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Deloitte Deloitte Consulting, US Delivery Center, Government & Public Services - Solution Summer Scholar (Data Science) in Gilbert, Arizona

Interested in creating mission critical solutions? Together with our other delivery centers around the world, we provide development and sustainment services for our clients, both pre- and post-implementation. Here you'll get the chance to work on projects that will build on your technical and business skills, support organizations undergoing large-scale transformation, and help our clients achieve a higher level of service and business value.

Work you'll do

As a Solution Summer Scholar (Intern), you'll work with an experienced team to help organizations navigate the future with confidence, embracing decision-making with clear, data-driven choices. Your work could include the following:

  • Perform exploratory data analysis and data pre-processing to arrive at patterns to define analytical models

  • Work across the end-to-end analytics process, including cleansing and wrangling structured and unstructured data, designing predictive models, extracting insights and findings, visualizing outputs, and communicating outcomes

  • Build, test, validate and demonstrate analytical models through various relevant error metrics and calibration techniques

    The team

    Our US Delivery Center team is comprised of deeply passionate and experienced professionals who guide clients through their most complex challenges . We work with clients and help them develop custom software solutions, manage their applications and databases, and provide strategic recommendations to help them enhance their businesses' operations, processes, and performance. Learn more about the US Delivery Center.

    Qualifications

    Required

  • Bachelor's degree in process (with expected graduation no later than August 2023) in these or related areas of study

  • Technology and Science: Analytics, Data Science, Math/Statistics, Computer Science, Machine Learning

  • Strong academic track record (minimum GPA of 3.0)

  • Experience with Python and/or R programming

  • Modeling experience using techniques such as logistic and linear regression, decision trees, neural networks or clustering techniques

  • Experience in data wrangling/cleansing, statistical modeling, and programming

  • Willingness to travel up to 10 percent of the time; travel varies based on project assignment requirements. While 10% of travel is a requirement of the role, due to COVID-19, non-essential travel has been suspended until further notice.

  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

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