Data Science Undergraduate 2027 Summer Intern

About the role

We are looking for interns to join our 10‑week summer internship program and support innovative data & analytics initiatives across the bank. Interns will experience a dual structure: half of the time they will be partnered with a host team within the Data & Analytics community, working on assignments such as statistical modeling, machine learning, natural language processing, computer vision, artificial intelligence, advanced analytics, and related areas. The other half is spent on a cross‑functional team collaborating with other Data & Analytics interns, colleagues, and business partners on a real‑world project that spans the full project cycle. Past projects have focused on enhancing the customer experience, optimizing business spend, identifying new market opportunities, providing business insights, model development, and engineering metrics & dashboarding. Interns are expected to adopt a hybrid work structure and work out of one of our headquarters in Columbus, OH; Johnston, RI; or Boston, MA.

Responsibilities

• Collaborate with business partners and mentors to understand project goals, business needs, and available data sources.
• Participate in the data preparation process, including attribute selection, exploratory data analysis (EDA), data transformation, and working with temporal data structures.
• Analyze both structured and unstructured data to uncover trends, patterns, and actionable insights.
• Apply statistical techniques such as hypothesis testing, model development, and validation to align solutions with business objectives.
• Conduct hands‑on analysis using text mining, quantitative methods, and operational data techniques.
• Incorporate feedback from stakeholders to iteratively refine models and approaches for maximum business impact.
• Present findings and recommendations to peers and business leaders as part of a capstone presentation.

Basic Qualifications

• Successfully complete a video interview assessment within 4 days of receiving the link.
• Currently pursuing a bachelor’s degree in Statistics, Data Science, Mathematics, Economics, Analytics, Computer Science, or a related data‑focused field.
• Expected graduation date between December 2027 and Spring 2028.
• Minimum GPA of 3.0.
• Education in statistical theory for creating robust statistical models and analytic outputs.
• Experience working with raw and prepared datasets, with the ability to clean and process data effectively.
• Proficiency with statistical or machine‑learning programming languages/tools: SQL, Python, Pandas, Jupyter Notebooks, and experience with cloud environments (e.g., AWS, Azure, or GCP).
• Strong attention to detail, ability to work independently, and manage time effectively in a fast‑paced environment.
• Demonstrated appreciation for diverse backgrounds, experiences, and viewpoints, encouraging open collaboration.

Preferred Qualifications

• Team Collaboration: Ability to thrive in a team environment and collaborate with colleagues from diverse backgrounds and business units.
• Communication Skills: Strong written and verbal communication, able to explain analytical findings and business insights to non‑technical stakeholders.
• Analytical Thinking: Solid analytical reasoning and problem‑solving skills, capable of breaking down complex problems using logic and quantitative methods.
• Curiosity & Initiative: Proactive approach to asking thoughtful questions, researching unfamiliar topics, and seeking clarity on project goals.
• Resilience & Drive: Persistence and tenacity in working through challenges, adapting to feedback, and staying focused on delivering results.
• Business Data Analytics: Experience collecting, identifying, analyzing, and interpreting business data to meet business needs, with an understanding of business data analysis concepts.
• Familiarity with tools such as Redshift, Snowflake, Amazon S3, and Amazon SageMaker.

Hours and Schedule

Hours per week: 40

Work schedule: Monday – Friday, 8:30 am – 5:00 pm

Permanent work authorization in the United States is required. This position is not eligible for CPT, OPT, or visa sponsorship, now or in the future.

Why Work for Us

At Citizens, you’ll find a customer‑centric culture built around helping our customers and giving back to local communities. You’ll join a supportive and collaborative workforce with access to training and tools that accelerate your potential and maximize career growth.