Sr. Data Scientist - GenAI Use Cases

Description

Senior Data Scientist – GenAI Use Case

The primary responsibility for this role is to lead the development and implementation of Generative AI (GenAI) use cases across key Risk Management areas such as Credit Risk, Anti-Money Laundering (AML), Sanctions, and Operational Risk. In addition, this role will influence model development for credit risk and other regulatory compliance areas, ensuring adherence to governance and performance standards.

As a Senior Data Scientist, you will drive strategy and execution, working closely with Principal Data Scientists, subject matter experts, and technology partners to design, build, and scale GenAI solutions. You will mentor junior team members and serve as a thought leader in applying advanced AI techniques to complex risk management challenges.

Key Responsibilities

• Lead GenAI Model Development: Architect and implement advanced ML and GenAI solutions, including LLM-based workflows, Retrieval-Augmented Generation (RAG), and prompt engineering.
• Strategic Collaboration: Partner with senior business stakeholders to identify high-impact opportunities for GenAI integration and translate business needs into scalable solutions.
• Production Integration: Oversee transition of proof-of-concept models into enterprise-grade production environments, ensuring compliance with governance, security, and performance standards.
• Innovation & Research: Explore emerging GenAI frameworks (e.g., LangChain, Hugging Face) and agentic design patterns to enhance model capabilities and reliability.
• Documentation & Compliance: Produce detailed documentation for model validation, audit, and regulatory requirements; manage internal and external review processes.
• Mentorship: Guide junior data scientists and analysts, fostering technical excellence and collaborative culture.
  Domain Expertise: Build deep knowledge of risk management processes to deliver contextual and impactful AI solutions.

Qualifications

Experience:

• 5+ years in data science or machine learning roles, with at least 2 years focused on GenAI, LLMs, or advanced NLP applications.
• Banking or financial services experience strongly preferred.

Technical Skills:

• Hands-on experience with prompt engineering, RAG workflows, embeddings, and vector databases.
• Proficient in Python; familiar with frameworks such as LangChain and Hugging Face.
• Strong understanding of GenAI evaluation methodologies and metrics.
• Familiarity with agentic design patterns (reflection, tool use, memory management).

Other Requirements:

• Proven ability to produce documentation in highly regulated environments.
• Excellent communication skills to convey complex analytics to non-technical stakeholders.
• Demonstrated leadership and ability to mentor team members.

Education:

• Master’s degree in Operations Research, Statistics, Mathematics, Computer Science, Economics, or Data Science required; PhD preferred.

Work Schedule

• Full-time, Monday–Friday, 40 hours per week
• Hybrid: Boston MA (4 days onsite, 1 day remote)

Pay Transparency

• The salary range for this position is $120,000 - $160,000 per year, plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the work location, and relevant skills and experience.  

• We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens’ paid time off policy exceeds the mandatory, paid sick or paid time-away policy of very local and state

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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, 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.