Sr Data Scientist- Generative AI

Join a team where innovation meets impact. As a Senior Data Scientist,

Generative AI & Agentic Systems, you will help drive the bank's AI

transformation by designing, developing, and deploying Large Language Model

(LLM) solutions, Retrieval-Augmented Generation (RAG) systems, AI agents, and

intelligent automation capabilities. You will work across business, technology,

risk, and compliance teams to deliver responsible, scalable, and

production-ready GenAI solutions that improve customer experiences, enhance

operational efficiency, and create measurable business value.

This role is ideal for an experienced data scientist with strong software

engineering and machine learning skills, deep expertise in NLP and Generative

AI, and experience developing AI solutions within highly regulated environments.

Key Responsibilities

• * Design, develop, and deploy production-grade Generative AI solutions using
• LLMs, RAG frameworks, AI agents, and workflow orchestration platforms.
• * Build intelligent document processing capabilities for information
• extraction, summarization, classification, question answering, and
• conversational AI applications.
• * Develop agentic workflows capable of autonomous reasoning, task execution,
• tool utilization, and multi-step decision support.
• * Design and implement retrieval pipelines, vector search architectures,
• embedding strategies, and knowledge-grounded AI systems.
• * Evaluate and improve LLM performance through prompt engineering, model
• benchmarking, hallucination reduction, and faithfulness testing.
• * Build scalable AI solutions using modern frameworks and infrastructure
• including vLLM, LangChain, LangGraph, MLflow, Databricks, Snowflake, and
• cloud-native platforms.
• * Perform exploratory data analysis, feature engineering, and statistical
• analysis to support machine learning and GenAI model development.
• * Develop model monitoring, evaluation, and observability frameworks to measure
• quality, reliability, fairness, and operational performance.
• * Collaborate closely with Model Risk Management (MRM), Compliance, Audit,
• Legal, and Information Security teams to ensure responsible AI deployment.
• * Create technical documentation, model development artifacts, validation
• packages, and executive-level presentations.
• * Partner with product managers, engineers, data architects, and business
• stakeholders to identify and prioritize GenAI opportunities.
• * Stay current with advances in Generative AI, agentic systems, multimodal AI,
• foundation models, and emerging industry best practices.

Qualifications

• Required
• * Ph.D. or Master's degree in Computer Science, Data Science, Statistics,
• Mathematics, Artificial Intelligence, or a related quantitative field.
• * 7+ years of experience in data science, machine learning, predictive
• analytics, or artificial intelligence.
• * 4+ years of hands-on experience developing NLP and Generative AI solutions.
• * Strong proficiency in Python and modern software development practices.
• * Experience developing and deploying LLM-based applications using commercial
• or open-source models.
• * Experience with Retrieval-Augmented Generation (RAG), vector databases,
• embeddings, and semantic search.
• * Experience with prompt engineering, prompt evaluation, and LLM performance
• optimization.
• * Strong understanding of machine learning algorithms, deep learning,
• statistical modeling, and model explainability techniques.
• * Experience working with structured and unstructured data at enterprise scale.
• * Experience collaborating with cross-functional stakeholders and communicating
• technical concepts to non-technical audiences.
• * Strong knowledge of model governance, validation processes, and documentation
• standards.
• Preferred
• * Experience designing and deploying AI agents and multi-agent systems.
• * Experience with agent orchestration frameworks such as LangChain, LangGraph,
• Semantic Kernel, CrewAI, Autogen, or similar technologies.
• * Experience serving open-source LLMs using vLLM, Hugging Face, or equivalent
• inference frameworks.
• * Experience with RAG evaluation frameworks such as RAGAS or other LLM
• evaluation methodologies.
• * Experience with model monitoring, MLOps, and production AI deployment.
• * Experience with cloud AI platforms such as AWS Bedrock, Azure AI, Databricks,
• Snowflake Cortex.
• * Experience building document intelligence solutions involving PDFs, OCR,
• document extraction, knowledge extraction from images, and workflow
• automation.
• * Experience within banking, financial services, fintech, insurance, or other
• regulated industries.
• * Experience supporting Model Risk Management (MRM), model validation, audit
• reviews, or regulatory examinations.
• * Familiarity with MCP (Model Context Protocol), tool calling frameworks, and
• AI workflow automation platforms.
• Technical Skills
• Generative AI & LLMs
• * GPT, Claude, Llama and other foundation models
• * Retrieval-Augmented Generation (RAG)
• * AI Agents and Multi-Agent Systems
• * Prompt Engineering and Prompt Optimization
• * Fine-Tuning and Model Adaptation
• * LLM Evaluation and Guardrails
• * Knowledge Retrieval and Vector Search
• Programming & Frameworks
• * Python
• * SQL
• * PyTorch
• * TensorFlow
• * Scikit-Learn
• * LangChain
• * LangGraph
• * Hugging Face
• Data Platforms & MLOps
• * Experience with cloud-based data, AI, and ML platforms (AWS, SageMaker,
• Databricks, Snowflake, etc.)
• * Experience with distributed data processing frameworks (Spark /
• PySpark/Snowpark Snowflake)
• * Experience with ML lifecycle, orchestration, and deployment tools (MLflow,
• Airflow, CI/CD)
• * Experience with AI-assisted development and model monitoring solutions
• NLP & Analytics
• * Text Classification
• * Information Extraction
• * Summarization
• * Topic Modeling
• * Question Answering
• * Sentiment Analysis
• * Explainable AI
• Preferred Candidate Profile
• The ideal candidate needs to demonstrate success building production-scale GenAI
• solutions such as RAG platforms, conversational AI systems, document
• intelligence solutions, AI agents, and automated decision-support systems. They
• possess strong technical depth, understand governance requirements in regulated
• industries, and can bridge the gap between cutting-edge AI capabilities and
• practical business outcomes. This individual is comfortable operating from
• concept through production deployment while maintaining a strong focus on
• quality, compliance, explainability, and measurable impact.
• Hours & Work Schedule
• * Hours per Week: 40
• * Work Schedule: Monday - Friday
• * Hybrid: 4 days per week on-site, 1 day remote

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide

equal employment and advancement opportunities to all colleagues and applicants

for employment without regard to age, ancestry, color, citizenship, physical or

mental disability, perceived disability or history or record of a disability,

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characteristic, marital or domestic partner status, victim of domestic violence,

family status/parenthood, medical condition, military or veteran status,

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reproductive health decision making, race, religion, sex, sexual orientation, or

any other category protected by federal, state and/or local laws. At Citizens,

we are committed to fostering an inclusive culture that enables all colleagues

to bring their best selves to work every day and everyone is expected to be

treated with respect and professionalism. Employment decisions are based solely

on merit, qualifications, performance and capability.

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Background Check

Any offer of employment is conditioned upon the candidate successfully passing a

background check, which may include initial credit, motor vehicle record, public

record, prior employment verification, and criminal background checks. Results

of the background check are individually reviewed based upon legal requirements

imposed by our regulators and with consideration of the nature and gravity of

the background history and the job offered. Any offer of employment will include

further information.