Sr Data Scientist- Wealth Management & Private Banking at Citizens

Columbus, Ohio, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Jul, 26

Salary

0.0

Posted On

24 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Predictive modeling, Machine learning, Statistical analysis, Data preparation, Feature engineering, Marketing analytics, Data visualization, Business intelligence, Cross-functional collaboration, Strategic planning, Campaign analytics, Reporting, AWS

Industry

Financial Services

Description

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 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 [https://jobs.citizensbank.com/Job-Applicant-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.

Responsibilities

The Senior Data Scientist will serve as a strategic analytics partner to Wealth Management and Private Banking to drive client acquisition, retention, and AUM growth. Responsibilities include developing predictive models, managing cross-channel marketing analytics, and translating complex data into actionable business strategies.