Intern IT

Work Schedule

Environmental Conditions

Job Description

As part of the Thermo Fisher Scientific team youll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the worlds toughest challenges like protecting the environment making sure our food is safe or helping find cures for cancer.

DESCRIPTION:
Join Thermo Fisher Scientific as an Intern II and be part of our mission to enable customers to make the world healthier cleaner and safer. This internship opportunity offers practical experience working with diverse teams across various disciplines. Youll gain valuable exposure to meaningful projects while receiving professional mentorship and development opportunities to support your career growth.

Our interns are matched to projects based on their abilities and current business needs. Youll collaborate with cross-functional teams contribute to strategic initiatives and develop practical skills through hands-on experience. Whether youre interested in research and development engineering finance marketing or operations youll have the chance to make significant contributions while building your professional network.

We are looking for a curious and motivated Graduate/Fresher Engineer to join our team and build skills across Data Automation and Artificial Intelligence (AI).

This role is ideal for a recent graduate who has strong programming fundamentals enjoys solving problems and is interested in learning how data engineering automation Generative AI and cloud technologies are applied to real-world business problems.

You will work alongside experienced team members contribute to projects develop prototypes and gain hands-on experience with modern data and AI technologies.

Responsibilities

As part of the team you will have opportunities to:

• Work with data using Python and SQL to perform data preparation analysis transformation and basic data quality checks.
• Develop simple scripts utilities and automation solutions to improve repetitive or manual processes.
• Learn and contribute to data pipelines and data engineering solutions using technologies such as Python PySpark Databricks and cloud platforms.
• Explore and build Generative AI prototypes using Large Language Models (LLMs) APIs prompt engineering and related technologies.
• Experiment with AI-assisted solutions for information extraction summarization search insights and workflow automation.
• Assist in developing and integrating APIs and software components.
• Create simple reports dashboards or visualizations to communicate insights from data.
• Perform testing validation debugging and documentation of solutions.
• Collaborate with team members to understand business problems and translate them into simple technical solutions.
• Learn and follow good software development practices including Git Agile CI/CD data governance and responsible AI practices.

Skills & Qualifications

We are primarily looking for strong fundamentals curiosity and willingness to learn rather than extensive experience with specific technologies.

Essential

• Bachelors degree in Computer Science Information Technology Data Science Artificial Intelligence Engineering or a related field.
• Good programming fundamentals preferably using Python.
• Basic understanding of SQL databases and working with data.
• Understanding of core programming concepts data structures debugging and problem solving.
• Interest in Data Engineering Automation AI and Generative AI.
• Strong analytical and problem-solving mindset.
• Good written and verbal communication skills.
• Ability to learn new technologies and work collaboratively in a team environment.

Good to Have

Exposure through academic projects internships certifications hackathons or personal projects in one or more of the following areas would be an advantage:

• Python libraries such as pandas or PySpark
• Data platforms such as Databricks
• Cloud platforms such as AWS Azure or GCP
• Generative AI and LLMs including OpenAI APIs LangChain LangGraph or similar frameworks
• Concepts such as prompt engineering embeddings RAG or AI agents
• Automation using Python APIs or workflow automation tools
• REST APIs and basic web/service integration
• Visualization tools such as Power BI or Tableau
• Git/GitHub and basic CI/CD or DevOps concepts