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Data Scientist - Assistant Manager

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Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

We are looking for a motivated and analytical professionals to join our GenAI Center of Excellence at State Street.

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.

  • Design and run experiments and fine-tuning workflows (e.g., LoRA, QLoRA) in Python

  • Support benchmarking and evaluation of LLMs, including performance and anomaly analysis

  • Assist with data curation and preprocessing for model training and evaluation

  • Document experiment results, insights, and methodologies in internal repositories

  • Take part in model review sessions and apply evaluation methods

From the employer’s posting
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 (7-10 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.
Design and implement experiments and fine-tuning workflows (e.g., LoRA, QLoRA) using Python and popular 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 internal knowledge repositories.
Participate in model review sessions, learning and applying state-of-the-art evaluation methodologies.

What you’ll bring

All qualifications

Core experience

  • Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or related technical field.
  • 3–7 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.
  • 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.
Qualification wording
Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or related technical field.
3–7 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.
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.
Education & alternatives
Required Qualifications - Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or related technical field. - 3–7 years of overall experience in IT and 3+ years of experience in applied machine learning/data science (including internships or academic research).

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability.

In the employer’s words · Read in context

Apply at State Street

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 3, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 7 and day 55.

From 9,971 similar postings that came down. Coming down is not always a hire.

State Street is hiring

66 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down at a usual pace
  • 2% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • AWS
  • Azure
  • GCP
  • PyTorch
  • TensorFlow
Where the posting names them
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.
- 3–7 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.
- 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.
- 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.
Keywords Data Scientist, Generative AI, LLM, Applied Machine Learning, RAG, Agentic Applications, Python, Azure, Model Evaluation About State Street
- 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. Work Schedule

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Has State Street posted this job before?

Yes. We’ve followed 2 other Data Scientist - Assistant Manager jobs there since August 2026. One came down after 0 days. One is still up.

  1. HyderabadCame down after 0 days, first seen Aug 11
  2. BengaluruStill up after 9 days, first seen Oct 26
  3. This jobUp 1 day so far, first seen Nov 3

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Senior Associate – Data Scientist

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 (7-10 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.
  • 3–7 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.

Work Schedule

On-premise

Keywords

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.


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


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Location & working pattern

Bangalore, India

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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

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