End of studies internship - Data Analyst / Scientist M/F - Paris

France | Oct. 22, 2026

Report as Closed

Company: AVISIA

Country: France

Type: Onsite

Employment: Student college

Description:

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.

Being a consultant means participating in projects that respond to both technical issues and business-oriented issues which concern varied 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 subjects. You will work across the entire data life cycle in order to develop and bring to life our clients' strategic data applications. During your projects you will be required to work on the following elements:

• You will participate in the framing of customer needs and in the reflection on the methodologies and architectures to be implemented to provide answers using Data and AI,

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

• You will carry out in-depth analyzes and design models (statistics, machine learning, AI algorithms, agentic) to respond to complex issues (customer behavior, predictive, optimization),

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

entrusted.

Below are examples of topics:

• Optimization of order preparation in-store with an algorithm optimization under constraint,

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

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

• Store identificationwith character seasonal in terms of turnover, 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 turnover,

• Crossing of sociodemographic and transactional datato map purchasing behaviors and preferences, preferred channels and lifetime value of different customer segments,

• Development of a Tableau report dedicated to the Management Control department of a large ready-to-wear group in order to analyze every month the customer profile having contributed to the turnover.

internal projects that fuel our research and development. These projects give us the opportunity to offer our clients innovative analytical approaches, tested on a full-scale basis.

In order to support these initiatives, we have set up our own infrastructures. Our consultants thus benefit from the most recent resources and the latest solutions on the market for their learning, including "early adopter" versions to test before their general availability. style="color:#121317">Having implemented a solid internal CSR policy, we wanted to put our skills at the service of sustainable development-oriented projects. A dedicated initiative was born:AVISIA Impact.


This initiative is our response to making a direct contribution (via our projects) and indirectly (via the training of our teams) in the challenges of sustainable transformation. We want to facilitate the emergence of future actors of transformation and accelerate the pace of change.

For more information on these data initiatives in the service of sustainable transformation, do not hesitate to consult our dedicated page Data For Impact. 
relational,

• With the desire to be involved in the success of client projects,

• With a good spirit of analysis and synthesis,

• Who attach importance particular to the quality of the deliverables as well as the presentation,

• Curious and keen to keep informed of market developments,

• With the desire to continue learning to be an actor in their progress.

Skills:

You are in your final year of data training at university or college and have the following skills:

• Good knowledge of SQL and Python style="color:#121317">,

• Mastery of the main machine learning algorithms,

• Ability to explain complex concepts in a simple and educational way,

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

• You have knowledge of technologies cloud (Ex: Google Cloud Platform, AWS, Azure, Snowflake...) and/or a software solution from the data processing and analysis market (Ex: Dataiku, Databricks, Snowflake...).

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