About the position
At Deloitte, we are committed to transforming data into actionable insights and applying innovative AI technologies across various industries. As an Artificial Intelligence & Data Engineering Summer Scholar, you will play a vital role in a client service team, collaborating directly with clients and Deloitte leaders to tackle complex challenges, enhance performance, and create value across diverse sectors. Your work will involve supporting strategic business transformations through advanced analytics and artificial intelligence, addressing our clients' most intricate issues. Your responsibilities will include developing machine learning models, implementing AI-driven processes, and crafting innovative AI applications to enhance business operations. You will also engage in large-scale data projects aimed at business and IT transformation, design and run data and analytics solutions as part of a DevOps team, and formulate and execute technology strategies that leverage AI and data to meet executive-level business objectives. At Deloitte, we prioritize your success and provide a technical career path that allows you to grow into various engineering roles, including data scientist, AI model developer, machine learning engineer, data engineer, and analytics and insights engineer, among others. Our Deloitte Consulting team is dedicated to embedding technology insights into our clients' organizational goals while designing, creating, implementing, and deploying impactful solutions. Engagement teams at Deloitte not only drive value for our clients but also contribute to the communities in which we operate, ensuring that our solutions have a lasting impact both within and beyond client settings.
Responsibilities
- Develop machine learning models to address client needs.
- Implement AI-driven processes to enhance business operations.
- Craft innovative AI applications for various industries.
- Engage in large-scale data projects for business and IT transformation.
- Design and run data and analytics solutions as part of a DevOps team.
- Formulate and execute technology strategies leveraging AI and data.
Requirements
- Bachelor's degree in Computer Science, Data Science, Statistics, Applied Math, or a related field, completed by Spring/Summer 2026.
- Experience with data processing and analysis tools (e.g., SQL, Python, R, Informatica, Power BI).
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn).
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark).
- Strong academic track record (3.0 cumulative GPA required, 3.3 cumulative GPA preferred).
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
- Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Candidates must be at least 18 years of age at time of employment.
Benefits
- Formal and informal mentorship and training during the internship program.
- Access to hands-on exercises and activities to develop technical skills and professional behaviors.
- Opportunity to work with talented consulting professionals and gain real-world experience.
