Data Science Senior Analyst, Citi

Citi

Location:
United States, O'Fallon

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Not provided

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Job Description:

The Data Science Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits.

Job Responsibility:

designs and manages vector databases (e.g., FAISS, Pinecone, or similar) to support semantic search and contextual memory in AI agents
collaborates with cross-functional teams to integrate AI agents into business processes, enhancing automation, decision-making, and user experience
conducts advanced data analysis and visualization to extract actionable insights from structured and unstructured data sources
stays current with emerging trends in generative AI, LLM orchestration, and agentic systems to continuously improve solution design
develops complex data & analytical solutions using Python, PySpark, SQL to identify the compliance/regulation issues
identifies the right data elements needed for the solution and able to distinguish the critical data element vs non-critical data element
develops and implement AI-driven solutions using Python, PySpark, and LangChain, with a focus on retrieval-augmented generation (RAG) architectures and agentic workflows
leverages GCP Vertex AI, including Gemini models, to build scalable machine learning and generative AI applications
conducts strategic data analysis, identifies insights and implications and makes strategic recommendations, develops data displays that clearly communicate complex analysis
mines and analyzes data from various banking platforms to drive optimization and improve data quality
deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required, and establish a project plan
consults with business clients to determine system functional specifications
applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business objectives
consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards
recommends solutions
assists system change process from requirements through implementation
provides user and operational support of application to business users
assists in the formulation and definition systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards
communicates with the business directly by ensuring the quality of work provided by self and others
impacts own team and closely related work teams
considers the business implications of the application of technology to the current business environment
identifies and communicates risks and impacts
communicate between business leaders and IT exhibiting sound and comprehensive communication and diplomacy skills to exchange complex information
appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
performs other duties and functions as assigned

Requirements:

5-8 years experience in a combination of business and data analysis, process improvement and project management
5+ years in data science, machine learning, and AI system development preferred
experience using tools for statistical modeling of large data sets
strong proficiency in Python, PySpark, and LangChain, with a portfolio of projects involving RAG pipelines and agentic AI
experience working with GCP Vertex AI, especially Gemini models, and deploying models in production environments preferred
familiarity with vector databases and their role in semantic search and memory for AI agents preferred
solid foundation in data analytics, including statistical modeling, data wrangling, and visualization
ability to translate complex technical concepts into business value and communicate effectively with both technical and non-technical stakeholders
strong knowledge in data engineering and database concepts, able to identify right data elements needed for the solution
financial services industry work experience preferred
experience designing and deploying solutions using Python, Pyspark, generative AI and (or) agentic AI frameworks, with a deep understanding of modern data analytics pipelines preferred
ability to effectively use complex analytical, interpretive and problem-solving techniques
demonstrated interpersonal, verbal and written communication skills
methodical attention to detail

Nice to have:

financial services industry work experience preferred
familiarity with vector databases and their role in semantic search and memory for AI agents preferred
experience working with GCP Vertex AI, especially Gemini models, and deploying models in production environments preferred

What we offer:

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Additional Information:

Job Posted:
September 25, 2025

Expiration:
November 30, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Data Science Senior Analyst