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JPMorgan Software Engineer III - Python 
India, Karnataka, Bengaluru 
819814557

29.05.2025

Job responsibilities

  • Lead the development and implementation of data science models to address business needs and optimize processes.
  • Quantify and accelerate the impact of SDLC and GenAI practices across CCB to drive innovation and enhance business performance.
  • Collaborate with cross-functional teams to identify opportunities for applying data science solutions to enhance product development and operational efficiency.
  • Conduct data modeling experiments, evaluate against baselines, and extract key statistical insights to inform business strategies.
  • Utilize large-scale data processing frameworks to extract value from structured and unstructured data.
  • Prepare and deliver presentations that incorporate compelling data narratives and storytelling to summarize sharp insights and conclusions for executives and stakeholders.
  • Mentor and provide oversight for junior data analysts to foster a collaborative and impactful working culture.

Required qualifications, capabilities, and skills

  • Bachelor's degree in Computer Science, Data Science, or a related field
  • At least 8 years of experience in programming languages like Python and applying data science techniques to solve business problems
  • Strong understanding of statistical techniques, including data mining, data transformations, text mining, and data visualization
  • Superior written and oral communication skills; ability to communicate effectively with all levels of management and partners from a variety of business functions.
  • Ability to be proactive, results-driven, and have a proven track record of execution
  • Demonstrates people management and team-building skills

Preferred qualifications, capabilities, and skills

  • Master's degree preferred in Computer Science, Data Science, or a related field
  • Experience in AI/ML applications and advanced analytics (e.g., regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization, NLP).
  • Familiarity with Financial Services or similar industries
  • Experience building ML models in a cloud environment and with Big Data Platforms such as Hadoop
  • Outstanding written/verbal communication and presentation skills
  • Comfort with ambiguity and proven ability to structure problems
  • Team-oriented collaborator