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Equifax is launching a Data & Analytics Rotational Development Program designed for recent graduates pursuing a Master’s in Data Science or related fields. You will rotate through multiple analytics areas, applying Python, Hive/Impala, R or SAS to build analytical solutions and business insights for Equifax customers.
The program emphasizes in-office collaboration from Monday to Thursday, with Friday flexibility to work remotely.
Equifax is a market leader in providing total information solutions to businesses and consumers. Our products and services help companies minimize their financial risk and maximize growth opportunities while enabling consumers to better protect and manage their financial health. We accomplish our goals by drawing upon the experience, energy and teamwork of our employees, who consistently drive success by anticipating change and executing with confidence and passion.
Data and Analytics, the advanced analytical division of Equifax, offers state of the art solutions to current and emerging business challenges. Through our data analytics, customer insights, predictive modeling, and consulting services, we deliver the analytics and insights companies need to stay ahead. Our US Information Services team is seeking recent college graduates for data scientist positions to construct best in class analytical solutions and business insights for Equifax.
We believe great things happen when teams connect. Our schedule is built around 4 days of high-impact, in-office collaboration (Monday-Thursday), paired with Friday Flexibility to wrap up your week remotely.
During the Data & Analytics Rotational Program, you will work with project leads to leverage Equifax’s unique data assets and cutting edge technologies, like our Hadoop analytics platform to solve business problems for Equifax and our customers. D&A Associates rotate through 3 to 4 different areas within Data and Analytics. D&A Associates will creatively and efficiently solve analytical problems and create risk and marketing solutions for Equifax customers.