{"id":46195,"url":"https://alion.io/job/state-street-full-stack-engineer-avp","title":"Lead Data Scientist - Assistant Vice President","company":{"id":1806,"name":"State Street","domain":"statestreet.com","url":"https://alion.io/company/state-street","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":97,"open_postings":334,"ghost_share":0.015,"stale_share":0.237,"repost_share":0.048,"time_to_fill_p50_days":21,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"head","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19500,"max_usd":48000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":91},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"DGL","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Keras","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Neo4j","optional":false},{"name":"NLP","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"TensorFlow","optional":false},{"name":"CI/CD","optional":true},{"name":"Databricks","optional":true},{"name":"LangChain","optional":true},{"name":"LlamaIndex","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-08-07T00:00:00Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-16T19:06:10Z","board_verified":true,"closed_at":null,"days_open":70,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":70},"description":"AVP - Lead Data Scientist\nAbout the Role\nWe are seeking an accomplished and hands-on Lead Data Scientist (AVP) to join our AI/ML Science team as part of the Agentic AI platform initiative. This role is pivotal in shaping the science strategy for large language models (LLMs), generative AI, and advanced analytics across business domains. You will be responsible for leading the design, development, evaluation, and operationalization of AI/ML solutions that address complex, high-impact business problems at enterprise scale.\nThe ideal candidate will bring deep technical expertise in machine learning, generative AI, advanced analytics, and model lifecycle management, as well as proven experience in translating business needs into robust, secure, and scalable AI solutions. You will collaborate closely with business stakeholders, engineering, architecture, and governance teams, and play a key role in mentoring data scientists and advancing best practices in model governance and Responsible AI.\nKey Responsibilities\nLead the end-to-end delivery of AI/ML and LLM-based solutions: problem framing, data exploration, feature engineering, model development, evaluation, deployment, and monitoring.\nArchitect and implement advanced generative AI and agentic applications, including prompt engineering, fine-tuning, embedding, vector search, and retrieval-augmented generation (RAG).\nDefine and drive best practices for model evaluation, benchmarking, error taxonomy, explainability, and anomaly detection.\nBuild and maintain knowledge graphs, graph-based reasoning engines, and semantic search capabilities to power intelligent applications.\nPartner with engineering, SRE, and platform teams to productionize models, optimize for scalability and reliability, and integrate models into enterprise platforms and workflows.\nEnsure compliance with Responsible AI practices, model governance, regulatory requirements, and enterprise MRM controls.\nDrive the creation and adoption of reusable AI assets, experimentation frameworks, and MLOps/LLMOps pipelines.\nCommunicate complex technical findings, recommendations, and risks to technical and non-technical stakeholders, including senior leadership.\nMentor and guide junior and senior data scientists, fostering a culture of innovation, experimentation, and knowledge sharing.\nStay current with advancements in LLMs, generative AI, agentic systems, and AI/ML engineering to drive pragmatic adoption within the organization.\nRequired Qualifications\nBS, BTech, or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related quantitative field.\n8+ years of overall experience in IT and 5+ years of relevant experience in machine learning, statistical modeling, and AI solution development, with 2+ years in generative AI/LLMs.\nProven track record of designing, developing, and operationalizing AI/ML models at enterprise scale.\nStrong proficiency in Python and leading ML/AI frameworks (Scikit-learn, PyTorch, TensorFlow, Keras, etc.).\nHands-on experience with LLMs, NLP, prompt engineering, embeddings, vector databases, and RAG.\nExperience with both structured and unstructured data, feature engineering, model experimentation, and tuning.\nSolid understanding of model validation, explainability, testing, monitoring, and Responsible AI.\nProficiency with Azure and/or AWS for AI/ML development and deployment.\nExperience with graph databases and libraries (e.g., Neo4j, DGL), knowledge graphs, and semantic search.\nStrong stakeholder management, communication, and cross-functional collaboration skills.\nDemonstrated ability to work effectively across business, engineering, architecture, and governance teams.\nGood to have skills\nExperience in financial services, risk, operations, or other regulated enterprise environments.\nFamiliarity with model risk management, regulatory compliance, and Responsible AI controls.\nExperience with Databricks, Spark, SQL, LangChain, LlamaIndex, or similar AI/ML engineering toolsets.\nKnowledge of agentic AI, workflow orchestration, and enterprise AI platform capabilities.\nExperience with MLOps/LLMOps, CI/CD, model versioning, experiment tracking, and production monitoring.\nPrior mentoring or team leadership experience.\nAbility to present complex technical concepts in a business-friendly manner.\nWork Schedule\nOn-premise\nKeywords\nAI/ML, Data Science, Generative AI, LLM, NLP, Predictive Modeling, Statistical Modeling, Python, PyTorch, TensorFlow, Scikit-learn, Azure, AWS, Databricks, Spark, RAG, Prompt Engineering, Vector Database, MLOps, LLMOps, Responsible AI, Model Governance, Explainability, Model Monitoring, Enterprise AI, Data Analytics\nAbout State Street\nAcross 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.\nWe 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.\nAs 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.\nDiscover more information on jobs at StateStreet.com/careers\nRead our CEO Statement","description_format":"text","description_chars":5859,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Flexible schedule"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Asset Management & Funds","Custody & Fund Administration"],"lifecycle":[{"event":"open","at":"2026-08-07T00:00:00Z"},{"event":"close","at":"2026-08-10T08:17:43Z"},{"event":"reopen","at":"2026-10-13T16:05:28Z"}],"visa":[],"liveness":{"score":19,"band":"cold","label":"Long shot","p_open":1,"p_active":0.685,"p_room":0.28,"age_days":70,"expected_fill_days":21,"reasons":["conf:0","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/state-street-full-stack-engineer-avp","json_url":"https://alion.io/job/state-street-full-stack-engineer-avp.json","meta":{"generated_at":"2026-10-16T19:49:03Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":201,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1806},"rest":"https://alion.io/mcp/rest/get_company?id=1806"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fstate-street-full-stack-engineer-avp"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fstate-street-full-stack-engineer-avp"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fstate-street-full-stack-engineer-avp"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/state-street-full-stack-engineer-avp\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fstate-street-full-stack-engineer-avp"}]}