This is a golden age for business AI applications, thanks to a frantic rate of scientific research, a culture of openness with many scientific publications, models, and software libraries freely available, and increasing results directed towards concrete, practical tasks. At Dataiku, we help our customers leverage cutting-edge mathematical and AI techniques to solve complex problems at scale.
In this context, the internship will study advanced optimization techniques, implement them in a realistic business scenario, and create technical assets (such as a blog post and a sample project) to help Dataiku users leverage these techniques for concrete use cases.
Responsibilities:
- Study recent advancements in operations research, focusing on techniques such as linear programming, mixed-integer programming, stochastic optimization, or network flows.
- Implement optimization models in Python to solve a realistic use case that can be generalized across industries.
- Create a public demo and technical blog post to showcase how optimization models can be applied in Dataiku.
- Present your work to internal teams, including data scientists and solution engineers, to support customer-facing teams with new insights.
- If the opportunity arises, contribute to a proof-of-concept project with a Dataiku customer to apply the developed optimization techniques in a real-world setting.
Requirements:
- Currently pursuing a Master’s degree in Operations Research, Machine Learning, Computer Science, Mathematics, or a related field.
- Exposure to optimization techniques such as linear, mixed-integer, or non-linear programming.
- Proficiency in Python and experience with optimization libraries (e.g., Gurobi, CPLEX, or similar tools).
- Curiosity, strong problem-solving skills, and a willingness to explore new techniques for solving complex business problems, such as supply chain optimization, network flow, demand forecasting, and resource allocation, all within the Dataiku platform.
- Strong written and verbal communication skills.
- Fluent English and French.
