GE Vernova is hiring for a fresher entry level Data Scientist role in India

Position:

• Data Scientist

Company:

• GE Vernova

Location:

• Bengaluru, Karnataka, India

Job Type:

• Full-Time

Job Mode:

• Onsite
  

Job Requisition ID:

• R3789931

Years of Experience:

• Entry-Level; 0-3 years
  

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Company Description:

• GE Vernova is a leading global provider of engineering solutions, digital technology, and sustainable energy innovations.

• The company operates through three key segments: Power, Wind, and Electrification, offering advanced solutions for the energy sector.

• The Power division encompasses Gas Power, Nuclear Power, Hydro Power, and Steam Power, ensuring efficient and reliable energy production.

• The Wind segment includes both Onshore and Offshore Wind, along with LM Wind, specializing in innovative wind turbine technologies.

• The Electrification segment focuses on Grid Solutions, Power Conversion, Electrification Software, and Solar & Storage Solutions, driving advancements in modern energy management.

• GE Vernova is dedicated to leveraging digital transformation, analytics, and machine learning to enhance operational efficiency and sustainability in the energy domain.

• With a strong commitment to innovation, GE Vernova fosters a collaborative environment where technology and industry expertise converge to address complex challenges in energy and infrastructure.

• The company supports career growth and skill development by offering opportunities for continuous learning and professional development.

• Employees at GE Vernova benefit from a dynamic workplace that encourages research, innovation, and collaboration, contributing to a more sustainable future.

• GE Vernova provides relocation assistance, ensuring a smooth transition for candidates joining the organization.

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Profile Overview:

• The role of a Data Scientist at GE Vernova involves working with interdisciplinary teams to analyze and interpret complex datasets.

• The position requires the application of machine learning, statistical analysis, and operational research to uncover patterns and optimize processes in industrial settings.

• The Data Scientist collaborates with software developers, engineers, statisticians, and business teams to develop data-driven solutions.

• Key areas of application include remote monitoring, diagnostics, process optimization, and asset management across various industries.

• The role demands expertise in data preprocessing, feature engineering, and the development of predictive models to improve decision-making.

• The Data Scientist contributes to the creation of innovative analytics solutions, supporting business objectives and enhancing operational efficiency.

• Responsibilities include developing and deploying scalable machine learning algorithms, working with large datasets, and performing exploratory data analysis.

• The position involves documenting methodologies, findings, and outcomes to ensure knowledge sharing and continuous improvement.

• The ideal candidate demonstrates a strong foundation in programming languages such as Python and R, along with a keen understanding of industrial applications of AI and data science.

• This role provides an opportunity to work on cutting-edge technology solutions, contributing to GE Vernova’s mission of driving digital transformation in the energy sector.

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Qualifications:

• A Bachelor's degree in Computer Science, Engineering, Mathematics, or a related STEM field is required.

• Proficiency in programming languages such as Python (mandatory) and R (preferred) is essential for data analysis and model development.

• Strong knowledge of data cleansing, preprocessing, and quality assessment techniques to ensure accurate insights.

• Familiarity with applied analytics, including descriptive and predictive modeling techniques for industrial datasets.

• Understanding of Generative AI (GENAI) applications and their implementation in industrial environments.

• Awareness of Advanced Process Control & Process Optimization principles and their impact on operational efficiency.

• Technical proficiency in feature extraction methodologies and real-time analytics for processing large-scale data.

• Knowledge of analytic prototyping, scalability, and integration of AI models into industrial systems.

• Awareness of industry trends, stakeholder management, and business metrics relevant to data-driven decision-making.

• Ability to function effectively within cross-disciplinary teams, collaborating with engineers, developers, and business strategists.

• Critical thinking, problem-solving skills, and strong presentation abilities to communicate technical concepts effectively.

• Demonstrated curiosity and creativity in leveraging data science techniques to drive business impact and innovation.

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Additional Info:

• The position includes relocation assistance, ensuring a seamless transition for candidates moving to Bengaluru, India.

• The role is structured to provide hands-on experience with data analytics, machine learning, and AI applications in industrial settings.

• Employees will have opportunities to work with cutting-edge tools and frameworks, enhancing their technical expertise and career growth.

• GE Vernova fosters a collaborative work environment where innovation, research, and technological advancements are highly encouraged.

• This role is suitable for early-career professionals who are eager to apply data science methodologies to solve real-world industrial problems.

• Candidates will engage with multidisciplinary teams, gaining exposure to the intersection of data science, engineering, and business operations.

• The organization provides professional development programs, ensuring continuous learning and skill enhancement for employees.

• GE Vernova’s commitment to sustainability and digital transformation ensures that data scientists contribute to impactful projects with global significance.

• The company values diversity and inclusion, promoting an environment where different perspectives and ideas drive technological innovation.

• The Data Scientist role serves as a critical component in the company’s broader vision of leveraging AI and analytics for smarter energy solutions.

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Please click here to apply.

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