Position:
- Title: Data Scientist
Company:
- Name: GE Vernova
Location:
- City: Bengaluru
- State: Karnataka
- Country: India
Job Type:
- Category: Digital Technology / IT
- Employment Level: Early Career
Job Mode:
- Mode: Onsite
Job Requisition ID:
- ID: R3789931
Years of Experience:
- Experience Required: 0-3 years
Company Description
- GE Vernova operates across multiple segments, including Power, Wind, and Electrification.
- The Power segment encompasses Gas Power, Nuclear Power, Hydro Power, and Steam Power, providing innovative solutions for global energy needs.
- The Wind segment focuses on Onshore Wind, Offshore Wind, and LM Wind solutions to drive renewable energy initiatives.
- The Electrification segment covers Grid Solutions, Power Conversion, Electrification Software, and Solar & Storage Solutions to support the electrification transformation.
- GE Vernova is dedicated to creating products and services that solve complex energy challenges, enhancing efficiency, and promoting sustainability.
- The company’s culture emphasizes innovation, collaboration, and a commitment to delivering value through cutting-edge technology.
Profile Overview
- The role of a Data Scientist at GE Vernova involves tackling challenges in statistical modeling, machine learning, and data analysis in a commercial and consultancy setting.
- This position requires close collaboration with interdisciplinary teams, including statisticians, engineers, software developers, and product managers.
- Data Scientists contribute to deploying modern techniques like operational research, semantic analysis, and predictive analytics.
- Responsibilities span multiple domains, such as remote monitoring, diagnostics, process optimization, and asset management.
- The role emphasizes transforming data insights into actionable outcomes that address customer needs and business objectives.
- This is a hands-on role where you’ll engage in coding, analytics development, and documentation to deliver impactful solutions.
Qualifications
Education
- Bachelor’s Degree in Computer Science or a STEM field (Science, Technology, Engineering, and Math).
Technical Expertise
- Proficiency in analytic software tools or languages (Python required; R optional).
- Skills in data cleansing, data quality assessment, and analytics for data evaluation.
- Familiarity with applying analytics, predictive modeling, and prescriptive methods to industrial datasets.
- Awareness of advanced techniques, such as feature extraction, real-time analytics, and GENAI in industrial contexts.
- Understanding of Advanced Process Control & Process Optimization.
Domain Knowledge
- Awareness of current industry trends and technologies in data science.
- Familiarity with customer and stakeholder management principles.
Leadership Attributes
- Ability to work effectively in a team setting.
- Critical thinking and problem-solving skills.
- Presentation and communication abilities to share insights effectively.
Personal Attributes
- Curiosity and creativity to identify innovative solutions.
- Focus on achieving measurable business impact.
Roles and Responsibilities
Core Responsibilities
- Develop analytics within clearly defined projects to meet customer requirements.
- Collaborate with team members to translate algorithms into viable commercial products and services.
- Engage in exploratory and targeted data analyses using descriptive statistics and other methods.
- Work with data engineers to ensure data quality and perform data cleansing as necessary.
Team Collaboration
- Participate in cross-disciplinary projects with statisticians, computer scientists, engineers, product managers, and stakeholders.
- Contribute to technical discussions and align solutions with business objectives.
Analytics Development
- Apply predictive, descriptive, and prescriptive analytics methods to solve complex problems.
- Create reports, annotated code, and documentation to communicate findings and processes.
Innovation and Communication
- Share insights and recommendations with team members to drive decision-making.
- Stay updated on emerging technologies and methods to enhance the role’s impact.
Additional Information
- Relocation assistance is provided for this position.
- The job offers exposure to diverse industries, including infrastructure and industrial sectors.
- This role involves developing cutting-edge solutions for diagnostics, remote monitoring, and optimization.
- Employees are encouraged to explore innovative ideas, leveraging a supportive and collaborative environment.
- While this job description outlines primary responsibilities, the exact scope of duties may be refined in alignment with the employee’s role and manager’s guidance.
Please click here to apply.

