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Data Scientist

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Citizens

16d ago

  • Job
    Full-time
    Junior & Mid Level
  • Data
    IT & Cybersecurity
  • Boston

AI generated summary

  • You need 1-3 years in GenAI, data modeling, and statistical analysis, with skills in Python, prompt engineering, and metrics. Strong communication and collaboration skills are essential.
  • You will develop ML models, collaborate with stakeholders to enhance workflows using GenAI, ensure model scalability with tech teams, and document processes for compliance and audits.

Requirements

  • 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.
  • Bachelor’s degree in Operations Research/Statistics/Mathematics/Physics/Computer Science/Economics/Data Science required, Masters preferred.

Responsibilities

  • 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.

FAQs

What is the primary focus of the Data Scientist role in this job description?

The primary focus is to support the development of Generative AI use cases related to various areas of Risk Management, including Anti-Money Laundering (AML), Credit Risk, and Operational Risk.

What qualifications are necessary for applying to this Data Scientist position?

A Bachelor’s degree in Operations Research, Statistics, Mathematics, Physics, Computer Science, Economics, or Data Science is required, with a Master’s degree preferred. Additionally, 1-3 years of relevant experience in building GenAI use cases, data modeling, and statistical analysis is required, or equivalent project work can be considered.

What type of experience is preferred for candidates applying for this role?

Experience working in banking and with model risk management in the model validation process is preferred but not required.

What programming language should candidates be proficient in?

Candidates should be proficient in Python and familiar with relevant frameworks such as LangChain.

Is experience with GenAI use cases required?

Yes, candidates should have 1-3 years of experience building GenAI use cases, as well as hands-on experience with prompt engineering and Retrieval Augmented Generation.

How does the job support the transition of proof-of-concept models?

The Data Scientist will partner with Technology, Data, and Enterprise GenAI platform teams to ensure a seamless transition of proof-of-concept models into scalable production environments while adhering to governance and performance standards.

What is the work schedule for this position?

The work schedule is full-time, Monday–Friday, 40 hours per week, with a hybrid model in Boston, MA, requiring 4 days onsite and 1 day remote.

What is the salary range for this Data Scientist role?

The salary range for this position is $90,250 - $115,000 per year, plus an opportunity to earn an annual discretionary bonus.

What benefits are offered by Citizens?

Citizens offers competitive pay, comprehensive medical, dental, and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs, and more.

What is the company’s stance on equal employment opportunity?

Citizens is committed to providing equal employment and advancement opportunities to all colleagues and applicants without regard to various protected categories and is dedicated to fostering an inclusive culture.

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Citizens

Finance
Industry
10,001+
Employees

Mission & Purpose

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