At Landis+Gyr, we don’t just manage energy—we lead the transformation toward a smarter and more sustainable energy future.With a net revenue of USD 1.73 billion in FY 2024, and a presence in over 30 countries across five continents, Landis+Gyr empowers utilities and consumers to optimize energy usage through advanced metering, grid-edge intelligence, and powerful data analytics.Today, our global team of about 6,300 professionals is shaping the digital energy era—developing innovative technologies that support decarbonization, grid modernization, and real-time energy insights. Our record USD 4.6 billion order backlog and strong book-to-bill ratio reflect long-term confidence in our mission and solutions.Join us at Landis+Gyr, where we manage energy better! <div>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:<ul><li>Design and implement modern, robust scalable ML solutions using a range of new and emerging technologies from Google Cloud Platform</li><li>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</li><li>Responsible for advanced statistical analysis, machine learning, and predictive modeling</li><li>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</li><li>Work with Agile and DevOps techniques and implementation approaches in the delivery of ML projects</li><li>Liaise and be part of our Google Cloud practice, contributing in the knowledge exchange learning programme of the platform</li></ul>Expectations for Skills &amp; Experience:<ul><li>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.</li><li>Programming experience with either SAS/R/Scala or Python</li><li>Experience with advanced data analysis, statistical and machine learning modeling techniques</li><li>Experience with data science and machine learning projects with ability to implement deep learning models</li><li>Ability to initiate and drive analytics projects from inception to delivery, knowledge of MLOps and workflows to deliver and deploy ML operational solutions</li><li>E2E Data Engineering and Lifecycle (including non-functional requirements and operations management) is a plus.</li><li>Experience working with CI/CD pipelines and test automation will be a plus</li><li>Experience with utility time series data and forecasting will be a plus</li></ul>  Behavioral Competencies<ul><li>Strong analytical skills, attention to detail and excellent problem solving/troubleshooting skills</li><li>Excellent verbal and written communications skills</li><li>Highly driven, positive attitude, team player, self-learning, self-motivating and flexibility</li><li>Strong customer focus</li><li>Flair for creativity and innovation</li></ul> Qualifications and Additional Requirements<ul><li>Relevant tertiary qualification - B. E, B. Tech, M. E, M. Tech. Educational background in Data science/ ML is a plus.</li><li>Experience 7 to 10 years.</li></ul>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:<ul><li>Competitive salary and region-specific benefits.</li><li>Comprehensive development programs including mentorship and training.</li><li>A global culture that values collaboration, innovation, and continuous learning.</li><li>Join us and help create a smarter, greener tomorrow.</li></ul> Ready to Apply:<ul><li>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.</li><li>Submit your resume via the ‘Apply’ link or visit our careers page: <a href="https://careers.landisgyr.com/">https://careers.landisgyr.com/</a> Please ensure all questions in the application are completed.</li><li>Applications will be reviewed on a rolling basis, and interviews may commence befo</li></ul></div> We value and encourage diversity in our team. This position is open to all qualified candidates regardless of gender, race, age, disability, sexual orientation, or background. We're committed to shaping a better future for everyone. #EnergizeYourCareer and join us on our journey towards a greener tomorrow.

At Landis+Gyr, we share a collective vision with utility companies and end-use consumers all over the world: manage energy better. For utilities, this means streamlined operations, cost savings, and more reliable customer service. For consumers, this means a smaller environmental footprint, lower cost options, and ways to stay in control of their own energy usage. By harnessing the power of our industry-leading products and solutions, we can work together to create a smarter grid for the benefit of all.

Technical Lead, Data Scientist

At Landis+Gyr, we don’t just manage energy—we lead the transformation toward a smarter and more sustainable energy future.With a net revenue of USD 1.73 billion in FY 2024, and a presence in over 30 countries across five continents, Landis+Gyr empowers utilities and consumers to optimize energy usage through advanced metering, grid-edge intelligence, and powerful data analytics.Today, our global team of about 6,300 professionals is shaping the digital energy era—developing innovative technologies that support decarbonization, grid modernization, and real-time energy insights. Our record USD 4.6 billion order backlog and strong book-to-bill ratio reflect long-term confidence in our mission and solutions.Join us at Landis+Gyr, where we manage energy better! <div>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:<ul><li>Design and implement modern, robust scalable ML solutions using a range of new and emerging technologies from Google Cloud Platform</li><li>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</li><li>Responsible for advanced statistical analysis, machine learning, and predictive modeling</li><li>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</li><li>Work with Agile and DevOps techniques and implementation approaches in the delivery of ML projects</li><li>Liaise and be part of our Google Cloud practice, contributing in the knowledge exchange learning programme of the platform</li></ul>Expectations for Skills &amp; Experience:<ul><li>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.</li><li>Programming experience with either SAS/R/Scala or Python</li><li>Experience with advanced data analysis, statistical and machine learning modeling techniques</li><li>Experience with data science and machine learning projects with ability to implement deep learning models</li><li>Ability to initiate and drive analytics projects from inception to delivery, knowledge of MLOps and workflows to deliver and deploy ML operational solutions</li><li>E2E Data Engineering and Lifecycle (including non-functional requirements and operations management) is a plus.</li><li>Experience working with CI/CD pipelines and test automation will be a plus</li><li>Experience with utility time series data and forecasting will be a plus</li></ul>  Behavioral Competencies<ul><li>Strong analytical skills, attention to detail and excellent problem solving/troubleshooting skills</li><li>Excellent verbal and written communications skills</li><li>Highly driven, positive attitude, team player, self-learning, self-motivating and flexibility</li><li>Strong customer focus</li><li>Flair for creativity and innovation</li></ul> Qualifications and Additional Requirements<ul><li>Relevant tertiary qualification - B. E, B. Tech, M. E, M. Tech. Educational background in Data science/ ML is a plus.</li><li>Experience 7 to 10 years.</li></ul>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:<ul><li>Competitive salary and region-specific benefits.</li><li>Comprehensive development programs including mentorship and training.</li><li>A global culture that values collaboration, innovation, and continuous learning.</li><li>Join us and help create a smarter, greener tomorrow.</li></ul> Ready to Apply:<ul><li>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.</li><li>Submit your resume via the ‘Apply’ link or visit our careers page: <a href="https://careers.landisgyr.com/">https://careers.landisgyr.com/</a> Please ensure all questions in the application are completed.</li><li>Applications will be reviewed on a rolling basis, and interviews may commence befo</li></ul></div> We value and encourage diversity in our team. This position is open to all qualified candidates regardless of gender, race, age, disability, sexual orientation, or background. We're committed to shaping a better future for everyone. #EnergizeYourCareer and join us on our journey towards a greener tomorrow.

Technical Lead, Data Scientist

About the Job

About the Company

Landis+Gyr

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