Lead Data Scientist- Gen AI-ML- Vice president

About the Team: Citi is looking for a Lead Gen 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. In 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. Responsibilities:

• Design, 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.
• Lead the end-to-end ML model development lifecycle, from requirements gathering and data preprocessing through to ensemble modeling, validation, and production integration.
• Analyze large volumes of structured and unstructured financial data to uncover trends, patterns, and opportunities for optimization across banking platforms.
• Define and deliver ML model roadmaps in collaboration with technical and business teams, ensuring alignment with project timelines, budgets, and Citi's architecture standards.
• Translate complex data findings into clear visualizations and strategic recommendations that inform decisions made by senior business and technology leaders.
• Partner with engineering, operations, and cross-functional teams to ensure seamless model integration, long-term scalability, and reliable performance in production environments.
• Identify and communicate technology risks and their business implications, developing mitigation strategies and maintaining transparency with stakeholders at all levels.
• Maintain comprehensive model documentation and support knowledge transfer to ensure continuity and adoption across teams. Required Qualifications & Skills: Technical Expertise:
• 10+ years hands-on experience in Gen AI/ML development and big data engineering within Financial Services, Insurance, or Telecom environments
• Expert-level proficiency in Python (scikit-learn, TensorFlow, PyTorch, Pandas, NumPy), and SQL
• Deep 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)
• Proven experience building and deploying Agentic AI and LLM-based solutions using:
• LangGraph for complex agent orchestration and state management
• LangChain for chain-of-thought reasoning and retrieval-augmented generation (RAG)
• Agent Development Kit (ADK) for enterprise-grade autonomous agent development Beneficial Skills & Qualifications:
• Hands-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
• Experience with model versioning and experiment tracking tools (Mlflow, Weights & Biases, DVC)
• Proficiency with Git/GitHub/Bitbucket for version control and collaborative development
• Familiarity with data visualization libraries (Matplotlib, Seaborn, Plotly) and BI tools (Tableau, Power BI)
• Experience with real-time streaming data frameworks (Kafka, Kinesis)
• Passion for staying current with emerging AI/ML frameworks, research papers, and open-source contributions Education: Bachelor’s or Master’s degree in Computer Science , Data Science , Software Engineering , Information Systems , Mathematics , Statistics or related fields of study. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Data Science ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi 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. If 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 . View Citi’s EEO Policy Statement and the Know Your Rights poster.