Strategic Data Scientist & AI Engineer

Deloitte France; Chicago (IL); On-site; USD 96,000 - 188,000; Full time

Job summary

Deloitte is seeking a Data Scientist within the Strategy & Transactions team in the United States to lead AI strategy, data modeling, and development of novel AI services for clients. You will work with interdisciplinary teams to translate data into practical applications while navigating client needs.

The role emphasizes independent work, strong communication, and delivering production-ready models, with opportunities to explore cancer detection, drug discovery, and health analytics in a

Qualifications

• Master's or PhD in a relevant STEM field.
• 2+ years in AI/ML algorithm development and data analysis.
• 2+ years applying ML/DL techniques in real-world projects.
• 2+ years deploying ML models with Kubernetes, Docker, and ML tooling.
• 2+ years cloud deployment on AWS, Azure or GCP.
• Live within commuting distance to Deloitte offices.
• Willingness to travel around 10%.
• Sponsorship may be available.

Responsibilities

• Guide clients with AI strategy and deploy models to production.
• Deliver AI/ML solutions with thought leadership and maintenance.
• Research novel ML approaches and optimize training.
• Validate models via reviews and tests.
• Collaborate with cross-functional teams to align with business goals.

Skills

AI/ML development

ML in production

Cloud deployment

Client collaboration

Communication

Autonomy in work

Education

Master's or PhD in STEM

Tools

Kubernetes

Docker

TensorRT/Triton

RAPIDS

Kubeflow

MLflow

AWS

Azure

GCP

Job description

Deloitte is seeking a Data Scientist within the Strategy & Transactions team in the United States to lead AI strategy, data modeling, and development of novel AI services for clients. You will work with interdisciplinary teams to translate data into practical applications while navigating client needs.

The role emphasizes independent work, strong communication, and delivering production-ready models, with opportunities to explore cancer detection, drug discovery, and health analytics in a