Summary
Dassault Systèmes is a global leader in 3D design software, and they are seeking an AI Product Strategy Intern to support the BIOVIA Strategy team. The role involves researching markets, identifying needs, and developing proof-of-concept pipelines to enhance the brand's growth in Scientific AI and platform-aligned workflows.
Responsibilities
- Support the BIOVIA Strategy team in driving the growth of the brand by researching markets, identifying needs, and analyzing current solutions and opportunities
- Contribute to Formulation Design and Scientific Informatics growth by identifying, scoping, and prototyping high-value, technically credible use cases that connect Formulation workflows with Scientific Informatics assets (Pipeline Pilot / ML Workbench) and process analytics
- Develop lightweight proof-of-concept pipelines, data analyses, and prototype workflows for internal enablement, customer workshops, and early pilots
- Accelerate portfolio convergence around Scientific AI and platform-aligned workflows, including 3DEXPERIENCE-connected narratives
- Collaborate with the Strategy Planning lead on prioritization, executive alignment, GTM direction, partnerships, and investment recommendations
Skills
- Education: Technology or Innovation MBA, MS in Science or Engineering (or exceptional BS)
- Strong proficiency in data processing and rapid prototyping
- Solid ML fundamentals (practical experience with scikit-learn; PyTorch/TensorFlow desirable)
- Experience with scientific data workflows (assay/analytical data, formulation data, stability/process data) and reproducible pipelines
- Exposure to agentic AI development
- Experience in R&D in CPG or Chemicals industry
Qualifications
Must Haves
- Education: Technology or Innovation MBA, MS in Science or Engineering (or exceptional BS)
- Strong proficiency in data processing and rapid prototyping
- Solid ML fundamentals (practical experience with scikit-learn; PyTorch/TensorFlow desirable)
- Experience with scientific data workflows (assay/analytical data, formulation data, stability/process data) and reproducible pipelines
- Exposure to agentic AI development
- Experience in R&D in CPG or Chemicals industry