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AAVISIA
Nantes, France1 month ago
from 1,300 EUR
per month
Grade
Intern
An email or a Telegram message to the recruiter
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 simultaneously address both technical challenges and business objectives across various industries (luxury, retail, banking/insurance, industry, etc.). Our missions combine technical and operational aspects, allowing you to deepen your knowledge in innovative areas. 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 market solutions for learning, including "early adopter" versions that can be tested before their general release.
Our commitments: Following the implementation of a solid internal CSR policy, we decided to direct our skills towards projects focused on sustainable development. A specific 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 addressing the challenges of sustainable transformation. In this way, we want to contribute to the emergence of future transformation leaders and accelerate the pace of change. For more information on these initiatives regarding data in the service of sustainable transformation, please visit our dedicated Data For Impact page.
You will participate in the entire data lifecycle to develop and support our clients' strategic data applications. During your projects, you will be involved in the following tasks: You will participate in defining client needs and in developing the methodologies and architectures to be implemented to solve problems using data and AI. You will identify, integrate, and structure data (sources, ETL/ELT connectors, modeling) to transform raw data into measurable and reliable Key Performance Indicators (KPIs). You will conduct in-depth analysis and develop models (statistical, machine learning, AI algorithms, agents) to solve complex problems (customer behavior, predictive modeling, optimization). You will visualize the results of your work and industrialize your solutions by creating visualization tools for business teams and applying best programming practices. You will demonstrate a strong interest in the AI ecosystem by staying abreast of innovations, experimenting with new use cases, and developing AI modules/solutions where appropriate. Depending on your interests and desires, you will be offered a topic with a predominance of technical or business aspects. Below are examples of topics: Optimizing in-store order preparation using a constraint optimization algorithm. Using Gen AI to extract information from PDF documents and generate synonyms to improve document search. Implementing customer churn indicators by department and store using interpretable machine learning methods. Implementing segmentation of visits based on e-commerce website navigation data. Identifying stores with seasonal sales patterns to adjust weekly budgets and optimize marketing campaign targeting. Developing a dashboard for the management control department of a major ready-to-wear group for monthly analysis of customer profiles contributing to sales. Developing conversational agents (LLMs) for sales data queries and implementing AI use cases.
Therefore, we are looking for talents who: Possess excellent communication skills. Are willing to actively participate in the success of client projects. Have good analytical skills and the ability to synthesize information. Place a strong emphasis on the quality of deliverables and their presentation. Are curious and keen to stay informed about market trends. Wish to continue learning to actively participate in their professional growth.
Skills: You are in your final year of university or a prestigious school in the Data field and possess the following skills: Very good knowledge of SQL and Python. Good knowledge of fundamental machine learning algorithms. Ability to explain complex concepts simply and visually. Good knowledge of generative AI tools (Gemini, ChatGPT...) and AI-assisted development tools (GitHub Copilot, Cursor, Claude Code...) to enhance daily efficiency.
You have an understanding of cloud technologies (e.g., Google Cloud Platform, AWS, Azure, Snowflake...) and/or data processing and analysis software solutions (e.g., Dataiku, Databricks...).
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 simultaneously address both technical challenges and business objectives across various industries (luxury, retail, banking/insurance, industry, etc.). Our missions combine technical and operational aspects, allowing you to deepen your knowledge in innovative areas. You will participate in the entire data lifecycle to develop and support our clients' strategic data applications. During your projects, you will be involved in the following tasks: You will participate in defining client needs and in developing the methodologies and architectures to be implemented to solve problems using data and AI. You will identify, integrate, and structure data (sources, ETL/ELT connectors, modeling) to transform raw data into measurable and reliable Key Performance Indicators (KPIs). You will conduct in-depth analysis and develop models (statistical, machine learning, AI algorithms, agents) to solve complex problems (customer behavior, predictive modeling, optimization). You will visualize the results of your work and industrialize your solutions by creating visualization tools for business teams and applying best programming practices. You will demonstrate a strong interest in the AI ecosystem by staying abreast of innovations, experimenting with new use cases, and developing AI modules/solutions where appropriate. Depending on your interests and desires, you will be offered a topic with a predominance of technical or business aspects. Below are examples of topics: Optimizing in-store order preparation using a constraint optimization algorithm. Using Gen AI to extract information from PDF documents and generate synonyms to improve document search. Implementing customer churn indicators by department and store using interpretable machine learning methods. Implementing segmentation of visits based on e-commerce website navigation data. Identifying stores with seasonal sales patterns to adjust weekly budgets and optimize marketing campaign targeting. Developing a dashboard for the management control department of a major ready-to-wear group for monthly analysis of customer profiles contributing to sales. Developing conversational agents (LLMs) for sales data queries and implementing AI use cases.
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 market solutions for learning, including "early adopter" versions that can be tested before their general release.
Our commitments: Following the implementation of a solid internal CSR policy, we decided to direct our skills towards projects focused on sustainable development. A specific 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 addressing the challenges of sustainable transformation. In this way, we want to contribute to the emergence of future transformation leaders and accelerate the pace of change. For more information on these initiatives regarding data in the service of sustainable transformation, please visit our dedicated Data For Impact page.
Human Factor: Therefore, we are looking for talents who: Possess excellent communication skills. Are willing to actively participate in the success of client projects. Have good analytical skills and the ability to synthesize information. Place a strong emphasis on the quality of deliverables and their presentation. Are curious and keen to stay informed about market trends. Wish to continue learning to actively participate in their professional growth.
Skills: You are in your final year of university or a prestigious school in the Data field and possess the following skills: Very good knowledge of SQL and Python. Good knowledge of fundamental machine learning algorithms. Ability to explain complex concepts simply and visually. Good knowledge of generative AI tools (Gemini, ChatGPT...) and AI-assisted development tools (GitHub Copilot, Cursor, Claude Code...) to enhance daily efficiency. Bonus: You have an understanding of cloud technologies (e.g., Google Cloud Platform, AWS, Azure, Snowflake...) and/or data processing and analysis software solutions (e.g., Dataiku, Databricks...).
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