About the job
At Pathward, we are committed to nurturing talent from anywhere through a hybrid, remote-office working model!
We have physical locations in Sioux Falls, SD, Scottsdale, AZ, Louisville, KY, Troy, MI, Franklin, TN, and Easton, PA.
Our mission is to foster financial inclusion for all™. As a financial empowerment company, we collaborate with innovators to enhance financial availability, choice, and opportunities for everyone. We aim to dismantle the barriers imposed by traditional institutions and promote economic mobility by offering secure, responsible, and high-quality financial products.
We are a diverse team of problem solvers and innovators who believe that our differences strengthen us and prepare us for success. Our *HUMBLE*HUNGRY*SMART* approach embodies our commitment to embracing the voices of our employees, customers, partners, and the communities we serve.
About the Role:
As a Data Science Intern, you will develop and implement methodologies and systems to analyze and consolidate varied data sets, generating insights and solutions for customer service improvement and program enhancement. You will be responsible for identifying and interpreting insights from diverse data sources and effectively communicating your findings to management.
What You Will Do:
- Collect, clean, and preprocess data from multiple sources to ensure its quality and readiness for analysis.
- Utilize statistical methods and analytical tools to analyze data, identifying trends and insights that inform business decisions.
- Create predictive and prescriptive models to forecast future outcomes and enhance business processes.
- Prepare reports and visualizations to convey findings to stakeholders, supporting informed decision-making.
- Collaborate with business units to understand their data requirements and provide actionable insights that drive strategic initiatives.
- Evaluate and monitor the effectiveness of implemented models and strategies, making adjustments as necessary to optimize outcomes.
- Conduct ad hoc analyses to respond to various business inquiries as needed.
- Stay abreast of the latest trends and technologies in data analytics, continuously enhancing analytical methods and processes.
- Perform other duties as assigned.
