Senior Data Scientist at Vestas

, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

18 Apr, 26

Salary

0.0

Posted On

18 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine Learning, Statistical Modeling, Azure, SQL, Data Manipulation, Databricks, PySpark, CI/CD Pipelines, Time-Series Analysis, Weather Forecasting, Probability, Statistics, Optimization Techniques, Large Language Models, Data Preparation, Data Exploration

Industry

Renewable Energy Equipment Manufacturing

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 Optimization We are seeking a highly qualified Data Scientist for our Plant Optimization Team, focusing on Power Forecasting based on Weather forecasting and Machine Learning. The ideal candidate should have a solid background in power forecasting, statistical modeling, machine learning, and deep learning techniques, along with good experience with cloud platforms, particularly Azure. Experience is also essential. At Vestas, we're on a mission to electrify and decarbonize the energy industry. We operate a cross-functional squad model, and you'll be helping to build Scipher.Fx, our renewable energy forecasting tool. This is an opportunity to combine your interest in code, data, and technology with your goal to improve technological solutions. Vestas values are focused on putting our customers first. We are committed to innovating and collaborating with others, showcasing our resolve to progress towards a sustainable future. Responsibilities Apply statistical modeling and machine learning for Power forecasting of wind and/or solar parks Design and implement robust model management processes to govern the entire ML lifecycle, including development, deployment, and operations Define accurate, statistically sound summary metrics to evaluate and benchmark forecasting model performance effectively Translate statistical analyses on system performance into actionable insights and communicate findings to cross-functional teams, customers, partners, and executives to ensure measurable business impact Work collaboratively within Agile teams comprising Data Scientists, Data Engineers, and Software developers to research, develop, and deliver forecasting 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 forecasting 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 encouraging collaboration among peers Qualifications Bachelor's/Master's / PhD in Computer Science / Data Science / Statistics / Mathematics / STEM / Similar specialization Minimum 5 years of experience in Data Science and frameworks, including proficiency with data preparation and data exploration techniques Application of machine learning techniques such as data mining, statistical analysis Proficient communication skills in English, both written and verbal Ability to self-manage workload and collaborate in an evolving global environment Competencies Extensive proficiency in Python and its libraries (Pandas, NumPy, Scikit-learn, TensorFlow/Keras, PyTorch, MLflow, etc.) Experience with SQL and data manipulation Solid understanding of machine learning algorithms and statistical modeling Good knowledge of cloud platforms, particularly Azure Experience using Databricks for ML workflows Practical experience with PySpark for distributed 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 experience working in Scrum teams Experience with time-series analysis and weather forecasting Solid foundation in probability, statistics, and optimization techniques Proficiency in creating and implementing comprehensive production-ready machine learning workflows with PySpark, Databricks, and cloud-based systems Experience with large language models (LLMs) such as GPT, BERT, or similar:- Retrieval-Augmented Generation (RAG) techniques, model fine-tuning and AI agent/orchestration frameworks for autonomous workflows 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 Equal Opportunity Statement: Vestas provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by country-specific and local laws 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 StatementAt 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 FRAUDIt 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, https://www.vestas.com/en/careers/our-recruitment-process About VestasVestas 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 www.vestas.com 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.

Responsibilities

The Senior Data Scientist will apply statistical modeling and machine learning for power forecasting of wind and solar parks, and design robust model management processes for the ML lifecycle. They will collaborate with Agile teams to develop forecasting solutions that create business value.