Data Scientist, Internal Audit

JPMorgan Chase & Co.

On-sitePosted August 4, 2026

About the role

JPMorgan Chase & Co. is seeking a Data Scientist for the Internal Audit Data Analytics team in Plano, Texas, United States. You will partner with audit stakeholders to turn promising ideas into development-ready prototypes, guiding concepts from problem framing through feasibility assessment and proof-of-concept development to hand-off to the product owner. You will combine leadership with deep technical expertise to help teams adopt innovative approaches to testing business and technology controls.

Data Scientist, Internal Audit

JPMorgan Chase & Co.

On-sitePosted August 4, 2026

About the role

JPMorgan Chase & Co. is seeking a Data Scientist for the Internal Audit Data Analytics team in Plano, Texas, United States. You will partner with audit stakeholders to turn promising ideas into development-ready prototypes, guiding concepts from problem framing through feasibility assessment and proof-of-concept development to hand-off to the product owner. You will combine leadership with deep technical expertise to help teams adopt innovative approaches to testing business and technology controls.

Responsibilities

Qualifications:

Evaluate and develop new analytics ideas aligned with audit priorities and organizational goals.
Facilitate stakeholder sessions to refine problem statements and confirm a shared understanding of needs.
Define expected benefits and gather empirical evidence to support proposals and prioritization.
Present findings and recommendations to decision-makers to support Go/No-Go decisions.
Lead feasibility work (environment setup, data acquisition, prototyping, results review) and iterate based on learnings.
Produce clear documentation and ensure effective hand-off of artifacts to the product owner for downstream delivery.
Promote collaboration, critical thinking, and experimentation; support teams in understanding data governance and required use-case approvals.
Demonstrated leadership and influencing skills across varied stakeholder groups.
Advanced knowledge of machine learning methods, deep learning frameworks, and natural language processing techniques.
Strong analytical and problem-solving skills to assess feasibility and tr

Responsibilities

Qualifications:

Evaluate and develop new analytics ideas aligned with audit priorities and organizational goals.
Facilitate stakeholder sessions to refine problem statements and confirm a shared understanding of needs.
Define expected benefits and gather empirical evidence to support proposals and prioritization.
Present findings and recommendations to decision-makers to support Go/No-Go decisions.
Lead feasibility work (environment setup, data acquisition, prototyping, results review) and iterate based on learnings.
Produce clear documentation and ensure effective hand-off of artifacts to the product owner for downstream delivery.
Promote collaboration, critical thinking, and experimentation; support teams in understanding data governance and required use-case approvals.
Demonstrated leadership and influencing skills across varied stakeholder groups.
Advanced knowledge of machine learning methods, deep learning frameworks, and natural language processing techniques.
Strong analytical and problem-solving skills to assess feasibility and tr

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