Itron is innovating new ways for utilities and cities to manage energy and water. We create a more resourceful world to protect essential resources for today and tomorrow. Join us.
Title: Staff Data Scientist (Data Engineer II)
Location: Pune.
Itron's Resiliency Solutions business helps make communities more adaptive and sustainable. We do this by pairing external data with artificial intelligence to identify areas of high risk and prevent catastrophic loss for utilities and critical infrastructure owners across the country. We are a team of close-knit engineers, subject matter experts, and business leaders who obsess over problem-solving, new technologies, and making a positive impact in our communities.
Job Summary
We are seeking a Data Scientist II to join our growing data science team. In this role, you will contribute to a wide range of activities related to end-to-end machine learning (ML) deployments, research, and development of data-driven features that support both internal and external stakeholders. This position is ideal for someone who enjoys variety, thrives in a collaborative environment, and wants to broaden their expertise in a structured and impactful way.
What You’ll Do
Develop subject matter expertise in the organization’s data and product ecosystem.
Partner with cross-functional teams to identify opportunities, design experiments, and deliver scalable ML solutions that create measurable business value.
Lead the design of experiments and hypothesis testing to support new feature development.
Design, implement, and deploy machine learning models across diverse use cases, with opportunities to apply techniques to specialized domains such as weather-related modeling.
Communicate findings and insights clearly to both technical and non-technical audiences using visualizations and presentations.
Monitor and evaluate model performance and ensure data quality in production.
Stay current with advancements in machine learning, AI, and emerging technologies.
Who You Are
Preferred: Prior experience working with weather data or weather-related modeling.
3–5 years of experience building and deploying machine learning models.
Master’s or PhD in statistics, mathematics, computer science, or another quantitative field.
Strong problem-solving skills with an emphasis on product development.
Proficient in programming languages such as Python and/or R, with experience using libraries such as pandas, scikit-learn, and TensorFlow.
Experience with SQL and relational databases for data extraction and manipulation.
Hands-on experience with ML techniques for predictive modeling, classification, NLP (including large language models), recommendation systems, and time series methods.
Familiarity with the software development lifecycle, version control (Git), and CI/CD pipelines.
Experience with cloud-based AI/ML frameworks such as AWS, Azure, or GCP is a plus.
Strong organizational, communication, and time management skills.
High level of accountability and ability to deliver results in a fast-paced environment.
Itron is committed to building an inclusive and diverse workforce and providing an authentic workplace experience for all employees. If you are excited about this role but your past experiences don't perfectly align with every requirement, we encourage you to apply anyway. In the end, you may be just who we are looking for!
The successful candidate's starting wage will be determined based on permissible, non-discriminatory factors such as skills and experience.
Itron is proud to be an Equal Opportunity Employer. If you require an accommodation to apply, please contact a recruiting representative at 1-800-635-5461 or email [email protected].
Itron is transforming how the world manages energy, water and city services. Our trusted intelligent infrastructure solutions help utilities and cities improve efficiency, build resilience and deliver safe, reliable and affordable service. With edge intelligence, we connect people, data insights and devices so communities can better manage the essential resources they rely on to live. Join us as we create a more resourceful world: www.itron.com
