Summer Scholar: Data & AI Solutions Engineer

Deloitte France; McLean (VA); On-site; USD 85,000 - 115,000; Full time

Job summary

Deloitte is seeking a Data & AI Solutions Engineering Summer Scholar to tackle data-driven challenges at the intersection of AI engineering, data infrastructure, and forward deployment. You will build data pipelines, automate deployment of AI models, and turn insights into scalable client solutions with speed and substance.

You will collaborate across domains like AI, analytics, regulation, and strategy, demonstrating entrepreneurial thinking while delivering results in fast-paced environments.

Qualifications

• Must be currently enrolled in an accredited college or university and expected to graduate by Spring/Summer 2028 pursuing a bachelor's degree or higher in listed fields.
• Strong academic track record (minimum GPA 3.0).
• Experience or coursework in data processing and analysis tools (SQL, Python, R, Power BI) and familiarity with analytics, data visualization, or big data platforms (Tableau, Hadoop, Spark, AWS, Azure, Google Cloud).
• Willingness to travel up to 50% and be legally authorized to work in the United States without sponsorship.

Responsibilities

• Work at the intersection of AI engineering, data infrastructure, and deployment to build data-driven solutions with speed and scale.
• Develop pipelines and automate deployment of AI/ML models and data products.
• Translate data insights into actionable client solutions and engage with Deloitte teams and stakeholders.
• Collaborate across domains including AI, advertising, regulatory risk, and strategy to solve business challenges.

Skills

SQL

Python

Power BI

R

Data Visualization

Education

Bachelor's degree or higher in Computer Science / Data Science / Statistics / Applied Math / Data Analytics / MIS / Economics / Finance / Business Analytics / Mathematics / Engineering

Tools

Tableau

Hadoop

Spark

AWS / Azure / Google Cloud

Job description

Deloitte is seeking a Data & AI Solutions Engineering Summer Scholar to tackle data-driven challenges at the intersection of AI engineering, data infrastructure, and forward deployment. You will build data pipelines, automate deployment of AI models, and turn insights into scalable client solutions with speed and substance.

You will collaborate across domains like AI, analytics, regulation, and strategy, demonstrating entrepreneurial thinking while delivering results in fast-paced environments.