Data Scientist - Assistant Manager
State Street is hiring a Data Scientist - Assistant Manager in Bengaluru, India. Level rates it ; you can apply on State Street.
Level's read on this job
- Level rates this data scientist role Builds AI ●●●●: the job is building AI systems.
- The posting mentions PyTorch, TensorFlow and RAG among its tools and skills.
- Level classes it as a senior role.
- State Street has 1,300+ other open roles on Level.
- Posted in the last few days.
AI in this role
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 (5–7 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.
- 5–7 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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How we rate this
Data Scientist - Assistant Manager at State Street rates 98 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data scientist jobs at this level
Pay
- Typical data scientist job
- $166k
This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- How do you monitor a model once it's live, and how do you know it needs retraining?
- How do you decide that one model's output is better than another's for a given task?
- Walk me through how you've used PyTorch in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: RAG, Fine-tuning, ML Ops, AI Evaluation, and PyTorch. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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