Sr Data Scientist- Wealth Management & Private Banking

Senior Data Scientist

The Senior Data Scientist will serve as a strategic analytics partner to Citizens Wealth Management and Private Banking, combining advanced predictive modeling with campaign analytics and cross-functional collaboration to drive client acquisition, retention, and AUM growth. Working closely with business leaders, digital media partners, and technology stakeholders, you will translate complex data into marketing strategies and actionable insights that directly influence business outcomes.

Primary responsibilities include

• Serve as a strategic analytics partner to Wealth Management business leaders, proactively identifying opportunities to leverage data and modeling to drive client acquisition, retention, and AUM growth.
• Develop, validate, and deploy predictive models using a range of statistical and machine learning techniques, with a focus on accuracy, interpretability, and business applicability.
• Partner with internal business stakeholders to translate ambiguous business questions into well-defined analytical problems, selecting appropriate modeling approaches (ensemble methods, decision trees, neural networks, multivariate techniques) to drive outcomes.
• Develop structured analytic plans that account for available data, business partner requirements, and delivery timelines.
• Collaborate with digital media and marketing partners to analyze campaign performance, support ongoing reporting, and provide insights that inform testing strategies.
• Execute end-to-end data preparation including attribute identification, exploratory analysis, transformation, and feature engineering.
• Manage multiple concurrent deliverables in a deadline-driven environment, maintaining quality and communication across stakeholders.
• Lead cross-channel marketing analytics and measurement across mail, email, paid social, programmatic, TV, radio, and OOH — owning KPI standardization, reporting cadence, and data quality across platforms and partners.
• Communicate analytical findings clearly through reports, presentations, and visualizations tailored to non-technical business audiences.

Qualifications, Education, Certifications and/or Other Professional Credentials

• Required Qualifications
  • Master's degree in Statistics, Data Science, Analytics, Computer Science, Mathematics, Economics, or other directly related field
  • 4 – 6 years of experience in data modeling, statistical analysis, and machine learning to solve business problems
  • Proficiency in Python for data manipulation, modeling, and automation
  • Demonstrated ability to work with large quantities of data, excellent SQL skills
  • Demonstrated experience developing and deploying predictive models using machine learning and statistical methods, with demonstrated application to real business problems, preferably in financial services
  • Excellent written and verbal communication skills, ability to convey actionable and understandable business intelligence
  • Proven ability to work cross-functionally with business and technology stakeholders
• Preferred Qualifications
  • Experience in financial services is preferred, but not required
  • Exposure to marketing analytics concepts such as ROMI, CPC/CPM, or funnel-based performance measurement
  • Demonstrated ability to shepherd analytical models from scoping through deployment, working cross-functionally with business partners, technology, and risk/compliance stakeholders
  • Familiarity with cloud-based data environments, including AWS services such as S3 and Redshift

Hours & Work Schedule

• Hours per Week: 40
• Work Schedule: Monday - Friday

Pay Transparency

• The salary range for this position is $125,000-165,000 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 very local and state jurisdiction in the United States. For an overview of our benefits, visit

Required Skills

• Business Data Analysis
• Business Savvy
• Customer Journey Orchestration
• Diversity and Inclusion (D&I) Strategy and Policy
• Machine Learning
• Programming and Scripting Languages
• Statistics
• Technical Writing

About Us

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.

Equal Employment and Opportunity Employer

Job Applicant Data Privacy Policy

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.

Job Info

• Job Identification 45797
• Job Category Data & Analytics
• Posting Date 04/23/2026, 07:52 PM
• Apply Before 05/29/2026, 04:00 AM
• Degree Level Master's Degree
• Job Schedule Full time
• Job Shift 1st
• Locations 4249 Easton Way Suite 200, Columbus, OH, 43219-6170, US 200 Station Drive, Westwood, MA, 02090, US
• Working Hours 40
• Career Site Category Data Analytics