ollaboration to support ERM's global initiatives.

Responsibilities

Technical Leadership

Design and implement scalable data pipelines and ETL processes using Apache Airflow, PySpark, and Databricks.
Lead development of reusable, version-controlled codebases using Git.
Apply advanced NLP, OCR, and image processing techniques to extract insights from unstructured data.
Architect and deploy solutions on Azure, AWS, and GCP using services like Azure Data Factory, S3, Lambda, and BigQuery.
Build large-scale data processing solutions using Hadoop, Spark, or Databricks.
Monitor and maintain statistical models and data engineering workflows.

Project & Collaboration

Collaborate with business domain experts to identify opportunities for data-driven solutions.
Document model designs, algorithm choices, and technical dependencies.
Participate in cross-functional teams and contribute to strategic initiatives.
Seek opportunities to add value beyond assigned tasks and mentor junior staff.

Requirements

Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.
5–8 years of experience in data science, automation, or data engineering.
Advanced proficiency in Python, Git, and cloud platforms (Azure, AWS, GCP).
Strong experience with NLP, OCR, machine learning, and image processing.
Expertise in data pipeline architecture and cloud deployment.
Excellent problem-solving, communication, and leadership skills.

Data Scientist/Automation (Python, AcrPy, ArcEQuIS+ etc.)