FAQs
What is the duration of the internship?
The internship lasts for 6 months, starting from January or February.
What academic background is required for this role?
Candidates should be currently pursuing a Master's degree in Operations Research, Machine Learning, Computer Science, Mathematics, or a related field.
What specific optimization techniques should I be familiar with?
Candidates should have exposure to optimization techniques such as linear programming, mixed-integer programming, and stochastic optimization.
What programming languages and tools are necessary for this internship?
Proficiency in Python and experience with optimization libraries such as Gurobi, CPLEX, or similar tools are required.
Is knowledge of AI and machine learning necessary for the internship?
While a strong foundation in operations research and optimization is essential, familiarity with AI and machine learning can be beneficial, especially in applying these techniques to business problems.
Will there be an opportunity to work directly with customers?
Yes, if the opportunity arises, interns may contribute to proof-of-concept projects with Dataiku customers, applying developed optimization techniques in real-world settings.
Are fluency in English and French required for this position?
Yes, candidates must be fluent in both English and French, as strong written and verbal communication skills are essential.
What types of projects will I be working on during the internship?
Interns will study advanced optimization techniques, implement them in realistic business scenarios, and create technical assets like a public demo and blog post to showcase their work.
How will my work be presented during the internship?
Interns will present their work to internal teams, including data scientists and solution engineers, to support customer-facing teams with new insights.
What is the company culture like at Dataiku?
Dataiku emphasizes innovation, collaboration, and personal growth, and is committed to fostering a diverse and inclusive workplace.