Data Science Graduate Summer Internship

We’re developing the next generation of Colleagues!

The banking industry is evolving rapidly, driven by customer demands for great experiences, simple solutions, and innovative ideas. Join us as we look to enhance the customer and colleague experience by harnessing the power of data.

Experience during the program

Our summer internship program runs for 10 weeks, from late May to early August. Our program offers interns a unique dual experience. 

Interns spend half of their time on a team, collaborating with Data & Analytics colleagues and business representatives to work on a real-world project. Projects are tailored so interns can experience the full project cycle. Past projects centered on areas such as enhancing the customer experience, optimizing business spend, identifying new market opportunities, providing business insights, model development, and engineering metrics & dashboarding. Interns are assigned to projects based on their backgrounds and project locations. 

For the remainder of their time, interns are individually partnered with a host team within the analytic community to participate in ongoing work. Partnering areas may include statistical modeling, machine learning, natural language processing, advanced analytics, reporting, data engineering, programming, and other areas to support Line of Business, Sales, Marketing, et cetera, to make impactful business decisions. This component of the program provides interns with direct exposure to teams in areas that align to their education and interests.

Interns are expected to adopt a hybrid work structure and work out of our Columbus, OH location

Participants can expect to: 

• Perform statistical analysis to validate data models
• Analyze structured and unstructured data to identify trends and insights
• Perform hands-on text, quantitative, statistical, and operational analysis
• Work with business teams to review data sources and business logic
• Implement data formulation processes, including exploratory data analysis and data transformation
• Present contributions to colleagues and business leaders as a capstone exercise 

What you’ll need to apply

Basic Qualifications:

• Currently pursuing a graduate degree in Statistics, Data Science, Mathematics, or other data related field with experience in statistical modeling 
• Expected graduation date between December 2025 and Spring 2026 for master’s students or concurrently enrolled in a PhD program
• Minimum GPA of 3.0
• Experience working with raw as well as prepared datasets
• Proficiency with statistical or machine learning programming languages / tools: SQL, Python, Pandas, Cloud Computing

Preferred Qualifications:

• Ideal candidates would include experience with constrained optimization, simulation, and decision modeling
• Demonstrated ability to operate in a team environment, and collaborate with colleagues from a range of backgrounds
• Competency in SQL & Python, statistical methodology 
• Strong written and verbal communication skills, with an ability to successfully communicate analytic results, business insights, and business impact to a non-technical audience

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

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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.