Bureau Veritas Singapore Pte Ltd – Data Analytics (Health, Safety and Environment) Intern

Bureau Veritas is expanding its digital capabilities to streamline environmental reporting and strengthen Health, Safety and Environment (HSE) data analytics. 

About the Role

Bureau Veritas is expanding its digital capabilities to streamline environmental reporting and strengthen Health, Safety and Environment (HSE) data analytics. We are looking for a Data Analytics Intern who can leverage Tableau/Power BI to create insightful and automated dashboards. You will work closely with sustainability specialists, H&S analysts, and AI scientists to transform raw data into actionable insights and compliance reports at Asia Pacific level.

Responsibilities

• Design, develop and deploy automation workflows for environmental reporting (e.g., emissions, waste, water use) and H&S data collection, using Python, R, or low-code AI platforms.
• Create data analytics pipelines (ETL, data validation, KPI dashboards) that ingest, clean, and visualise HSE metrics (incident logs, exposure data, audit results) using Tableau/Power BI.
• Document solutions (architecture diagrams, code repositories, user guides) and deliver presentations to stakeholders for decision-making.
• Stay current on emerging AI, robotic process automation (RPA), and data analytics trends and propose pilot projects that add value to the reporting ecosystem

Requirements

• Able to commit at least 3 months full time internship.
• Currently enrolled in a Bachelor’s or Master’s program in Computer Science, AI, Data Science, Software Engineering, or a related field.
• Strong knowledge and expertise in AI, particularly generative AI
• Proficient in programming e.g. Python
• Proficient in using Tableau/Power BI to build dashboards and generate actionable insights from datasets.
• Capable of working independently as well as in teams
• Excellent communications skills in presenting and writing
• Proficient in written and spoken English
• Background in software engineering is preferred