Research & Innovation - Intern

GE Vernova; Stafford; On-site; GBP 11,000 - 18,000; Full time

Job summary

GE Vernova is seeking a motivated university student to join the Research & Innovation team as a Placement Intern for a year. You will support the development and improvement of tools, workflows, and digital platforms to make research processes more efficient.

You will gain hands-on experience with scripting, data analysis, and collaboration tools while learning how R&D teams operate in industry.

Qualifications

• Currently studying at university in engineering, computer science, data science, or information systems.
• Basic to intermediate programming skills, preferably Python or similar.
• Interest in digital tools, automation, and data analysis.
• Ability to structure information clearly and work with collaboration platforms.

Responsibilities

• Develop and improve tools using Python or other languages.
• Organise digital information-sharing platforms and improve workflows.
• Support online collaboration/document-sharing platforms like SharePoint.
• Assist in developing the Research Process and related tools.
• Conduct data analysis and create scripts to speed market analysis.
• Collaborate across R&D to identify tool improvement opportunities.
• Document solutions and recommendations for long-term use.

Skills

Programming in Python

Data analysis

Analytical thinking

Communication

Independent work

Team collaboration

Education

University student in engineering/CS/data science

Tools

SharePoint

Microsoft 365

Job description

Job Description Summary

We are looking for a motivated university student to join our Research & Innovation (RI) team as a Placement Intern for a year. This internship is a great opportunity for a student who is interested in programming, process improvement, digital tools, and data analysis.

Job Description

As part of the R&I team, you will support the development and improvement of tools and workflows that help make our research processes more efficient, structured, and accessible. You will work on practical tasks that may include scripting, organizing digital information-sharing platforms, and supporting market analysis activities.

Key Responsibilities

• Developing and improving new and existing tools using Python or other suitable programming languages
• Learning and understanding internal processes and workflows to help improve how information is structured and shared online
• Supporting the implementation and organization of online collaboration and document-sharing platforms, such as SharePoint or similar systems
• Assisting in the development and continuous improvement of the newly launched Research Process
• Conducting data analysis and developing scripts or tools to improve the speed and efficiency of market analysis
• Collaborating with team members across R&D to identify opportunities for process and tool improvements
• Documenting solutions, structures, and recommendations to support long-term use and development

Who We Are Looking For

We are looking for someone who is curious, structured, and eager to learn. You should enjoy solving problems, working with data, and finding practical ways to improve how work is done.

Preferred Qualifications

• Currently studying at university, preferably in engineering, computer science, data science, information systems, or a related field
• At least 18 years old and early in your university studies
• Basic to intermediate programming skills, in Python or other languages
• Interest in digital tools, automation, process improvement, and data analysis
• Ability to understand and structure information in a clear and logical way
• Interest in collaboration platforms such as SharePoint, Microsoft 365, or similar tools
• Strong analytical and problem-solving skills
• Good communication skills
• Able to work independently while also collaborating with others

What You Will Gain

• Hands-on experience in an R&D environment
• Opportunity to work on meaningful projects that support real business needs
• Experience in tool development, process improvement, and data analysis
• Exposure to research workflows and digital collaboration platforms
• Mentorship and practical insight into how R&D teams operate in industry

Additional Information

Relocation Assistance Provided: No