Data Scientist/Automation

About the Role

Explore all open roles, early careers roles, experienced professional roles, and partnership roles on the ERM homepage. • Develop and maintain Python scripts and automation workflows. • Apply natural language processing (NLP) and image processing techniques to extract insights from unstructured data (PDFs, DOCX, images). • Build and manage ETL pipelines using tools like Apache Airflow and PySpark. • Support deployment of solutions on cloud platforms (Azure, AWS, GCP). • Assist in OCR workflows and machine learning model development. • Collaborate with project teams to identify data sources and ensure data quality. • Use Git for version control and collaborative development. • Contribute to scalable data engineering workflows and cloud-based analytics.

Key Responsibilities

• ▸python scripting
• ▸nlp
• ▸etl pipelines
• ▸cloud deployment
• ▸ocr
• ▸git versioning

What You Bring

With more than 50 years of experience, our ability to integrate sustainability solutions and our depth and breadth of technical knowledge are why organizations choose to partner with us as their trusted advisor. Every one of us firmly believes in the potential to create value for our clients through an integrated approach to sustainability (because we have personally seen it and professionally achieved it). • Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field. • 1–3 years of experience in data science, automation, or data engineering. • Proficiency in Python and familiarity with cloud services (Azure, AWS, GCP). • Experience with data wrangling, cleaning, and transformation. • Exposure to NLP, OCR, and machine learning concepts. • Strong communication and organizational skills. • Ability to work independently and collaboratively in a fast-paced environment.

Requirements

• ▸bachelor's
• ▸1-3 yrs
• ▸python
• ▸cloud
• ▸data wrangling
• ▸nlp

Work Environment

Office Full-Time

Interview Process

-online assessment may be required.