Technical Lead, Data Scientist

Core responsibilities:

• Design and implement modern, robust scalable ML solutions using Google Cloud Platform technologies
• Define and support the research and analytical process with the entire data science workflow, from data exploration to model development and evaluation
• Develop data driven analytical use cases and build Machine Learning models for network grid asset health and grid operations
• Work with Agile and DevOps techniques in the delivery of ML projects and contribute to Google Cloud practice knowledge exchange

This role creates positive change by developing advanced analytics solutions that help utilities optimize energy usage, support decarbonization efforts, and contribute to grid modernization, ultimately shaping a smarter and more sustainable energy future.

Required skills and experience:

• 7-10 years of experience with relevant tertiary qualification (B.E, B.Tech, M.E, M.Tech)
• Programming experience with SAS/R/Scala or Python, with experience in advanced data analysis, statistical and machine learning modeling techniques
• Experience with Google Cloud Platform, preferably using BigQuery, BigQuery ML, Kubeflow Pipelines or Vertex AI (Cloud Certifications a plus)
• Ability to initiate and drive analytics projects from inception to delivery with knowledge of MLOps and workflows to deploy ML operational solutions

What we offer:

• Competitive salary and region-specific benefits
• Comprehensive development programs including mentorship and training
• A global culture that values collaboration, innovation, and continuous learning
• Opportunity to work in a diverse, inclusive, and innovative environment

Landis+Gyr leads the transformation toward a smarter and more sustainable energy future by empowering utilities and consumers to optimize energy usage through advanced metering, grid-edge intelligence, and powerful data analytics.