Data Scientist Lead

JPMorganChase is one of the oldest financial institutions offering innovative financial solutions to consumers, businesses and prominent corporate, institutional and government clients.
Machine Learning
Senior Software Engineer
In-Person
5+ years of experience
AI · Finance

Description For Data Scientist Lead

As a Senior Data Scientist Associate at JPMorgan Chase within the Asset and Wealth Management Technology team, your role will be instrumental in transforming the operating model for the Wealth Management business through state-of-the-art Language Modelling projects. Your primary responsibilities will include prompt engineering for Large Language Models (LLMs), and aiding in the development and deployment of prompt-based models for various Natural Language Processing tasks such as text classification, question answering, and language generation. You will have the opportunity to work with a vast array of financial and market data, including unique datasets, to shape the experiences of our clients and employees worldwide. As part of a world-class analytics community, you will have ample opportunities for skill development and career growth in analytics, data science, machine learning, and beyond.

The role requires expertise in prompt engineering, NLP, and deep learning, with a focus on implementing and optimizing Large Language Models for financial services applications. You'll be working with cutting-edge AI technology while collaborating with cross-functional teams to deliver impactful solutions. The position offers growth opportunities in a dynamic environment at one of the world's leading financial institutions.

JPMorgan Chase values diversity and innovation, making it an ideal place for talented data scientists to make their mark. The role combines technical expertise with business impact, offering the chance to work on meaningful projects that shape the future of financial services through AI and machine learning applications.

Last updated 10 hours ago

Responsibilities For Data Scientist Lead

  • Design, deploy and manage prompt-based models on LLMs for various NLP tasks
  • Conduct research on prompt engineering techniques
  • Collaborate with cross-functional teams
  • Effectively communicate technical concepts
  • Build and maintain data pipelines
  • Develop and maintain tools and framework for prompt-based model training
  • Analyze and interpret data to evaluate model performance

Requirements For Data Scientist Lead

Python
  • 5+ years applied experience in software engineering
  • Experience in NLP and deep learning with exposure to prompt engineering on LLMs
  • Experience with prompt design and implementation
  • Programming skills in Python with PyTorch or TensorFlow experience
  • Knowledge of deep learning concepts
  • Experience in data pre-processing and analysis
  • Excellent problem-solving and communication skills
  • Knowledge of deployment processes and GIT
  • Familiarity with data structures and algorithms
  • Experience with MLOps tools and practices

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