{"id":964573,"url":"https://alion.io/job/citi-generative-ai-data-scientist-wealth-analytics","title":"Generative AI Data Scientist — Wealth Analytics","company":{"id":7841,"name":"Citi","domain":"citi.com","url":"https://alion.io/company/citi","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":528,"ghost_share":0.006,"stale_share":0.155,"repost_share":0.07,"time_to_fill_p50_days":9,"computed_at":"2026-11-03T05:54:40Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":11000,"max_usd":28000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":18},"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Claude","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Gemini","optional":false},{"name":"Hugging Face","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transformers","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-16T13:03:36Z","employer_posted_date":"2026-09-16","last_verified_at":"2026-11-03T22:26:07Z","board_verified":true,"closed_at":null,"days_open":48,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":48},"description":"This is an opportunity to build and ship Generative AI models that power a live, intelligent client engagement platform at the heart of Citi's Wealth business. As a Generative AI Data Scientist within Citi's Analytics & Information Management function, you will design, train, and deploy LLM-based solutions that help financial advisors reach the right clients, with the right message, at the right time - at scale and with measurable impact. You will go beyond modelling to own the analytics that measure how the platform performs and inform how it improves.\nResponsibilities\nDesign and implement Generative AI and LLM-based solutions using Python, PySpark, and SQL, applying techniques including prompt engineering, Retrieval Augmented Generation (RAG), and model fine-tuning to power an intelligent client engagement platform.\nTrain, validate, and deploy machine learning models across the full model lifecycle - from data extraction and exploratory analysis through to production deployment and ongoing governance.\nAnalyse structured and unstructured datasets to surface business insights that directly inform product decisions and strategic priorities within the Wealth business.\nHarden GenAI components for production use by improving output relevance and quality, building in monitoring and evaluation, and ensuring models meet Citi's compliance and governance standards.\nBuild and apply product analytics to measure platform adoption, quantify value delivered to advisors, and identify where users encounter friction - then translate those findings into concrete platform improvements.\nCollaborate with product managers, engineers, and business stakeholders to move solutions from prototype to production, integrating models directly into platform workflows.\nEvaluate emerging AI and LLM capabilities for applicability to the platform, and communicate findings clearly through presentations and analytical reports to technical and non-technical audiences.\nRequired qualifications & skills\n1-3 years of hands-on experience in an AI, machine learning, or data science role, with direct exposure to deep learning or generative AI applications.\nProficiency in Python and SQL, including writing efficient queries, processing large datasets, and applying these tools to build and validate analytical solutions.\nPractical experience working with Large Language Models (such as OpenAI, Claude, or Gemini) and frameworks including TensorFlow, PyTorch, Hugging Face Transformers, LangChain, or LlamaIndex.\nAbility to apply core machine learning techniques - including supervised and unsupervised modelling, statistical analysis, hypothesis testing, and data visualisation - to generate clear, actionable insights.\nFamiliarity with vector databases and model fine-tuning techniques, and the ability to validate and maintain models once deployed in production.\nBachelor’s degree in computer science, Data Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative discipline.\nBeneficial skills & qualifications\nExposure to product development practices such as working with engineering teams, version control, API integration, or feature monitoring within a live platform or application.\nExperience using product analytics to define metrics, measure user adoption and engagement, and analyse behavioural patterns such as drop-offs or conversion funnels.\nAwareness of what makes an AI platform production-grade, including evaluation frameworks, guardrails, observability, and scalability considerations.\nPublished research, conference presentations, or certifications in AI, machine learning, data science, or analytics.\nDomain experience in Wealth Management, Credit Cards, or Retail Banking.\nWhat we offer\nJoining this team means working on a production-grade GenAI platform that is already delivering measurable impact for Citi's Wealth business - not a proof of concept, but a live system used by financial advisors at scale. You will work within one of India's most established analytics functions, alongside data scientists, engineers, and product managers who are committed to building something that genuinely works in the real world.\nHybrid working with 3 days in the office and 2 days working remotely, giving you flexibility alongside in-person collaboration.\nHands-on experience with cutting-edge GenAI and LLM technologies applied to real financial services use cases.\nExposure to the complete model lifecycle - from training and fine-tuning through to production deployment, monitoring, and governance.\nAccess to learning and development resources to grow your technical skills and deepen your knowledge of AI and machine learning.\nThe opportunity to build product analytics capability alongside your data science work, developing a broader understanding of how intelligent platforms succeed in practice.\nA collaborative, performance-driven environment within a global analytics function that has been operating across India since 2003.\nApply now to build GenAI solutions that move directly into production and shape how Citi's financial advisors engage with clients at scale.\n------------------------------------------------------\nJob Family Group:\nDecision Management------------------------------------------------------\nJob Family:\nSpecialized Analytics (Data Science/Computational Statistics)------------------------------------------------------\nTime Type:\nFull time------------------------------------------------------\nMost Relevant Skills\nPlease see the requirements listed above.------------------------------------------------------\nOther Relevant Skills\nFor complementary skills, please see above and/or contact the recruiter.------------------------------------------------------\nCiti is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.\nIf you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.\nView Citi’s EEO Policy Statement and the Know Your Rights poster.","description_format":"text","description_chars":6244,"description_truncated":false,"requirements":{"experience_years_min":1,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Wealth Management & Financial Advisors","Payment Processing & Gateways","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-09-16T13:03:36Z"}],"visa":[],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.172,"p_room":0.28,"age_days":47,"expected_fill_days":9,"reasons":["conf:3","velocity","win:tail","crowd:junior,brand"],"computed_at":"2026-11-03T05:54:40Z"},"pay":null,"html_url":"https://alion.io/job/citi-generative-ai-data-scientist-wealth-analytics","json_url":"https://alion.io/job/citi-generative-ai-data-scientist-wealth-analytics.json","meta":{"generated_at":"2026-11-04T01:35:19Z","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":2404,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"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":7841},"rest":"https://alion.io/mcp/rest/get_company?id=7841"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fciti-generative-ai-data-scientist-wealth-analytics"},{"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%2Fciti-generative-ai-data-scientist-wealth-analytics"},{"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%2Fciti-generative-ai-data-scientist-wealth-analytics"},{"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/citi-generative-ai-data-scientist-wealth-analytics\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fciti-generative-ai-data-scientist-wealth-analytics"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":964573}},{"tool":"search_jobs","arguments":{"company":"citi.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":964573},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}