Applied AIML Data Scientist - Associate
JPMorganChase
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Jersey City, NJ
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Not Applicable
Posted March 30, 2026
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Responsibilities
Responsibilities
- Proactively develop understanding of key business problems and processes
- Develop GenAI and LLM solutions to solve business problems
- Execute tasks throughout a model development process including data wrangling/analysis, model training, testing, and selection.
- Generate structured and meaningful insights from data analysis and modelling exercise and present them in appropriate format according to the audience.
- Collaborate with other data scientists and ML engineers to deployment ML solutions.
- Carry out ad-hoc and periodic analysis as required by the business stakeholder, model risk function, and other groups.
Not Met Priorities
What still needs stronger evidence
Requirements
- Practical expertise with LLM projects as well as other supervised and unsupervised techniques.
- Proficient programming skills with Python, R, or other equivalent languages,
- Demonstrated experience working with large and complicated datasets.
- Experience with broad range of analytical toolkits, such as SQL, Spark, Scikit-Learn, and XGBoost.
- Excellent problem solving, communication (verbal and written), and teamwork skills.
- Experience with graph analytics and neural network (Tensorflow, Keras).
Preferred Skills
- Experience with graph analytics and neural network (Tensorflow, Keras).
- Experience working with engineering teams to operationalize ML models.
- Familiarity with the financial services industry.
- JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P.
- Morgan and Chase brands.
Education
- (Not required) – Advanced degree (MS) in a quantitative field (e.g., Data Science, Computer Science, Applied Mathematics, Statistics, and Econometrics)
Job Description
The Legal Applied AI/ML team in Corporate Technology at JPMorgan Chase focuses on solving challenging business problems such as semantic search, question answering, document analysis, automation of service inquiries through data science and ML techniques, particularly using GenAI and LLM tools and techniques. As an Applied AI ML Associate on the team, you will have the opportunity to study complex business problems and apply advanced algorithms to develop, test, and evaluate AI/ML applications or models for those problems.
You will work with the firm’s rich data pool from both internal and external sources using GenAI tools and frameworks, Python/Spark via AWS and other systems. You are also expected to derive business insights from technical results and be able to present them to non-technical audience.
Job Responsibilities
Proactively develop understanding of key business problems and processes
Develop GenAI and LLM solutions to solve business problems
Execute tasks throughout a model development process including data wrangling/analysis, model training, testing, and selection.
Generate structured and meaningful insights from data analysis and modelling exercise and present them in appropriate format according to the audience.
Collaborate with other data scientists and ML engineers to deployment ML solutions.
Carry out ad-hoc and periodic analysis as required by the business stakeholder, model risk function, and other groups.
Required Qualifications, Capabilities, And Skills
Advanced degree (MS) in a quantitative field (e.g., Data Science, Computer Science, Applied Mathematics, Statistics, and Econometrics)
Practical expertise with LLM projects as well as other supervised and unsupervised techniques.
Proficient programming skills with Python, R, or other equivalent languages,
Demonstrated experience working with large and complicated datasets.
Experience with broad range of analytical toolkits, such as SQL, Spark, Scikit-Learn, and XGBoost.
Excellent problem solving, communication (verbal and written), and teamwork skills.
Preferred Qualifications, Capabilities, And Skills
Experience with graph analytics and neural network (Tensorflow, Keras).
Experience working with engineering teams to operationalize ML models.
Familiarity with the financial services industry.
ABOUT US
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About The Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.
The Legal Applied AI/ML team in Corporate Technology at JPMorgan Chase focuses on solving challenging business problems such as semantic search, question answering, document analysis, automation of service inquiries through data science and ML techniques, particularly using GenAI and LLM tools and techniques. As an Applied AI ML Associate on the team, you will have the opportunity to study complex business problems and apply advanced algorithms to develop, test, and evaluate AI/ML applications or models for those problems.
You will work with the firm’s rich data pool from both internal and external sources using GenAI tools and frameworks, Python/Spark via AWS and other systems. You are also expected to derive business insights from technical results and be able to present them to non-technical audience.
Job Responsibilities
Proactively develop understanding of key business problems and processes
Develop GenAI and LLM solutions to solve business problems
Execute tasks throughout a model development process including data wrangling/analysis, model training, testing, and selection.
Generate structured and meaningful insights from data analysis and modelling exercise and present them in appropriate format according to the audience.
Collaborate with other data scientists and ML engineers to deployment ML solutions.
Carry out ad-hoc and periodic analysis as required by the business stakeholder, model risk function, and other groups.
Required Qualifications, Capabilities, And Skills
Advanced degree (MS) in a quantitative field (e.g., Data Science, Computer Science, Applied Mathematics, Statistics, and Econometrics)
Practical expertise with LLM projects as well as other supervised and unsupervised techniques.
Proficient programming skills with Python, R, or other equivalent languages,
Demonstrated experience working with large and complicated datasets.
Experience with broad range of analytical toolkits, such as SQL, Spark, Scikit-Learn, and XGBoost.
Excellent problem solving, communication (verbal and written), and teamwork skills.
Preferred Qualifications, Capabilities, And Skills
Experience with graph analytics and neural network (Tensorflow, Keras).
Experience working with engineering teams to operationalize ML models.
Familiarity with the financial services industry.
ABOUT US
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About The Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.