Citizens is looking to develop the next generation of Colleagues by supporting innovative data & analytics initiatives across the bank, aiming to enhance customer experience, optimize business spend, identify new market opportunities, provide business insights, model development, and engineer metrics & dashboarding.
Requirements
- Education in statistical theory for the purpose of creating robust and sound statistical models and analytic outputs
- Experience working with raw as well as prepared datasets with the ability to effectively clean and process data
- Proficiency with statistical or machine learning programming languages / tools: SQL, Python, Pandas, Jupyter Notebooks, and experience with cloud computing environments (e.g., AWS, Azure, or GCP)
- Familiarity with tools such as Redshift, Snowflake, Amazon S3, Amazon SageMaker
Responsibilities
- 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 your findings and recommendations to peers and business leaders as part of a capstone presentation.
Other
- Successfully complete a video interview assessment within 4 days of receiving the link. If not completed within the timeframe, your application will be automatically withdrawn from consideration
- Currently pursuing a bachelor’s degree in Statistics, Data Science, Mathematics, Economics, Analytics, Computer Science, or other data & analytic-related degree
- Minimum GPA of 3.0
- Strong attention to detail, with the ability to work independently and manage time effectively in a fast-paced environment
- Demonstrates appreciation for the varied backgrounds, experiences, and viewpoints of others. Encourages open collaboration where different ideas and approaches are welcomed, leading to more thoughtful and informed outcomes.
