Daily Missions

• Design and develop Bayesian models to provide innovative decision-making tools for financial teams, focusing on the consumer market (revenue modeling based on its components: subscriber base at the beginning of the month, attrition, gross sales, migrations, average revenue per subscriber).
• Collaborate with financial and data teams to understand business challenges and translate needs into high-performing analytical solutions.
• Implement and validate models in a production environment.
• Analyze results and provide recommendations to optimize financial processes.

Occasional Missions and/or Project Examples

• Participate in setting up a PowerBI dashboard to clearly and interactively present the results of developed models.
• Communicate project results to financial teams and the Orange AI community, promoting knowledge sharing and tool adoption.

About You

You are in the final year of an engineering school or specialized master's program in data science or statistics. You demonstrate excellence in probabilities and statistics, and proficiently use Python and the sklearn environment.

You must have completed a course in Bayesian statistics.

Your Hard Skills

• Advanced proficiency in Python and data science libraries (scikit-learn, pandas, numpy).
• In-depth understanding of advanced mathematics behind Bayesian models, with prior experience in academic projects in Bayesian modeling and applied statistics essential for designing precise and robust solutions.
• Practical experience with PyMC, for example, through student projects, demonstrating your ability to manipulate probabilistic programming tools.
• Understanding of financial challenges and ability to translate business needs into analytical solutions.
• Knowledge of best practices for model development and validation in a production environment.
• Proficiency in data visualization tools, ideally PowerBI, is a plus.

Your Soft Skills

We are looking for a curious and meticulous individual who can work in a team and communicate effectively with diverse profiles. Autonomy, adaptability to technical challenges, creativity in problem-solving, and the ability to learn independently in directions provided by the supervisor will be key assets for success in this internship.

Additional Information

This internship offers a unique opportunity to engage in applied research, developing innovative Bayesian approaches never explored before within the team.

You will enhance your skills in advanced modeling in a concrete financial context while mastering industrial data science tools.

You will also develop your ability to communicate complex results to various stakeholders and collaborate in an interdisciplinary environment, contributing to advancing the analytical practices of the group.

Please note, it is possible to start this internship earlier in the year (from January 2025).