Mumbai, Maharashtra, India
Actively hiring, first seen by us 5 hours agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
- Financial services industry domain expertise, with comfort operating in complex, highly governed environments - Bachelor’s degree or equivalent practical experience in a relevant field (for example, Business, Computer Science, Information Systems, Engineering, Economics) Preferred qualifications, capabilities, and skills
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 0
Early. Similar jobs usually come down between day 8 and day 60.
At JPMorgan Chase, jobs usually come down by about day 15.
From 11,733 similar postings that came down, and 997 of JPMorgan Chase’s. Coming down is not always a hire.
354 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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Preferred qualifications, capabilities, and skills - Knowledge of cloud-based data platforms and technologies such as Amazon Web Services and Databricks - Experience with emerging data consumption tools and patterns, including self-service analytics enablement
- Experience translating complex financial data and controls constraints into clear product requirements and testable acceptance criteria - Familiarity with business intelligence tools and experience with Structured Query Language for data analysis and reporting
Complete your application on jpmc.fa.oraclecloud.com. The employer’s form will show what is required.
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New Data Scientist postings at the employers we follow are down 4% 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.
Unleash your expertise in product development and optimization by leveraging user research, analyzing metrics, and collaborating across one of the world’s most innovative financial organizations. Make a significant impact on business reporting and analytics by helping deliver data and artificial intelligence-enabled capabilities.
As a Senior Product Associate within Corporate and Investment Banking Planning and Analysis Data Transformation and Innovation, you contribute to the team by leveraging your expertise in product development and optimization to make a significant impact on business reporting and analytics. You will support product strategy and delivery for data and artificial intelligence-enabled capabilities, translating user needs into a prioritized backlog and actionable requirements. You will also partner across business, technology, and data teams to improve data consumption patterns and influence decision-making through analytics.
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Mumbai, Maharashtra, India
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