Data Visualization & Analytics Intern — Sensory Research

Eurofins Sensory, Market Research and Product Design; Aix-en-Provence; On-site; EUR 7,800 - 15,000; Full time

Job summary

Eurofins Sensory, Market Research and Product Design offers an internship in Data Visualization and Interactive Analytics within the Sensory & Consumer Research group. You will design and enhance tools used for sensory and consumer data analysis, combining data science, visualization and user-centered development to create usable, reliable solutions.

You will work on developing R Shiny applications, creating engaging visualizations, and automating analyses while collaborating with international

Qualifications

• Pursuing a Master’s degree in a quantitative field such as Data Science, Statistics, Computer Science or related discipline.
• Solid knowledge of R and data manipulation.
• Experience with or strong interest in R Shiny and interactive data visualization.
• Strong foundations in statistics and analytical validation.

Responsibilities

• Develop and enhance R Shiny applications for sensory and consumer data analysis.
• Create engaging, interactive visualizations that simplify exploration of results.
• Automate recurring statistical analyses, tables, charts and standardized exports.
• Design intuitive workflows and interfaces for internal users.
• Improve usability, robustness, performance and scalability of analyses.

Skills

R

R Shiny

Data visualization

Statistics

Python

Git

AI/Language models

User-centred design

Education

Master’s degree in Data Science or related

Tools

R Shiny environment

Git

Python

Docker

Job description

Eurofins Sensory, Market Research and Product Design offers an internship in Data Visualization and Interactive Analytics within the Sensory & Consumer Research group. You will design and enhance tools used for sensory and consumer data analysis, combining data science, visualization and user-centered development to create usable, reliable solutions.

You will work on developing R Shiny applications, creating engaging visualizations, and automating analyses while collaborating with international