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Data Scientist Associate Senior

9 - 10 years

18 - 20 Lacs

Posted:21 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

We have an exciting opportunity for you to leverage AI/ML to deliver actionable insights across the Card business.

As a Data Science Senior Associate within the Card Data and Analytics team, you will leverage your skills and experience in building insights from advanced analytics, Gen AI/LLM tools, and data querying to support our Credit Card business. This role combines consulting know-how, analytical proficiency in statistics, data science, machine learning/AI, proficiency in SQL/Python programming, and visualization methods.

Job Responsibilities

  • Uncover novel use cases of Big Data analytics for the Credit Card business.
  • Drive data science/AIML use case development supporting the Card business.
  • Help partners define business problems and scope analytical solutions.
  • Build an understanding of the problem domain and available data assets.
  • Research, design, implement, and evaluate analytical approaches and models.
  • Perform ad-hoc exploratory statistics, data mining, and model testing.
  • Investigate data visualization techniques for conveying key findings.

Required Qualifications, Capabilities, and Skills

  • Bachelor s degree in a relevant quantitative field and 6+ years of data analytics experience or advanced degree in an analytical field.
  • Exceptional analytical, quantitative, problem-solving, and communication skills.
  • Demonstrated intellectual curiosity for solving business problems.
  • Excellent leadership, consultative partnering, and collaboration skills.
  • Knowledge of statistical software packages (e. g. , Python, R, SAS) and data querying languages (e. g. , SQL).
  • Experience with modern data science tools (e. g. , OpenAI, SQL, Spark, Python).

Preferred Qualifications, Capabilities, and Skills

  • Understanding of key drivers within the credit card P&L.
  • Financial services background preferred.
  • M. S. equivalent preferred.

We have an exciting opportunity for you to leverage AI/ML to deliver actionable insights across the Card business.

As a Data Science Senior Associate within the Card Data and Analytics team, you will leverage your skills and experience in building insights from advanced analytics, Gen AI/LLM tools, and data querying to support our Credit Card business. This role combines consulting know-how, analytical proficiency in statistics, data science, machine learning/AI, proficiency in SQL/Python programming, and visualization methods.

Job Responsibilities

  • Uncover novel use cases of Big Data analytics for the Credit Card business.
  • Drive data science/AIML use case development supporting the Card business.
  • Help partners define business problems and scope analytical solutions.
  • Build an understanding of the problem domain and available data assets.
  • Research, design, implement, and evaluate analytical approaches and models.
  • Perform ad-hoc exploratory statistics, data mining, and model testing.
  • Investigate data visualization techniques for conveying key findings.

Required Qualifications, Capabilities, and Skills

  • Bachelor s degree in a relevant quantitative field and 6+ years of data analytics experience or advanced degree in an analytical field.
  • Exceptional analytical, quantitative, problem-solving, and communication skills.
  • Demonstrated intellectual curiosity for solving business problems.
  • Excellent leadership, consultative partnering, and collaboration skills.
  • Knowledge of statistical software packages (e. g. , Python, R, SAS) and data querying languages (e. g. , SQL).
  • Experience with modern data science tools (e. g. , OpenAI, SQL, Spark, Python).

Preferred Qualifications, Capabilities, and Skills

  • Understanding of key drivers within the credit card P&L.
  • Financial services background preferred.
  • M. S. equivalent preferred.

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JPMorgan Chase Bank
JPMorgan Chase Bank

Financial Services

New York

250,000+ Employees

982 Jobs

    Key People

  • Jamie Dimon

    Chairman and CEO
  • Jennifer Piepszak

    Chief Financial Officer

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