Intern - Data Analyst

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

When you’re part of Thermo Fisher Scientific, you’ll do challenging work and be part of a team that values performance, quality, and innovation. As part of a successful, growing global organization, you will be encouraged to perform at your best. We give our people the resources and opportunities to make meaningful contributions to the world.

The Team

Our Physical Failure Analysis (PFA) group develops and maintains software that automates the operation of Scanning Electron Microscopes (SEM). Our solutions are crucial for the semiconductor industry, helping customers identify defects in semiconductor components and advance their research and production to make technologies more robust, reliable, and energy-efficient.

The Position

As a member of an international team of scientists, software developers, and engineers, you will support the development of application software that automates microscope operations.

The insights and recommendations you provide will help improve the robustness of our solutions, accelerate research into new technologies and algorithms, and support the team in making better research decisions.

This position offers an opportunity to apply your Python and data analytics skills in a high-tech environment while gaining practical experience with advanced scientific technologies.

Key Responsibilities

• Build reports to provide deeper insights into process and telemetry data.
• Design dashboards that provide users with dynamic insights.
• Develop Python modules that transform raw data into actionable insights.

Requirements

• Current university student enrolled in a Bachelor's degree program or higher.
• Experience with Python and Pandas.
• Ability to work with databases and write basic SQL queries.
• Background in data analytics.
• Good command of English.
• Passion for new technologies and willingness to apply them.
• Interest in understanding the domain of electron microscopy.

Nice to Have

• Hands-on experience with Plotly, Dash, or other dashboarding tools.
• Knowledge of statistical data analysis.

Technologies We Use

• Python, Pandas, Plotly
• PostgreSQL
• Elasticsearch, OpenTelemetry
• GitHub
• JupyterLab
• JIRA, Confluence

What we offer

• Meaningful and rewarding work in an international high-tech company with exciting career prospects.
• Flexible working hours that you can easily balance with your studies.
• An extra week of paid vacation.
• A meal allowance.
• A free MultiSport card.
• A discounted mobile phone plan.
• Support for your professional and personal growth and development.
• A friendly and informal company culture.