End of Studies Internship - Data Analyst / Scientist M/F - Paris

The mission :

Through the internship, you will have the opportunity to put your skills into practice, learn from experts, and contribute to concrete and impactful projects.

Being a consultant means participating in projects that address both technical challenges and business-oriented issues concerning various sectors of activity (luxury, retail, banking/insurance, industry, etc.).

Our missions combine a technical and operational dimension allowing you to deepen your knowledge on innovative topics. You will be involved in the entire data lifecycle to develop and maintain our clients' strategic data applications. During your projects, you will be led to work on the following elements:

• You will participate in the scoping of client needs and in the reflection on methodologies and architectures to be implemented to provide answers through Data and AI,

• You will identify, integrate, and structure data (sources, ETL/ELT connectors, modeling) to transform raw data into actionable and reliable key performance indicators (KPIs),

• You will perform in-depth analyses and design models (statistical, machine learning, AI algorithms, agent-based) to address complex issues (customer behavior, predictive, optimization),

• You will highlight your results and industrialize your solutions, by creating reporting tools for business teams and by applying best programming practices.

Depending on your appetite and desires, a subject with a technical or business focus will be assigned to you.

Below are examples of subjects:

• Optimization of order preparation in-store with a constrained optimization algorithm,

• Modeling of an attrition score using supervised learning at the store and department level to personalize retention actions and maximize customer loyalty,

• Implementation of a segmentation of visits based on e-commerce site navigation data to personalize the customer experience in real-time,

• Identification of stores with seasonal characteristics in terms of revenue, in order to adjust weekly budgets and optimize the targeting of marketing campaigns,

• Evaluation of the profitability of commercial campaigns to refine customer targeting, eliminate cannibalization effects, and maximize incremental revenue,

• Cross-referencing socio-demographic and transactional data to map purchasing behaviors and preferences, preferred channels, and the lifetime value of different customer segments,

• Development of a Tableau dashboard dedicated to the Management Control department of a large ready-to-wear group to analyze every month the customer profile who contributed to the revenue.

Lab’ AVISIA :

In addition to our missions, we conduct various internal projects that fuel our research and development. These projects give us the opportunity to offer our clients innovative analytical approaches, tested in real-world conditions.

To support these initiatives, we have set up our own infrastructures. Our consultants thus benefit from the latest resources and the latest market solutions for their learning, including "early adopter" versions to test before their general release.

Our commitments :

After implementing a solid internal CSR policy, we wanted to put our skills to the service of projects focused on sustainable development. A dedicated initiative was born: AVISIA Impact.

This initiative is thus our response to contribute directly (through our projects) and indirectly (through the training of our teams) to the challenges of sustainable transformation. We want to facilitate the emergence of future transformation actors and accelerate the pace of change.

For more information on these data initiatives for sustainable transformation, do not hesitate to consult our dedicated page Data For Impact. 

The human aspect :

We are therefore looking for talents who have:

• Excellent interpersonal skills,

• A commitment to the success of client projects,

• Strong analytical and synthesis skills,

• A particular emphasis on the quality of deliverables and their presentation,

• Curiosity and a desire to stay informed about market developments,

• The desire to continue learning to be an active participant in their own progress.

The skills :

You are in your final year of data studies at university or a grandes écoles and possess the following skills:

• Good knowledge of SQL and Python,

• Mastery of the main machine learning algorithms,

• Ability to explain complex concepts simply and pedagogically,

• Good knowledge of generative AI tools (Gemini, ChatGPT, etc.) and assisted development tools (GitHub Copilot, Cursor, Claude Code...) to optimize daily efficiency,

• You have notions of cloud technologies (e.g., Google Cloud Platform, AWS, Azure, Snowflake...) and/or a market software solution for data processing and analysis (e.g., Dataiku, Databricks, Snowflake...).