Citizens

About the Company

At Citizens, we recognize that the journey to accomplishment is no longer linear and that individuals are made of all they have done and all they are going to do. As one of the oldest and largest financial services firms in the United States with a history dating back to 1828, we're committed to providing solutions and expertise that support our customers, clients, colleagues, and communities in what's next on their own unique journey. Whether you're considering banking with us or looking to work with us, you'll find a customer-centric culture and a supportive, collaborative workforce at Citizens. You're made ready and so are we. #MadeReady

Listed Jobs

Company Name

Citizens

Job Title

Senior Data Scientist - GenAI Use Cases

Job Description

**Job title**: Senior Data Scientist – Generative AI Use Cases **Role Summary**: Lead the design, development, and production of Generative AI (GenAI) solutions for risk‑management domains such as Credit Risk, AML, Sanctions, and Operational Risk. Drive model architecture, collaborate with stakeholders, ensure governance compliance, mentor junior talent, and stay abreast of emerging GenAI technologies. **Expectations**: - Design and deliver end‑to‑end GenAI models (LLMs, RAG, prompt engineering) that meet performance and regulatory standards. - Translate business problems into scalable AI solutions with measurable impact. - Transition prototypes to production, managing security, governance, and monitoring. - Produce rigorous documentation for validation, audit, and compliance. - Guide and mentor a small data science team. **Key Responsibilities**: 1. Architect advanced ML/GenAI solutions for risk domains. 2. Partner with senior business stakeholders to identify GenAI opportunities. 3. Oversee model production deployment and operationalization. 4. Explore and evaluate new GenAI frameworks (LangChain, Hugging Face, agentic patterns). 5. Document model lifecycle, validation, and audit trails. 6. Mentor junior data scientists and analysts. **Required Skills**: - 5+ years in data science/ML, 2+ years in GenAI/LLM/NLP. - Proficiency in Python; experience with LangChain, Hugging Face, RAG, embeddings, vector databases. - Prompt engineering, retrieval‑augmented generation, and agentic design pattern knowledge (reflection, tool use, memory). - Strong understanding of GenAI evaluation metrics and governance. - Excellent communication with non‑technical stakeholders. - Proven ability to produce compliant documentation in regulated environments. **Required Education & Certifications**: - Master’s degree in Operations Research, Statistics, Mathematics, Computer Science, Economics, or Data Science (PhD preferred). ---

Boston, United states

On site

Senior

25-11-2025

Company Name

Citizens

Job Title

Senior Data Scientist- Generative AI

Job Description

**Job Title:** Senior Data Scientist – Generative AI **Role Summary:** Lead the design, development, and deployment of Generative AI solutions using Large Language Models (LLMs) to solve business challenges, enhance customer experience, and optimize internal processes across the organization. **Expectations:** - Deliver end‑to‑end AI models (summarization, classification, extraction, conversational) on bank data. - Collaborate with risk, compliance, and model validation teams to ensure responsible, auditable AI practices. - Communicate findings and technical documentation clearly to both technical and non‑technical stakeholders. **Key Responsibilities:** - Apply LLMs and Generative AI tools to real‑world problems. - Source, clean, and preprocess structured and unstructured data for model training and evaluation. - Perform exploratory data analysis and statistical validation of model outputs. - Stay current on Generative AI breakthroughs and evaluate banking use cases. - Create and maintain model documentation, usage guides, and evaluation reports. - Engage with model validation teams and regulatory bodies regarding AI model governance. **Required Skills:** - 4+ years in data science, analytics, or applied machine learning. - Strong proficiency in Python; experience in notebook environments. - Deep knowledge of NLP libraries (spaCy, NLTK, Hugging Face) and text processing techniques. - Ability to handle large, heterogeneous datasets and perform feature engineering. - Excellent communication, technical writing, and stakeholder engagement skills. **Preferred Skills:** - Experience with Generative AI tools and LLMs (GPT, Claude, Gemini). - Prompt engineering and LLM output evaluation. - Designing orchestration plans or agentic workflows. - Collaboration with model validation/regulatory teams. **Required Education & Certifications:** - Master’s degree (or Ph.D.) in Computer Science, Mathematics, Statistics, or a related field. - Demonstrated experience interacting with model validation teams and regulators.

Johnston, United states

On site

Senior

08-12-2025