Job Description

Vestas is the world leader in wind technology and a driving force in the development of the wind power industry. Vestas' core business comprises the development, manufacture, sale, marketing, and maintenance of wind turbines. Come and join us at Vestas!
Product Applications & Controls R&D
Modelling & Analytics Module
Plant Monitoring & Reliability
Plant Monitoring & Reliability Sub Module, within Modelling & Analytics Module (M&A), Part of Vestas Power Solutions, is responsible for the products and services related to Vestas Monitoring and Reliability solutions and offerings.
We have an experienced and diverse team that consists of everything from Health Monitoring Engineers/Specialists and Reliability Engineers/ Specialists, Data engineers, Data Analysts, and Data Scientists. The department is responsible for developing advanced Plant Monitoring Products & Solutions - Health Monitoring, Condition Monitoring, Power Quality Monitoring, Reliability and VTMs. This ranges across real-time data collection from thousands of power plants with Health Monitoring systems, and data analytics on a Health Monitoring & Reliability setup supporting multiple data applications, Diagnostics, Monitoring solutions for our customers. The goal is to bring down the cost of energy by leveraging the vast amount of data that Vestas collects and stores from power plants around the globe.
Vestas M&A is on a journey of transitioning into a Cloud based data platform for condition monitoring data. You will be the core Data engineer responsible for design and implementation of this transition and become the design owner of the new cloud-based platform for modern data product offerings of Condition monitoring data. The primary scope of work will be sourcing of data from distributed on-premises data systems to one centralized Databricks infrastructure.
Responsibilities

• Apply statistical modeling, machine learning, and deep learning techniques on multivariate time-series data to develop predictive, modular, and scalable condition monitoring systems for wind turbines
• Design and implement robust model management processes to govern the entire ML lifecycle, including development, deployment, and operations, within a cross-functional predictive maintenance architecture
• Define accurate, statistically sound summary metrics to evaluate and benchmark model performance effectively
• Translate complex, statistically rigorous analyses into actionable insights and communicate findings to cross-functional teams, customers, partners, and executives to create measurable business impact
• Work collaboratively within Agile teams comprising Data Scientists, Data Engineers, and Quality Engineers to research, develop, and deliver advanced analytical solutions that create business value
• Interact with domain experts to understand real-world challenges and interpret approaches for practical, impactful solutions
• Research and apply advanced ML techniques to improve prediction accuracy
• Optimize models for scalability and performance in production environments
• Ensure data quality, security, and compliance with organizational standards
• Anticipate internal and external business issues, recommend best practices, and provide strategic guidance on product, process, or service improvements to overcome challenges
• Represent Vestas within the industry and scientific community by building relationships, sharing knowledge, and promoting collaboration among peers

Qualifications

• Bachelor's/Master's / PhD in Computer Science / Data Science / Statistics / Mathematics / STEM / Similar specialization
• Minimum 6+ years of experience in Data Science and frameworks, including proficiency with data preparation and data exploration techniques. This experience should also encompass-

• Application of machine learning techniques such as data mining, statistical analysis, deep learning, and anomaly detection
• Extensive experience in analyzing large-scale condition monitoring datasets, including SCADA and CMS data, to derive strategic insights
• Professional certification in Vibration Analysis
• Proficient communication & presentation skills in English, both written and verbal

Competencies

• Advanced proficiency in Python, Pyspark and its libraries (Pandas, NumPy, Scikit-learn, TensorFlow/Keras, PyTorch, MLflow, etc.)
• Experience with SQL and data manipulation
• Solid understanding of machine learning and deep learning algorithms, statistical modeling, and predictive analytics
• Good knowledge of cloud platforms, particularly Azure
• Experience using Databricks for ML workflows and big data processing
• Experience in building and managing CI/CD pipelines for machine learning models
• Knowledge of model deployment, monitoring, and retraining strategies in production environments
• Proficiency with version control systems (Git) & demonstrated ability to collaborate effectively in Scrum teams
• Experience with time-series analysis and forecasting & Solid foundation in probability, statistics, and optimization techniques
• Proficiency in designing and developing end-to-end production-ready ML pipelines using PySpark, Databricks, and cloud platforms

What We Offer
We offer you the opportunity to leverage your skills and to work in a multicultural and international company, where you have the possibility to improve your skills and develop professionally
Additional Information
Your primary workplace will be in Chennai, India.
Please note: We do amend or withdraw our jobs and reserve the right to do so at any time, including prior to the advertised closing date. Please be advised to apply on or before 31st January 2026.
Our commitment to a fair hiring
At Vestas, we evaluate all candidates solely based on their professional experience, education, and relevant skills. To support a fair recruitment process, we kindly ask that you remove any photos, dates of birth or graduation, gender pronouns, marital status, or other personal information not relevant to the role before submitting your CV/resume. Your CV/resume should focus on your professional and educational background, along with the necessary contact details (email and phone number). We train our hiring teams in inclusive evaluation and regularly review process outcomes to ensure fairness.
DEIB Statement
At Vestas, we recognize the value of diversity, equity, and inclusion in driving innovation and success. We strongly encourage individuals from all backgrounds to apply, particularly those who may hesitate due to their identity or feel they do not meet every criterion. As our CEO states, "Expertise and talent come in many forms, and a diverse workforce enhances our ability to think differently and solve the complex challenges of our industry". Your unique perspective is what will help us powering the solution for a sustainable, green energy future.
BEWARE - RECRUITMENT FRAUD
It has come to our attention that there are a number of fraudulent emails from people pretending to work for Vestas. Read more via this link,
About Vestas
Vestas is the energy industry's global partner on sustainable energy solutions. We are specialised in designing, manufacturing, installing, and servicing wind turbines, both onshore and offshore.
Across the globe, we have installed more wind power than anyone else. We consider ourselves pioneers within the industry, as we continuously aim to design new solutions and technologies to create a more sustainable future for all of us. With more than 185 GW of wind power installed worldwide and 40+ years of experience in wind energy, we have an unmatched track record demonstrating our expertise within the field.
With 30,000 employees globally, we are a diverse team united by a common goal: to power the solution - today, tomorrow, and far into the future.
Vestas promotes a diverse workforce which embraces all social identities and is free of any discrimination. We commit to create and sustain an environment that acknowledges and harvests different experiences, skills, and perspectives. We also aim to give everyone equal access to opportunity.
To learn more about our company and life at Vestas, we invite you to visit our website at and follow us on our social media channels. We also encourage you to join our Talent Universe to receive notifications on new and relevant postings.

Skills Required