Statistics Data Analysis Internship

About the role

The Statistics Data Analysis Internship supports the Treat Process Engineering Department by collecting, analyzing, and interpreting data using statistical tools and basic machine‑learning techniques. You will help turn raw data into actionable insights that drive process improvements across the organization.

Key responsibilities

• Assist in gathering and cleaning data from multiple sources.
• Apply descriptive and inferential statistical methods to analyze datasets.
• Identify trends, patterns, and anomalies and present findings to stakeholders.
• Create visualizations and simple reports to communicate results.
• Support the development of data‑driven recommendations for process optimization.

Required profile

• Advanced student in Statistics, Mathematics, Data Science or a related field.
• 0–2 years of experience in data analysis, statistics or related academic projects.
• Intermediate English proficiency (B2‑B2+).
• Strong analytical thinking and problem‑solving abilities.

Required skills

• Descriptive statistics
• Inferential statistics
• Excel
• Python
• R
• SQL
• Data handling and cleaning
• Basic understanding of machine‑learning concepts