Sr Data Scientist- Wealth Management at Citizens Financial Group

Job 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 • Hybrid: 4 days per week on-site, 1 day remote Pay Transparency The salary range for this position is $124,000– $165,000 per year, plus an opportunity to earn additional incentive earnings. Actual pay is based on various factors including, but not limited to, the budget, work location, and relevant skills and experience. No other portions of the posting are changing, including benefits language or incentive guidance (e.g., Teller roles should continue to remove incentive language as noted). ‌‌ 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 jobs.citizensbank.com . #LI-Citizens2

Requirements

Must-haves

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.
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
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

Nice-to-haves

Preferred Qualifications • Experience in financial services is preferred, but not required

Application prep

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Keywords to mirror

machine learningpythonsqlaws

Platform: oracle-cloud
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

Paid Time Off

Wellness