• Develop predictive models and algorithms using Python, utilizing machine learning and statistical techniques. • Conduct exploratory data analysis to uncover patterns, trends, and relationships in the data. • Connect to various APIs to collect relevant data and integrate external data sources into our analytics pipeline. • Utilize SQL for data extraction, manipulation, and querying from relational databases. • Collaborate with stakeholders to understand business requirements and translate them into analytical solutions. • Communicate findings and insights effectively to both technical and non-technical audiences through visualizations, reports, and presentations. • Stay updated with the latest advancements in data science, machine learning, and related fields, and apply them to improve our analytical capabilities.

• Framing ambiguous problems, defining what success looks like, and translating business challenges into measurable analytical strategies. • Owning and evolving scalable data models, pipelines, and core metrics that serve as the long-term foundations for operational performance in Sales and Membership Operations. • Building and iterating on analytical and modeling solutions, shipping quickly, learning from real-world feedback, and refining systems to drive measurable impact. • Leveraging emerging ML/AI tools thoughtfully, integrating them into production workflows where they add leverage, grounded in strong data fundamentals and clear business outcomes.

• Monitoring and analysis of metrics through dashboards • Extraction and manipulation of data using programming tools such as SQL and Python • Preparation of analyses to support decision-making • Management of fraud prevention tools

Title: Sr Data Scientist- Conversational AI & NLU Location:  Westwood, Massachusetts; Johnston, Rhode Island Category: Data Analytics Job ID: 46017 Full/Part Time: Full Time Shift: 1ST Job Description: The Senior Data Scientist – Conversational AI & NLU is responsible for designing, developing, evaluating, and optimizing conversational AI solutions across chat and voice channels. This role focuses on GenAI-driven conversational experiences, agentic multi‑turn conversations, and rigorous evaluation of NLU and LLM-based systems, while serving as a primary interface between business stakeholders and data science delivery teams. Key Responsibilities - Design, develop, and optimize GenAI-powered conversational AI solutions using advanced prompting strategies, structured evaluation frameworks, continuous monitoring, and solution performance reporting - Build and improve agentic, multi-turn conversational experiences with robust context management, memory strategies, and conversation state handling - Own experimentation and evaluation of NLU, LLM, and conversational AI solutions, including hypothesis definition, metric design, error analysis, and recommendation of targeted improvements - Act as the primary data science partner to business stakeholders by gathering requirements, clarifying objectives, translating needs into actionable analytical and modeling tasks, and driving execution to measurable outcomes - Assign, coordinate, review, and provide technical guidance on work delivered by onshore and offshore data scientists, ensuring analytical rigor, consistency, and timely delivery - Support end-to-end delivery of conversational AI and NLU capabilities for IVR and chat solutions, including intent understanding, entity extraction, dialogue flows, and conversational quality assessment - Analyze conversation data such as chat logs, call transcripts, and speech-to-text outputs to identify gaps, failure modes, and optimization opportunities across user journeys - Define and report solution-level KPIs related to conversation success, containment, task completion, accuracy, customer effort, and overall experience quality - Ensure conversational AI solutions align with enterprise standards, governance, and regulatory expectations, particularly in highly regulated environments Required Qualifications - Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related quantitative field - 5+ years of experience in data science, with at least 3+ years focused on conversational AI, NLU, or NLP-driven systems - Strong programming and analytical skills in Python, applied primarily to modeling, experimentation, and evaluation - Hands-on experience with LLM Evaluation frameworks like RAGAS, DeepEval, LangSmith, etc. - Proven ability to design, run, interpret, and communicate the results of NLU and conversational AI experiments, translating insights into concrete model and conversation improvements - Experience supporting text- and voice-based, multi-turn, actionable conversational experiences within contact center or customer-facing platforms - Strong communication skills with demonstrated ability to explain complex analytical concepts to technical and non-technical stakeholders Preferred Qualifications - Hands-on experience with Amazon Connect, Amazon Bedrock, or Amazon Lex - Practical experience applying LLMs and GenAI techniques to conversational or customer experience use cases - Familiarity with IVR analytics, conversational logging frameworks, call transcripts, and speech-to-text data analysis - Experience working in banking, financial services, or other regulated enterprise environments Hours & Work Schedule - Hours per Week: 40 - Work Schedule: Monday - Friday - Hybrid: 4 days per week onsite, 1 day remote Pay Transparency The salary range for this position is $124,000 - $165,000 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 every local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits . 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.