📋 Job Details at a Glance 📍 Location Bangalore, India 🏢 Company State Street 👥 Experience 5+ years 🎓 Qualification 5+ years. Hands-on with Python, AWS, GCP, Azure, TensorFlow, PyTorch, AI / LLM agents. Relevant technical / engineering background 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python AWS GCP Azure TensorFlow PyTorch AI LLM agents Data Scientist - Senior Manager at State Street — Full Details & How to Apply State Street is seeking a Data Scientist - Senior Manager in Bangalore, India to lead domain-specific model evaluation and fine-tuning. This role directly involves applied research and product-oriented data science using TensorFlow, PyTorch, and AI / LLM agents within the Agentic AI platform initiative. This Data Scientist - Senior Manager role is critical for advancing LLM research and operationalizing AI solutions through hands-on work with Python, AWS, GCP, Azure . The position focuses on developing robust agentic solutions and platform features via technical model evaluation and fine-tuning, ensuring real-world applicability of AI-driven systems. The job posting specifies that State Street is recruiting for a senior-level data science role with a focus on technical execution. The role requires 5+ years of experience and a relevant technical / engineering background . Candidates must have hands-on experience with Python, AWS, GCP, Azure, TensorFlow, PyTorch, AI / LLM agents . This is part of State Street recruitment in the technology domain for Bangalore, India jobs. 2023, 2024, 2025, 2026 graduates are eligible. Applicants must have 5+ years. Hands-on with Python, AWS, GCP, Azure, TensorFlow, PyTorch, AI / LLM agents. Relevant technical / engineering background and 5+ years experience . The salary is Not Disclosed . Applicants will gain direct experience with Python , AWS , GCP , Azure , TensorFlow , PyTorch , and AI / LLM agents . This role offers a clear progression path into senior technical leadership within a platform-driven AI environment, with exposure to applied research and product development. 📊 Role Difficulty: Medium | Competition Level: High | Fresher Friendly: No NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Explore more Data Scientist - Senior Manager jobs and Bangalore, India jobs through State Street recruitment . Job Role & Responsibilities The Data Scientist - Senior Manager at State Street is responsible for defining and executing AI/ML problem statements across business units using agentic AI workflows , with direct ownership of model performance and deployment outcomes in production-scale environments . Own business unit-specific AI/ML problem statements and objectives using agentic AI workflows to define measurable outcomes and technical feasibility. Lead foundational model evaluation and domain-specific fine-tuning using TensorFlow and PyTorch to validate performance against precision, recall, and F1-score metrics. Collaborate with Platform Engineering and business stakeholders to deploy cloud-based AI solutions on AWS, GCP, or Azure with defined SLAs and uptime. Design and implement evaluation frameworks for data curation, including data quality metrics such as completeness, consistency, and anomaly detection. Independently manage operationalization workstreams for domain-specific models on AWS or Azure , including model versioning and monitoring via CloudWatch or Azure Monitor . Document end-to-end AI/ML workflows including data pipelines, training loops, and deployment steps using Git-based version control and MLflow logging. Troubleshoot and resolve production-level failures in AI deployments on TensorFlow or PyTorch models, with focus on latency, error rates, and drift detection . Implement prompt optimization strategies for LLM agents to improve response accuracy and reduce hallucination rates in financial risk scenarios. This role demands full ownership of the end-to-end AI lifecycle , from problem definition to production deployment , with direct impact on model performance and business outcome metrics . Required Skills & Technical Competencies The Data Scientist - Senior Manager must possess a strong technical foundation in Python , AWS , GCP , Azure , TensorFlow , PyTorch , and AI/LLM agents to execute complex, scalable AI solutions in financial technology environments. Technical Skills Python — advanced — used for implementing end-to-end AI/ML pipelines , including data preprocessing, model training, and deployment automation. AWS — advanced — used for deploying and managing production AI models on EC2, SageMaker, and S3 with cost and performance monitoring . GCP — intermediate — used for hosting AI/ML workloads on Vertex AI and managing data pipelines via Dataflow and BigQuery . Azure — intermediate — used for deploying deep learning models on Azure Machine Learning and managing model registry and pipelines . TensorFlow — advanced — used for building and training production-grade machine learning models with custom layers and distributed training . PyTorch — advanced — used for developing deep learning architectures and conducting research-level model experimentation . AI / LLM agents — advanced — used to design and deploy autonomous agents that perform financial risk analysis and decision-making tasks in real-time. When showcasing these skills, emphasize specific projects where you used TensorFlow or PyTorch to train models, deployed them on AWS or Azure , and measured performance improvements using precision, recall, or F1-score metrics. Eligibility Criteria This role is designed for candidates with a relevant technical or engineering background , including data science, computer science, or engineering degrees , and at least 5 years of hands-on experience in AI/ML development. Must hold a degree in Computer Science, Data Science, Engineering, or a related field with a minimum CGPA of 3.0 or equivalent. Eligible only for 2023, 2024, 2025, and 2026 batches. Minimum of 5 years of professional experience in AI/ML development using Python, TensorFlow, or PyTorch . Must demonstrate hands-on experience with cloud platforms such as AWS, GCP, or Azure in real-world projects. Portfolio must include at least three AI/ML projects with measurable outcomes, such as accuracy improvements or deployment success on cloud platforms. Must have direct experience with agentic AI workflows or LLM agent design in any domain, including finance or risk analysis. Documentation & Portfolio Requirements Your resume must include a clear project section with specific tools used (e.g., TensorFlow, AWS SageMaker ) and