Key Purpose of Role: 

In partnership with multiple stakeholders, you will focus on developing and delivering leading advanced and edge analytics solutions using Google Cloud Platform engineering the ML solutions required to get a fully operational product, with a strong emphasis on extracting actionable insights from complex datasets as used by our utility customers. As a member of our machine learning practice, you will be part of a small team of data scientists and ML engineers which is working with a DevOps culture within our product team and drive innovation for our utility customers.

Areas of Responsibility / Tasks:

• Design and implement modern, robust scalable ML solutions using a range of new and emerging technologies from Google Cloud Platform
• Define and support the research and analytical process with the entire data science workflow, from data exploration and feature engineering to model development and evaluation, to deliver business insights
• Responsible for advanced statistical analysis, machine learning, and predictive modeling
• Develop data driven analytical use cases in cooperation with other team members - build Machine Learning models that can be used for network grid asset health and grid operations
• Work with Agile and DevOps techniques and implementation approaches in the delivery of ML projects
• Liaise and be part of our Google Cloud practice, contributing in the knowledge exchange learning programme of the platform

Expectations for Skills & Experience:

• Experience in Google Cloud will be a plus, preferably using BigQuery or similar data warehouses as well as BigQuery ML and Kubeflow Pipelines or Vertex AI to run ML models. Cloud Certifications will be a plus.
• Programming experience with either SAS/R/Scala or Python
• Experience with advanced data analysis, statistical and machine learning modeling techniques
• Experience with data science and machine learning projects with ability to implement deep learning models
• Ability to initiate and drive analytics projects from inception to delivery, knowledge of MLOps and workflows to deliver and deploy ML operational solutions
• E2E Data Engineering and Lifecycle (including non-functional requirements and operations management) is a plus.
• Experience working with CI/CD pipelines and test automation will be a plus
• Experience with utility time series data and forecasting will be a plus

Behavioral Competencies

• Strong analytical skills, attention to detail and excellent problem solving/troubleshooting skills
• Excellent verbal and written communications skills
• Highly driven, positive attitude, team player, self-learning, self-motivating and flexibility
• Strong customer focus
• Flair for creativity and innovation

Qualifications and Additional Requirements

• Relevant tertiary qualification - B. E, B. Tech, M. E, M. Tech. Educational background in Data science/ ML is a plus.
• Experience 7 to 10 years.

Why Join Us? 

At Landis+Gyr, you’ll be part of a mission-driven company shaping a more sustainable energy future. We empower our people to grow and thrive in a diverse, inclusive, and innovative environment.

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.
• Join us and help create a smarter, greener tomorrow.

Ready to Apply:

• Take the next step in your career with Landis+Gyr. Apply now to be part of a company making a lasting impact in energy management.
• Submit your resume via the ‘Apply’ link or visit our careers page: https://careers.landisgyr.com/
  Please ensure all questions in the application are completed.
• Applications will be reviewed on a rolling basis, and interviews may commence befo