Mumbai, Maharashtra, India
Live, first seen by us 14 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Develop data science solutions in Python, from data exploration through model deployment
Automate research workflows for global teams using AI and LLMs
Work with research analysts to find data-driven insights and automation opportunities
Ensure integrity, accuracy and accessibility of data used for analysis and models
Evaluate emerging AI technologies for use in research
Develop applied data science solutions using Python, from problem framing and data exploration through model development, validation and deployment.
Automate workflows for global research teams using AI techniques, including Large Language Models (LLMs).
Collaborate with research analysts and stakeholders to identify opportunities for data-driven insights and automation.
Ensure the integrity, accuracy and accessibility of data used for analysis and model development.
Evaluate emerging AI and data science technologies for potential application within research.
1-5 years of experience working with AI and data science in the financial sector
Strong proficiency in Python, with hands-on experience using data manipulation libraries including Pandas and NumPy.
Understanding of supervised and unsupervised learning, deep learning and natural language processing.
Knowledge of model development, validation and evaluation techniques.
Bachelor’s degree or higher in Engineering, Data Science or a related field.
- Demonstrated ability to translate business problems into practical data science solutions. - Bachelor’s degree or higher in Engineering, Data Science or a related field. - Excellent communication, presentation, interpersonal and organizational skills.
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Day 14
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Join J.P. Morgan’s Global Research Center and help modernize research through applied AI, machine learning and data science, delivering innovative solutions that enhance research methodologies, workflows and outputs. As an Applied AI and Data Science Specialist within the Global Research Modernization team, you will be responsible for developing and implementing AI and data science solutions that enhance research methodologies and outputs. You will translate business problems into deployable data science solutions using Python, machine learning and Large Language Models (LLMs). You will collaborate with research analysts and stakeholders to identify opportunities for data-driven insights and workflow automation. You will support solutions from data exploration and model development through validation and deployment. You will ensure solutions adhere to appropriate data integrity, regulatory and model governance standards. Job Responsibilities
Job Responsibilities - Develop applied data science solutions using Python, from problem framing and data exploration through model development, validation and deployment. - Implement AI and data science strategies to enhance research methodologies and outputs.
- Strong hands-on knowledge of data science, artificial intelligence and machine learning concepts. - Strong proficiency in Python, with hands-on experience using data manipulation libraries including Pandas and NumPy. - Knowledge of model development, validation and evaluation techniques.
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Yes. We’ve followed one other Applied AI and Data Science Specialist – Global Research Modernization job there since May 2026. It is still up.
New Data Scientist postings at the employers we follow are down 6% over the last 6 weeks compared with the 6 before.
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.
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.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Join J.P. Morgan’s Global Research Center and help modernize research through applied AI, machine learning and data science, delivering innovative solutions that enhance research methodologies, workflows and outputs.
As an Applied AI and Data Science Specialist within the Global Research Modernization team, you will be responsible for developing and implementing AI and data science solutions that enhance research methodologies and outputs. You will translate business problems into deployable data science solutions using Python, machine learning and Large Language Models (LLMs). You will collaborate with research analysts and stakeholders to identify opportunities for data-driven insights and workflow automation. You will support solutions from data exploration and model development through validation and deployment. You will ensure solutions adhere to appropriate data integrity, regulatory and model governance standards.
Job Responsibilities
Required Qualifications, Skills and Capabilities
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Mumbai, Maharashtra, India
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