Data Scientist - Senior Manager

State Street; Bengaluru; On-site; INR 700,000 - 1,200,000; Full time

Job summary

State Street in Bengaluru is seeking an experienced Data Scientist to join the AI/ML Science team. You will drive applied research for the Agentic AI platform, focusing on LLMs, graph-based reasoning, model evaluation, fine-tuning, and production-scale deployments.

You will own domain-specific workstreams, collaborate with Platform Engineering and SRE, and help design robust evaluation frameworks, embeddings, and inference engines for semantic search and reasoning.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, ML or related field.
• 5+ years total IT experience and 3+ years in applied ML or NLP with production exposure.
• Strong experience with LLMs, GenAI, or NLP including fine-tuning and evaluation.
• Proficiency in Python and ML libraries (PyTorch, TensorFlow, Scikit-learn).
• Experience with graph databases (e.g., Neo4j), knowledge graphs, and vector stores.
• Familiarity with cloud AI/ML services and MLOps practices.
• Strong communication and cross-functional collaboration skills.
• Prior work on agentic AI is a big plus

Responsibilities

• Own BU-specific AI/ML problem statements and objectives to deliver value leveraging agentic AI workflows and domain specific LLM solutions.
• Lead foundational and domain model evaluation, fine-tuning, and prompt optimization with robust data curation and governance.
• Design and implement evaluation frameworks, taxonomies, and metrics for model benchmarking and anomaly detection.
• Build and maintain knowledge graphs, embeddings, and inference engines to enable semantic search, reasoning, and scalable serving.
• Collaborate with engineering teams to deploy scalable AI solutions in production environments.
• Conduct experiments, analyze results, and communicate findings and best practices across teams.
• Stay abreast of the latest advancements in generative AI, LLMs, and agentic systems.

Skills

LLMs / GenAI

NLP

Python

PyTorch

TensorFlow

Scikit-learn

Graph databases

Knowledge graphs

Vector stores

Cloud platforms

MLOps

Cross-functional collaboration

Education

Bachelor's or Master's in Computer Science / Data Science / ML or related field

Tools

Neo4j

DGL

FAISS

Vector stores

PyTorch

TensorFlow

Job description

Officer - Data Scientist

About the Role

We are seeking a highly motivated and technically skilled Data Scientist to join our AI/ML Science team as part of the Agentic AI platform initiative. The Science pillar drives advancements in LLM research, fine-tuning, evaluation frameworks, anomaly detection, and next-generation model development, partnering closely with Platform Engineering, SRE, and Pods/Business Engagement to deliver robust agentic solutions and platform features. In this role, you will drive applied research and product-oriented data science within the Agentic AI platform initiative. Independently own domain-specific model evaluation, fine-tuning, and operationalization workstreams. This role requires deep technical skills in LLMs, graph-based reasoning, and production-scale AI deployments, as well as the ability to collaborate across engineering, product, and business teams.

Key Responsibilities

• Own BU specific AI/ML problem statements and objectives to deliver value leveraging agentic AI workflows and domain specific LLM solutions.
• Lead foundational and domain model evaluation, fine-tuning, and prompt optimization with robust data curation and governance.
• Design and implement evaluation frameworks, taxonomies, and metrics for model benchmarking and anomaly detection.
• Build and maintain knowledge graphs, embeddings, and inference engines to enable semantic search, reasoning, and scalable serving.
• Collaborate with engineering teams to deploy scalable AI solutions in production environments.
• Conduct experiments, analyze results, and communicate findings and best practices across teams.
• Stay abreast of the latest advancements in generative AI, LLMs, and agentic systems.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field.
• 5+ years of overall experience in IT and 3+ years of relevant experience in applied machine learning or NLP, with hands-on work in production environments.
• Strong experience with LLMs, GenAI, or NLP, including fine-tuning and evaluation.
• Proficiency in Python and ML libraries (PyTorch, TensorFlow, Scikit-learn).
• Experience with graph databases (e.g., Neo4j, DGL), knowledge graphs, and vector stores.
• Familiarity with cloud AI/ML services (AWS, Azure, or GCP) and MLOps practices.
• Strong communication and cross-functional collaboration skills.
• Prior work on agentic AI is a big plus

Work Schedule

On-premise

Keywords

Senior Data Scientist, Generative AI, LLM, Applied Machine Learning, RAG, Agentic Applications, Python, Azure, Model Evaluation

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.

Equal Opportunity Employer

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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