Industrial Data Analytics Intern supporting the Digital Industrial Transformation strategy at Solvay. Collaborating on sensor development and process optimization using data analytics and machine learning techniques.
Responsibilities
Supporting the development of soft sensors using historical and real-time industrial data.
Applying statistical and machine learning techniques to model process variables.
Collaborating with process engineers and data scientists to validate models and ensure operational relevance.
Documenting methodologies and results to ensure reproducibility and scalability.
Presenting findings and recommendations to stakeholders across industrial and digital teams.
Requirements
Relevant education degree or equivalent in Chemical engineering, Data Science, Industrial Engineering, Automation, or Applied Mathematics.
Relevant experience in data analytics, process optimization or industrial automation is a plus.
Proficiency in Python for data analysis and modeling.
Familiarity with industrial data systems (e.g., historians, SCADA, OPC).
Proficiency in industrial unit operations.
Understanding of machine learning concepts and statistical modeling.
Analytical mindset with attention to detail.
Strong communication and collaboration skills.
Curiosity and willingness to learn in a fast-paced industrial environment.
Benefits
Solvay Cares program: minimum of 16 weeks of parenting leave for all employees and package with healthcare, disability and life insurance coverage.
Prioritization of well-being: work-life balance promotion, flexible approach to work part-time or hybrid work arrangements (depending on the type of job), employee assistance program with access to physical and psychological support.
Professional development: prioritization of internal talents for career progression, access to a training platform, opportunities to join Employee Resource Groups (ERG) for experience sharing and mentorship and free language courses.
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