About this role

Support Research & Innovation (RI) initiatives by developing and maintaining Python‑based data analytics tools
Analyze operational, laboratory, and formulation datasets using Python to generate actionable insights
Develop and present clear, visually compelling data visualizations and reports
Improve data integrity and operational efficiency by managing datasets and building workflow automations
Use SQL within Databricks to extract, interrogate, and validate corporate master data objects
Perform advanced Excel‑based analytics to support RI and adjacent functions
Work collaboratively with IT (Data Architecture) and RI stakeholders

Educational background: 3rd or 4th year in a related program (Computer Science, Data Science, Statistics, Applied Math, Engineering etc.)
Strong Python skills (Jupyter/Spyder, Pandas, NumPy, Seaborn, Matplotlib)
SQL experience
Proficient with Microsoft Office
Nice to have: Azure Databricks experience
Dashboarding tools (Power BI, Plotly)
Basic statistics knowledge

Competitive Wages
Safety: a strong commitment to ensure all people are provided with a safe, healthy and respectful environment.

Data Analytics, Automation Development Intern

Key skills