Trainee Data Scientist / Industrial Trainee Data Analyst Ajouter aux favoris
- Support the collection, cleaning, and harmonization of data from laboratory systems such as LIMS, robotics platforms, instruments, and other digital applications.
- Assist in the development and maintenance of dashboards, reports, and KPIs to monitor laboratory performance.
- Perform exploratory and diagnostic analyses to identify trends, bottlenecks, and opportunities for operational improvement.
- Contribute to data modelling and analytical projects under the guidance of experienced team members.
- Participate in data quality monitoring activities and support the implementation of validation checks and reporting mechanisms.
- Document analytical methodologies, datasets, and data flows to ensure traceability and facilitate knowledge sharing.
- Collaborate with laboratory, operational, and digital teams to understand business needs and support analytical initiatives.
- Assist in preparing presentations and communication materials to share insights and recommendations.
- Contribute to the continuous improvement of digital laboratory tools, dashboards, and reporting capabilities.
- Unique career paths across health, nutrition and beauty - explore what drives you and get the support to make it happen.
- A chance to impact millions of consumers every day - sustainability embedded in all we do.
- A science led company, cutting edge research and creativity everywhere - from biotech breakthroughs to sustainability gamechangers, you'll work on what's next.
- Growth that keeps up with you - you join an industry leader that will develop your expertise and leadership.
- A culture that lifts you up - with collaborative teams, shared wins, and people who cheer each other on.
- A community where your voice matters - it is essential to serve our customers well.
- Currently enrolled in the final year of a Master's degree (Master 2) in Data Science, Analytics, Statistics, Industrial Engineering, Computer Science, Applied Mathematics, or a related field.
- Looking for a final-year internship (4 to 6 months).
- Knowledge of Python, SQL, or other data analysis tools.
- Familiarity with data visualization tools such as Power BI, Tableau, or similar is a plus.
- Understanding of statistics and data analysis methodologies.
- Interest in industrial environments and digital transformation.
- Previous internship, academic project, or first experience in data analytics is appreciated but not required.
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