Consultative Offerings - Government & Public Services - Summer Scholar - AI and Data Engineering

Deloitte T.T.L.
Arlington, VA, United States
20 days ago
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Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Compensation
$89,440
Working hours
Regular working hours

Tech stack

Artificial Intelligence Information Engineering Machine Learning Information Technology

Requirements

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others, * Must be currently enrolled in an accredited college or university and expected to graduate by Summer 2028 pursuing a bachelor’s degree or higher in Artificial Intelligence, Computer Science, Computational Engineering, Data Science, Machine Learning, Robotics, or a related/equivalent program
  • Strong academic track record (3.0 cumulative GPA required)
  • You must reside within a commutable distance (e.g. 100-mile radius) of your assigned office with the ability to commute daily, if required
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Ability to obtain and maintain a U.S. Security Clearance
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Candidates must be at least 18 years of age at the time of employment.

Preferred:

  • 3.4 cumulative GPA preferred
  • Internship, project, or coursework experience in artificial intelligence, computer science, computational engineering, data science, machine learning, or robotics.

This is an entry-level opportunity intended for candidates interested in beginning or building a career in this field. We welcome applicants from a range of educational and professional backgrounds who meet the qualifications for the role. For roles that require a year or more of work experience, please review the experienced jobs within our careers site.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current wage is $43/hour.

About the company

  • This Summer Scholar architects, designs, develops, and deploys enterprise solutions that span the full spectrum of Artificial Intelligence, including Chatbots, Virtual Assistants, Machine Learning, and Cognitive Services. This role combines deepexpertisein advanced algorithms and scientific methods to build intelligent systems capable of interpreting data, making decisions, and uncovering actionable business insights. By mergingexpertisein AI, data engineering, and enterprise architecture, thisScholarempowers organizations toleveragedata-driven intelligence and scalable solutions to meet evolving business and agency needs., Deloitte’s Government & Public Services practice serves government agencies, higher education institutions, nonprofit organizations, and other public sector organizations. Teams work across strategy, operations, technology, and transformation efforts to help clients improve mission outcomes and organizational performance. Professionals in the practice have opportunities to build specialized experience while working in a collaborative, growth-oriented environment.

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