Data Scientist - Assistant Manager
At a glance
Manager-level Data Science role at Statestreet. Bangalore · full-time.
Pay not stated Data Scientist salary
dataroles summary, based on the employer's posting.
What you'll do
- Build experiments and model-tuning workflows with Python and machine-learning frameworks, with senior scientists guiding the work
- Test and compare large language models, examining their results and flagging unusual performance
- Prepare data for model training and evaluation through curation and preprocessing
- Record findings and methods, maintain internal knowledge resources, and take part in model reviews
- Track generative-model research and suggest ideas for work on frontier models
What you bring
- A bachelor’s degree in computer science, data science, statistics, mathematics or another related technical field
- Three to seven years of IT experience, including at least three years applying machine learning or data science
- Practical Python skills and experience using PyTorch, TensorFlow or another listed framework
- Working knowledge of LLM design, fine-tuning, model-training pipelines and generative-model evaluation
Who this fits
This role suits an early-career data scientist with applied machine-learning experience who wants to contribute to LLM experiments and evaluation under senior guidance. The work is on-premise.
From the employer
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
Read our CEO Statement
Data Science work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Science
Find me workBy the team behind dataroles.