Data Scientist/Automation (Python, AcrPy, ArcEQuIS+ etc.)
ERM · Bengaluru, Karnataka, India
Business Consulting and Services · 5,001-10,000 employees
About the role
Lead the design and implementation of scalable data pipelines and ETL processes using cloud platforms and big data tools. Develop advanced automation solutions utilizing NLP, OCR, and image processing to extract insights from unstructured data.
What they look for
Requirements
Requires a Bachelor's or Master's degree in Data Science, Computer Science, or Engineering with 5-8 years of experience. Must have advanced proficiency in Python, Git, and major cloud platforms along with expertise in machine learning and data architecture.
Full description
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 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.
