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Applied AI ML - Senior Associate

London, London, United Kingdom

Live, first seen by us 64 days ago
Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Design, develop, test, and deploy AI and machine learning solutions for workforce challenges

  • Run statistical analyses, experiments, and model evaluations to produce recommendations

  • Contribute to model factories and evaluation frameworks

  • Apply agentic and evaluation-driven development approaches to speed up delivery

  • Translate business requirements into analytical solutions with measurable outcomes

From the employer’s posting
Design, develop, test, and deploy AI and machine learning solutions that address workforce and business challenges
Conduct statistical analyses, experiments, and model evaluations to generate actionable insights and recommendations
Contribute to model factories and evaluation frameworks that improve model quality, scalability, and operational efficiency
Apply agentic, specification-driven, and evaluation-driven development approaches to accelerate solution delivery
Partner with business stakeholders to translate requirements into analytical solutions and measurable outcomes
Education & alternatives
Required Qualifications, Capabilities, and Skills: - Bachelor’s degree in AI, Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative discipline - Experience developing and deploying machine learning or AI solutions using modern tools and techniques
Apply at JPMorgan Chase

Posting record

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Status in our records
Live
First seen by us
Sep 8, 202664 days ago
Recorded sightings
198
Last seen by us
Nov 11, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 64

Up longer than most. Similar jobs usually come down between day 8 and day 59.

Well past JPMorgan Chase’s usual: its jobs come down by about day 15.

From 11,357 similar postings that came down, and 961 of JPMorgan Chase’s. Coming down is not always a hire.

JPMorgan Chase is hiring

366 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring has slowed
  • Takes jobs down at a usual pace
  • 3% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
Where the posting names them
- Experience with statistical analysis, experimentation, and model evaluation methodologies - Proficiency in Python, SQL, and data science tooling used in enterprise environments - Strong analytical, problem-solving, and communication skills

Your next step

Complete your application on jpmc.fa.oraclecloud.com. The employer’s form will show what is required.

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About JPMorgan Chase

People
About 318,512 in 2025.Annual report (SEC Form 10-K)
Company
Listed as JPM.
Layoff notices
Notices this year and last cover 152 people. The latest was filed March 23, 2026.State WARN notices

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 6% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,408, the most 2,964, and the latest week had 2,126.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Join us in redefining how artificial intelligence accelerates business impact. As an AI & Data Scientist, you have the opportunity to shape the future of workforce analytics and drive meaningful change. You’ll collaborate with talented colleagues, leverage cutting-edge tools, and contribute to a pioneering operating environment. We invest in your growth, offering hands-on experience and the chance to make a real difference. Your expertise will help us deliver faster, smarter solutions that empower our organization.


As an AI & Data Scientist in the HR Data & Analytics team, you will apply advanced analytics, machine learning, and artificial intelligence techniques to transform workforce data into actionable insights and solutions. You will partner with business leaders, product teams, and technologists to develop models, evaluate outcomes, and deliver AI-powered capabilities that support evidence-based workforce decisions. You will contribute to building an artificial-intelligence-native operating environment, focusing on model factories, evaluation frameworks, and agentic engineering tools. Your work will help accelerate the delivery of innovative AI solutions within a regulated environment.

 

Job Responsibilities:

  • Design, develop, test, and deploy AI and machine learning solutions that address workforce and business challenges
  • Conduct statistical analyses, experiments, and model evaluations to generate actionable insights and recommendations
  • Contribute to model factories and evaluation frameworks that improve model quality, scalability, and operational efficiency
  • Apply agentic, specification-driven, and evaluation-driven development approaches to accelerate solution delivery
  • Partner with business stakeholders to translate requirements into analytical solutions and measurable outcomes
  • Collaborate with technology teams to build scalable, reliable, and secure analytics and AI products
  • Identify opportunities to reduce costs, improve controls, enhance employee experiences, and expand organizational capabilities through data-driven solutions
  • Support adoption of reusable methodologies, tools, and vendor capabilities where appropriate
  • Communicate findings and recommendations clearly to technical and non-technical audiences
  • Ensure adherence to all applicable risk, control, and governance requirements

 

Required Qualifications, Capabilities, and Skills:

  • Bachelor’s degree in AI, Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative discipline
  • Experience developing and deploying machine learning or AI solutions using modern tools and techniques
  • Working knowledge of large language models, agentic frameworks, or generative AI technologies
  • Experience with statistical analysis, experimentation, and model evaluation methodologies
  • Proficiency in Python, SQL, and data science tooling used in enterprise environments
  • Strong analytical, problem-solving, and communication skills
  • Ability to manage multiple priorities and deliver results in a collaborative environment

 

Preferred Qualifications, Capabilities, and Skills:

  • Advanced degree in a quantitative discipline
  • Experience building automated machine learning or model evaluation workflows
  • Experience with AI, machine learning, or analytics solutions in a regulated environment
  • Familiarity with cloud-based data and analytics platforms
  • Experience collaborating across business, product, and technology teams

 

#HRCDAO

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London, London, United Kingdom

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