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

ERM is seeking a Technical Consultant Level 3 Data Scientist / Automation Specialist to lead the development and deployment of advanced data engineering and automation solutions. This mid-level role blends technical leadership, cloud architecture expertise, and cross-functional collaboration to support ERMs global initiatives. ResponsibilitiesTechnical 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- Bachelors or Masters degree in Data Science, Computer Science, Engineering, or a related field. - 58 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. ERM is seeking a Technical Consultant Level 3 Data Scientist / Automation Specialist to lead the development and deployment of advanced data engineering and automation solutions. This mid-level role blends technical leadership, cloud architecture expertise, and cross-functional collaboration to support ERMs global initiatives. ResponsibilitiesTechnical 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- Bachelors or Masters degree in Data Science, Computer Science, Engineering, or a related field. - 58 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.