Data Scientist, Senior Associate

State Street; Bengaluru; On-site; INR 900,000 - 1,400,000; Full time

Job summary

State Street is seeking motivated, analytical professionals to join the GenAI Center of Excellence in Bengaluru. This early-career role targets candidates with 0–7 years in IT and at least 3+ years in applied ML/data science, focusing on advancing LLM capabilities through rigorous experimentation.

You will contribute to development, fine-tuning, and evaluation of cutting-edge AI models, collaborating with senior data scientists to enhance our GenAI platform.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or related technical field.
• 0–7 years of overall IT experience with 3+ years in applied ML/data science (including internships or academic research).
• Proficiency in Python and ML frameworks such as PyTorch or TensorFlow.

Responsibilities

• Design and run experiments and fine-tuning workflows (LoRA, QLoRA) using Python and ML frameworks.
• 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 knowledge repositories.

Skills

Python

PyTorch

TensorFlow

LoRA/QLoRA

Cloud ML

MLOps

Education

Bachelor's degree in Computer Science/Data Science

Tools

AWS

Azure

GCP

Job description

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.

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.

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.

Discover more information on jobs at StateStreet.com/careers

Read our CEO Statement