State Street

State Street

Posted via Workday

LLM Data Scientist, Senior Associate

Apply by Sep 9, 2026

Posted Sep 3, 2026

Role at a glance

Job function
AI & Data Large Language Model (LLM) Engineering Data Science
Salary
Not Disclosed
Location
Bangalore, India
Work arrangement
On-site
Employment
Full-time
Education
Bachelor's

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About the role

Original posting provided by State Street

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About the Role 

We are looking for a motivated and analytical professionals to join our GenAI Center of Excellence at State Street. This role is ideal for early-career professionals (0–7 years of experience) passionate about advancing large language model (LLM) capabilities through rigorous experimentation and applied research.  

You will contribute to the development, fine-tuning, and evaluation of cutting-edge AI models, working closely with senior team members to enhance our GenAI platform. 

Key Responsibilities 

  • Design and implement experiments and fine-tuning workflows (e.g., LoRA, QLoRA) using Python and popular ML frameworks under the guidance of senior data scientists. 
  • Support benchmarking and evaluation of LLMs, including performance analysis and anomaly detection. 
  • Assist in data curation, preprocessing, and preparation for model training and evaluation. 
  • Document experiment results, insights, and methodologies; maintain internal knowledge repositories. 
  • Participate in model review sessions, learning and applying state-of-the-art evaluation methodologies. 
  • Stay current with advances in generative models and contribute ideas to frontier model research. 

Required Qualifications 

  • Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or related technical field. 
  • 0–7 years of overall experience in IT and 3+ years of experience in applied machine learning/data science (including internships or academic research). 
  • Proficiency in Python programming and hands-on experience with ML frameworks such as PyTorch or TensorFlow. 
  • Basic understanding of LLM architectures, fine-tuning techniques, and Python-based model training pipelines. 
  • Familiarity with evaluation metrics for generative models and experience analyzing model results using Python. 
  • Familiarity with cloud AI/ML services (AWS, Azure, or GCP) and MLOps practices. 
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About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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State Street

About the company

State Street

Large Enterprise

State Street is a leading financial services and bank holding company, headquartered in Boston, Massachusetts. With a strong focus on investment management and servicing solutions, State Street supports institutional investors worldwide by providing services such as asset management, investment research, and trading. Renowned for its commitment to innovation and sustainability, State Street leverages advanced technology and data analytics to enhance investment strategies and customer experiences. The company prioritizes diversity and inclusion within its workforce, reflecting its dedication to fostering a dynamic and collaborative environment.