Data Scientist (Insurance Product)-Senior Associate

JPMorgan Chase; New York (NY); Sur place; USD 110 000 - 170 000; Plein temps

Résumé du poste

JPMorgan Chase is seeking a Data Scientist in the Small Business Data Product Analytics team to build AI-driven products and shape client experiences at scale. You will collaborate across product, design, strategy, risk, controls, and customer teams to drive analytical insights and decision-making for millions of small business clients.

The role emphasizes statistical methods, AI fluency, and experimentation to improve product performance, client engagement, and measurable value creation within

Qualifications

• Masters or PhD in a related field, or Bachelor’s with 3-5 years of 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 Python and SQL.
• Demonstrated AI fluency and ability to use AI tools effectively in day-to-day analytical work to accelerate insight generation.
• Experience leveraging data visualization tools such as Tableau, Sigma, Adobe Analytics.
• Ability to translate ambiguous business questions into structured analytical approaches and actionable recommendations.
• Strong data storytelling capabilities and cross-functional collaboration skills.

Responsabilités

• Collaborate with product, design, strategy, risk, controls, and customer teams to provide analytical support for Small Business product initiatives.
• Apply statistical methods and AI-assisted approaches to solve problems related to product performance and client engagement.
• Support end-to-end analytics delivery from problem framing through insight communication to senior stakeholders.
• Develop analytics approaches for lead and trigger capabilities to improve demand generation and client traffic.
• Partner cross-functionally to establish day-one measurements, tracking, KPI frameworks across multiple dimensions.
• Operationalize experimentation frameworks to evaluate product and journey enhancements and inform prioritization.
• Analyze client experience and journey outcomes, including AI-enabled discovery and servicing pathways, for measurable value creation.
• Identify and develop high-value AI and agentic use cases to improve productivity and outcomes.

Connaissances

Statistical analysis

Hypothesis testing

Predictive modeling

Experiment design

Python

SQL

AI fluency

Data storytelling

Cross-functional collaboration

Data visualization

Formation

Masters or PhD in a related field

Bachelor's degree with 3-5 years analytics experience

Master's degree in a related field (preferred)

Outils

Tableau

Sigma

Adobe Analytics

Description du poste

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.

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.