{"id":109009,"url":"https://alion.io/job/citi-lead-aiml-data-scientist-vp","title":"Lead AI/ML Data Scientist - VP","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":504,"ghost_share":0.006,"stale_share":0.131,"repost_share":0.073,"time_to_fill_p50_days":9,"computed_at":"2026-10-30T05:48:23Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"head","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mississauga, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":120800,"max":170800,"currency":"CAD","period":"year","gross":null,"usd_annual":121420},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Bitbucket","optional":false},{"name":"CatBoost","optional":false},{"name":"Chain-of-Thought","optional":false},{"name":"CI/CD","optional":false},{"name":"DVC","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Google ADK","optional":false},{"name":"Jenkins","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LightGBM","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"MLFlow","optional":false},{"name":"mlr3","optional":false},{"name":"MySQL","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Plotly","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"R","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Seaborn","optional":false},{"name":"Sentiment Analysis","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transformers","optional":false},{"name":"Weights & Biases","optional":false},{"name":"XGBoost","optional":false}],"status":"live","first_seen_at":"2026-08-19T00:00:00Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-30T10:40:02Z","board_verified":true,"closed_at":null,"days_open":72,"trust":{"level":"ok","repost_count":2,"flags":["repost"],"days_open":71},"description":"About Citi:\nCiti, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.\nAs a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.\nOur commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together.\nAbout the Team:\nCiti is looking for a Lead AI/ML Data Scientist to join the Olympus Data Reconciliation and Engineering team, where you will shape the next generation of AI and machine learning capabilities powering enterprise-scale reconciliation across global processing hubs.\nIn this role, you will drive the full lifecycle of ML model development - from ideation and architecture through to deployment and adoption - delivering measurable impact across Capital Markets operations, risk, and finance. Your work will sit at the intersection of advanced data science and real-world financial systems, influencing outcomes at a global scale.\nResponsibilities:\nDesign, build, and deploy AI and machine learning models - including Agentic AI and Generative AI solutions - to solve complex reconciliation and data engineering challenges at enterprise scale.\n\nLead the end-to-end ML model development lifecycle, from requirements gathering and data preprocessing through to ensemble modeling, validation, and production integration.\n\nAnalyze large volumes of structured and unstructured financial data to uncover trends, patterns, and opportunities for optimization across banking platforms.\n\nDefine and deliver ML model roadmaps in collaboration with technical and business teams, ensuring alignment with project timelines, budgets, and Citi's architecture standards.\n\nTranslate complex data findings into clear visualizations and strategic recommendations that inform decisions made by senior business and technology leaders.\n\nPartner with engineering, operations, and cross-functional teams to ensure seamless model integration, long-term scalability, and reliable performance in production environments.\n\nIdentify and communicate technology risks and their business implications, developing mitigation strategies and maintaining transparency with stakeholders at all levels.\n\nMaintain comprehensive model documentation and support knowledge transfer to ensure continuity and adoption across teams.\n\nRequired Qualifications & Skills:\nTechnical Expertise:\n6+ years hands-on experience in AI/ML development and big data engineering within Financial Services, Insurance, or Telecom environments\n\nExpert-level proficiency in Python (scikit-learn, TensorFlow, PyTorch, Pandas, NumPy), R (caret, tidyverse, mlr3), and SQL (PostgreSQL, Oracle, MySQL)\n\nDeep technical knowledge implementing supervised and unsupervised ML algorithms: linear/logistic regression, neural networks (CNN, RNN, LSTM, Transformers), k-means clustering, DBSCAN, decision trees (CART, C4.5), and ensemble methods (Random Forest, XGBoost, LightGBM, CatBoost)\n\nProven experience building and deploying Agentic AI and LLM-based solutions using:\nLangGraph for complex agent orchestration and state management\n\nLangChain for chain-of-thought reasoning and retrieval-augmented generation (RAG)\n\nAgent Development Kit (ADK) for enterprise-grade autonomous agent development\n\nBeneficial Skills & Qualifications:\nHands-on experience with advanced statistical modeling: Generalized Linear Models (GLM), Random Forest, Gradient Boosting (AdaBoost, XGBoost), and Natural Language Processing (NLP) techniques including text mining, topic modeling (LDA), and sentiment analysis\n\nExperience with model versioning and experiment tracking tools (Mlflow, Weights & Biases, DVC)\n\nProficiency with Git/GitHub/Bitbucket for version control and collaborative development\n\nKnowledge of CI/CD pipelines for ML model deployment (Jenkins, GitLab CI, GitHub Actions)\n\nFamiliarity with data visualization libraries (Matplotlib, Seaborn, Plotly) and BI tools (Tableau, Power BI)\n\nExperience with real-time streaming data frameworks (Kafka, Kinesis)\n\nPassion for staying current with emerging AI/ML frameworks, research papers, and open-source contributions\n\nEducation:\nBachelor’s or Master’s degree in Computer Science,Data Science, Software Engineering, Information Systems, Mathematics, Statistics or related fields of study.\nThis job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.\n------------------------------------------------------\nJob Family Group:\nTechnology------------------------------------------------------\nJob Family:\nData Science------------------------------------------------------\nTime Type:\nFull time------------------------------------------------------\nPrimary Location Full Time Salary Range:\n$120,800.00 - $170,800.00------------------------------------------------------\nMost Relevant Skills\nPlease see the requirements listed above.------------------------------------------------------\nOther Relevant Skills\nFor complementary skills, please see above and/or contact the recruiter.------------------------------------------------------\nAutomated Processing and AI\nWe use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.\nImportantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.\n------------------------------------------------------\nThis job opening is for an existing job vacancy.\n------------------------------------------------------\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":8046,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cards & Card Issuing","Wealth Management & Financial Advisors","Payment Processing & Gateways","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-08-19T00:00:00Z"},{"event":"close","at":"2026-08-31T04:49:08Z"},{"event":"reopen","at":"2026-09-02T13:57:54Z"},{"event":"close","at":"2026-09-04T05:30:09Z"},{"event":"reopen","at":"2026-10-21T19:53:52Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.268,"p_room":0.28,"age_days":72,"expected_fill_days":9,"reasons":["conf:0","repost:2","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-30T05:48:23Z"},"pay":{"stated_usd_annual":121420,"is_top_pay":false},"html_url":"https://alion.io/job/citi-lead-aiml-data-scientist-vp","json_url":"https://alion.io/job/citi-lead-aiml-data-scientist-vp.json","meta":{"generated_at":"2026-10-30T12:39:39Z","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":18183,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-31T00:00:00Z"}},"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-lead-aiml-data-scientist-vp"},{"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-lead-aiml-data-scientist-vp"},{"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-lead-aiml-data-scientist-vp"},{"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-lead-aiml-data-scientist-vp\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fciti-lead-aiml-data-scientist-vp"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":109009}},{"tool":"search_jobs","arguments":{"company":"citi.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":109009},"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. 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