Description
Data Scientist - GenAI Use Case
The primary area of responsibility for this role is to support the development of Gen AI use case covering various areas of Risk Management like Anti Money Laundering (AML) and Sanctions, Credit Risk, Operational Risk etc. However, depending on candidate experience, the role will also cover additional areas of responsibility including model development for credit risk models and other areas of regulatory compliance.
As a Data Scientist, you will work alongside Senior and Principal Data Scientists and subject matter experts to work on Gen AI use cases by collecting data, understanding the business process that will use Gen AI, prompt engineering and integration as we build out Gen AI use cases.
The Data Scientist will be responsible for:
Developing models using machine learning (ML), statistical, and other quantitative methods and supporting implementation of both Vendor and internally developed models.
Collaborate with business stakeholders to understand operational workflows and identify opportunities for enhancement through GenAI-whether via code-based automation or leveraging Large Language Models (LLMs) for tasks such as summarization, classification, or conversational interfaces.
Partner with Technology, Data, and Enterprise GenAI platform teams to ensure seamless transition of proof-of-concept models into scalable production environments, adhering to governance and performance standards.
Respond to business-driven requests by translating requirements into actionable solutions, communicating methodologies clearly, and securing necessary approvals for implementation.
Prepare comprehensive documentation for GenAI use case, addressing validation, audit, and regulatory requirements. Manage feedback and findings from internal and external reviews, ensuring timely resolution and compliance.
Continuously build domain knowledge in the business areas where GenAI use cases are applied, enabling more @contextual and impactful model development.
Qualifications:
1-3 years of work experience building GenAI use cases, data modeling, statistical analysis, and relevant computing requirements. PhD. degree with project work in GenAI use cases can be considered in lieu of the work experience requirement.
Hands on experiences with Prompt engineering and Retrieval Augmented Generation (including ingesting, chunking, embedding and retrieval)
Familiar with agentic design patterns e.g. reflection, tooluse, memory management
Strong understanding of evaluation methodologies and metrics of GenAI models
Proficient in Python and familiar with relevant frameworks e.g. LangChain
Experience in producing documentation in a highly regulated environment
Strong verbal communication skills required with an ability to successfully communicate analytic results, business insights and resulting business implications to non-technical business partners.
Ability to work in a team environment and collaborate with colleagues who have a background in statistics, database development/maintenance, or information technology.
Experience in banking preferred but not required.
Experience working with model risk management in the model validation process.
Education and Certifications:
Bachelor's degree in Operations Research/Statistics/Mathematics/Physics/Computer Science/Economics/Data Science required, Masters preferred.
Work Schedule
Full-time, Monday-Friday, 40 hours per week. Hybrid in Boston MA 4 days onsite, 1 day remote.
Pay Transparency
The salary range for this position is $90,250 - $115,000 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 jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits.
LI-Citizens1
Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.
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.
Why Work for Us
At Citizens, you'll find a customer-centric culture built around helping our customers and giving back to our local communities. When you join our team, you are part of a supportive and collaborative workforce, with access to training and tools to accelerate your potential and maximize your career growth
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.