measurable outcomes such as improvement in F1-score or latency reduction . Include a detailed project where you used PyTorch or TensorFlow to build a model, deployed it on AWS or Azure , and evaluated it using precision, recall, or F1-score — this is the key evidence of technical competence for this role. Salary for Data Scientist - Senior Manager at State Street 💰 Compensation Not Disclosed The advertised compensation for the Data Scientist - Senior Manager role at State Street is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Data Scientist - Senior Manager Upskilling with the right resources significantly enhances your chances of selection for this specialized role, ensuring you meet the technical requirements effectively. Recommended Courses & Resources Python — Essential for data manipulation and analysis in this role. AWS — Crucial for deploying machine learning models in cloud environments. GCP — Important for leveraging Google’s tools for data science projects. Azure — Key for utilizing Microsoft’s cloud services in data solutions. KodNest — Provides hands-on experience with AI and ML applications. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating experience in Python or cloud technologies — Provide specific examples in your application. ❌ Using a generic resume instead of tailoring it to the job responsibilities outlined in the posting — Customize your resume for this specific role. ❌ Listing technologies like TensorFlow without detailing their application in past projects — Include concrete examples of your work. ❌ Ignoring the requirement for over 5 years of experience and applying without meeting this criterion — Ensure you meet the experience requirement before applying. ❌ Adding unrelated technologies or unsupported claims to increase ATS keywords — Stick to relevant and substantiated skills. ❌ Failing to verify the official Apply URL and job details before submission — Always check the application link and job specifics. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that the candidate meets the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to the resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Data Scientist - Senior Manager Optimizing your resume for ATS is crucial for standing out in the application process for this role, ensuring your qualifications are recognized. ATS Keywords to Include Data Scientist Senior Manager Python AWS GCP Azure TensorFlow PyTorch AI LLM agents model evaluation fine-tuning Resume Tips for This Role Highlight the requirement for over 5 years of experience prominently on the resume. Emphasize experience with Python , AWS , GCP , TensorFlow , and PyTorch . Consider showcasing projects involving AI/ML model development or deployment. Use relevant keywords from the job description naturally to align with ATS criteria. Avoid including unsupported technologies or experiences that cannot be substantiated. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Avoid including unrelated work experiences that do not align with the role's requirements. How to Apply for Data Scientist - Senior Manager at State Street Apply Now — State Street Open the official Apply URL and confirm the job title and company matches " Data Scientist - Senior Manager " at State Street . Prepare a resume that aligns with the required skills, responsibilities, qualifications, and experience outlined in the job posting. Complete the official application form accurately, ensuring all information is truthful and avoiding unsupported claims. Submit the application and save the confirmation or application reference number if provided by the portal. Record the application date and monitor the official company portal or registered email for updates. Applications are reviewed on a rolling basis — early submission is recommended. Apply Now — State Street NexisGrow.com does not charge any fees for job applications. State Street State Street is a technology company based in Bangalore, India. It operates onsite and focuses on AI/ML science. The company advances agentic AI through dedicated research and development initiatives, particularly in LLMs and model evaluation. The Data Scientist - Senior Manager role supports the Agentic AI platform initiative. Responsibilities include model evaluation, fine-tuning, prompt optimization, and building knowledge graphs and inference engines. Collaboration occurs with Platform Engineering, SRE, and business teams to deliver AI solutions. This role is central to the Agentic AI platform initiative, where applied research and product-oriented data science drive real-world AI solutions. Early-career professionals gain exposure to Python , AWS , GCP , Azure , TensorFlow , PyTorch , AI, and LLM agents —key tools in modern AI development and deployment. Company Details Industry Technology Location Bangalore, India Connect With Us Careers Apply Now Website 🔗 statestreet.wd1.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a relevant technical background and over 5 years of experience, specifically from the eligible batches of 2023 to 2026. ? What technical skills are most important for this role? Skills Tap to expand + Answer Python, AWS, GCP, TensorFlow, and PyTorch are critical for the responsibilities outlined in the job description. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is Not Disclosed; this is the only salary information available. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer 1. Review key responsibilities and technologies. 2. Prepare examples of relevant projects. 3. Familiarize yourself with LLMs and AI/ML concepts. 4. Practice problem-solving scenarios. 5. Prepare questions about the role and team. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is onsite in Bangalore, India. ? What career exposure can this role provide? Growth Tap to expand + Answer The role offers exposure to advanced AI technologies, collaboration with engineering and business teams, and experience in operationalizing AI solutions. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight skills in Python, AWS, GCP, TensorFlow, and relevant experience in AI/ML projects. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer Collaboration will occur with Platform Engineering, SRE, and business engagement teams. ? Can freshers apply for this role? Fresher Tap to expand + Answer No, the role requires over 5 years of experience. 🔗 Explore More on NexisGrow More jobs in Bangalore Browse all Tech jobs Latest Fresher jobs More jobs at State Street Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com