Responsibilities
- 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.
Requirements
- 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.
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Candidates may be invited to complete an online assessment as part of our recruitment process. All personal information will be handled confidentially and in compliance with data protection laws.
Sustainability is our business.
As the world’s largest specialist sustainability consultancy, ERM partners with clients to operationalize sustainability at pace and scale, deploying a unique combination of strategic transformation and technical delivery capabilities. This approach helps clients to accelerate the integration of sustainability at every level of their business.
With more than 50 years of experience, ERM’s diverse team of 8000+ experts in 40 countries and territories helps clients create innovative solutions to their sustainability challenges, unlocking commercial opportunities that meet the needs of today while preserving opportunity for future generations.
