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!&nbsp;<div>Key Purpose of Role:&nbsp;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>&nbsp;&nbsp;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>&nbsp;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?&nbsp;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.&nbsp;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>&nbsp;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:&nbsp;<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>&nbsp;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.&nbsp;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

Similar Jobs

Performance & Analytics specialist

Performance & Analytics specialist

Data and Analytics Director

Data and Analytics Director

Staff Data Scientist

Staff Data Scientist

Senior Data Scientist - 25459

Senior Data Scientist - 25459

Lead Data Scientist (ML)

Lead Data Scientist (ML)

Senior Data Scientist (f/m/x) - remote

Senior Data Scientist (f/m/x) - remote

Senior Data Engineer

Senior Data Engineer

Staff Data Scientist (AI Transformation)

Staff Data Scientist (AI Transformation)

Data Science Manager, Supply

Data Science Manager, Supply

Lead Data Scientist

Lead Data Scientist