Sr Data Scientist- Generative AI

• 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.

• 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.

• GPT, Claude, Llama and other foundation models

• 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

• Python
• SQL
• PyTorch
• TensorFlow
• Scikit-Learn
• LangChain
• LangGraph
• Hugging Face

• 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

• Text Classification
• Information Extraction
• Summarization
• Topic Modeling
• Question Answering
• Sentiment Analysis
• Explainable AI

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 per Week: 40

• Hybrid: 4 days per week on-site, 1 day remote

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, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague’s or a dependent’s 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.

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.