End-of-studies internship - Data Analyst/Scientist H/F

Mission: An internship will give you the opportunity to apply your skills in practice, learn from experts, and contribute to real and meaningful projects. Being a consultant means participating in projects that address both technical challenges and business-oriented problems in various sectors (luxury, retail, banking/insurance, industry, etc.). Our missions combine technical and operational components, allowing you to deepen your knowledge in innovative fields. You will participate in the entire data lifecycle to develop and support our clients' strategic data applications. As part of your projects, you will be responsible for the following tasks:

• You will participate in defining client needs and developing the methodologies and architectures to be implemented to solve these challenges using data and AI.
• You will identify, integrate, and structure data (sources, ETL/ELT connectors, modeling) to transform raw data into robust and usable Key Performance Indicators (KPIs).
• You will conduct in-depth analyses and develop models (statistical, machine learning, AI algorithms, agents) to solve complex problems (customer behavior, forecasting, optimization).
• You will present the results of your work and implement solutions by creating visualization tools for business teams and applying best programming practices.

Depending on your preferences and desires, you will be assigned a task with an emphasis on the technical or business component.

Below are examples of tasks:

• Optimizing in-store order fulfillment using a constraint optimization algorithm.
• Modeling churn with supervised learning at the store and department level to personalize retention actions and maximize customer loyalty.
• Implementing website navigation data-based segmentation for e-commerce to personalize the real-time customer experience.
• Identifying seasonal stores by turnover to adjust weekly budgets and optimize marketing campaign targeting.
• Evaluating the profitability of commercial campaigns to refine customer targeting, eliminate cannibalization effects, and maximize turnover gains.
• Mapping socio-demographic and transactional data to understand purchasing behavior and preferences, preferred channels, and lifetime value of different customer segments.
• Developing a Tableau report for the management accounting department of a major clothing retail group for monthly analysis of customer profiles contributing to turnover.

Lab’ AVISIA: In addition to our missions, we carry out various internal projects that fuel our research and development. These projects allow us to offer our clients innovative analytical approaches tested in real-world conditions. To support these initiatives, we have created our own infrastructure. Thus, our consultants have access to the latest resources and cutting-edge market solutions for learning, including "early adopter" versions for testing before their general release.

Our Commitments: Following the implementation of a robust internal CSR policy, we have decided to focus our efforts on projects oriented towards sustainable development. A dedicated initiative was born: AVISIA Impact. This initiative is our response to the need to contribute directly (through our projects) and indirectly (through training our teams) to sustainable transformation challenges. In this way, we aim to foster the emergence of future transformation actors and accelerate the pace of change. For more information on these data initiatives for sustainable transformation, please visit our dedicated Data For Impact page.

Human Factor: We are looking for talents who:

• Possess excellent communication skills.
• Are eager to contribute to the success of client projects.
• Have strong analytical skills and the ability to synthesize information.
• Pay particular attention to the quality of results and their presentation.
• Are curious and eager to stay informed about market trends.
• Wish to continue learning to develop actively.

Skills: You are in your final year of study specializing in "Data" at a university or prestigious school and possess the following skills:

• Good knowledge of SQL and Python.
• Proficiency in major machine learning algorithms.
• Ability to explain complex concepts in simple and understandable terms.
• Good knowledge of generative AI tools (Gemini, ChatGPT...) and AI-assisted development tools (GitHub Copilot, Cursor, Claude Code...) to improve daily efficiency.
• You have a basic understanding of cloud technologies (e.g., Google Cloud Platform, AWS, Azure, Snowflake...) and/or data processing and analysis software (e.g., Dataiku, Databricks, Snowflake...).