years of 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 querying, transforming, and analyzing data with modern analytical tools and programming languages, including Python and SQL.
• Demonstrated AI fluency, including effective use of AI tools in day-to-day analytical work to accelerate insight generation and improve solution quality.
• Experience with data visualization tools such as Tableau, Sigma, or Adobe Analytics.
• Ability to translate ambiguous business questions into structured analytical approaches and actionable recommendations.
• Strong data storytelling skills, including communicating complex concepts to audiences across business and technical functions.
• Ability to work in cross-functional environments, align stakeholders, and deliver high-quality outputs in a dynamic product setting.
• Commitment to iterative development and measurable outcomes, including incorporating feedback and continuously improving analytical and AI-enabled solutions.
• Learning agility and curiosity to stay current on AI advances and apply them responsibly in a regulated environment.

Nice To Haves

• 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.

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 business problems related to product performance, client engagement, and growth outcomes.
• Deliver analytics end to end, 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 improve demand generation and client traffic sustainably and at scale.
• Establish 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 improvement opportunities and measurable value.
• Identify and develop high-value AI and agentic use cases to improve analytical productivity, decision quality, and client outcomes.

Benefits

• Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in the form of cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior