Thermo Fisher Scientific is offering an Intern II opportunity for a graduate/fresher engineer interested in data, automation, and artificial intelligence (AI).
The role is designed for recent graduates with strong programming fundamentals who want practical exposure to Python, SQL, data engineering, automation, generative AI, cloud technologies, and software development.
Selected interns will work with experienced team members, contribute to projects, build prototypes, and gain hands-on experience with modern data and AI technologies.
Thermo Fisher Scientific’s official careers platform highlights its student and new-graduate opportunities as hands-on roles where candidates can solve real-world problems and work alongside colleagues and leaders across different functions.
Job Details
| Details | Information |
|---|---|
| Company | Thermo Fisher Scientific |
| Job Role | Intern II |
| Profile | Graduate/Fresher Engineer |
| Focus Area | Data, Automation & Artificial Intelligence |
| Work Schedule | Standard, Monday–Friday |
| Work Environment | Office |
| Job Type | Internship |
| Experience | Graduate/Fresher |
| Primary Skills | Python, SQL, Data, Automation, AI |
| Other Technologies | PySpark, Databricks, Cloud, LLMs, APIs |
| Location | Not specified in the supplied vacancy |
| Salary/Stipend | Not disclosed in the supplied vacancy |
About Thermo Fisher Scientific
Thermo Fisher Scientific is a global company serving the scientific community. Its mission is to enable customers to make the world healthier, cleaner, and safer.
The company works across areas including life sciences research, analytical challenges, laboratory productivity, diagnostics, and the development and manufacture of therapies. Its official careers site describes the organization as the world leader in serving science.
Thermo Fisher Scientific also maintains dedicated opportunities for students, new graduates, and early-career professionals. Its official early-career information highlights entry-level opportunities for recent university graduates.
About the Job
The Intern II position is aimed at a curious and motivated graduate or fresher engineer who wants to develop practical skills across data engineering, automation, and AI.
Rather than requiring extensive experience in every technology, the vacancy emphasizes strong fundamentals, curiosity, and willingness to learn.
The intern will work with experienced professionals and contribute to real projects involving data preparation, automation, data pipelines, generative AI prototypes, APIs, dashboards, and software validation.
Job Responsibilities
As part of the team, the intern may:
- Work with data using Python and SQL.
- Perform data preparation, analysis, and transformation.
- Conduct basic data quality checks.
- Develop simple scripts, utilities, and automation solutions.
- Improve repetitive or manual processes through automation.
- Learn and contribute to data pipelines and data engineering solutions.
- Work with technologies such as Python, PySpark, and Databricks.
- Gain exposure to cloud platforms.
- Explore and develop generative AI prototypes.
- Work with Large Language Models (LLMs), APIs, and prompt engineering.
- Experiment with AI-assisted information extraction, summarization, search, and insights.
- Contribute to workflow automation solutions.
- Assist with developing and integrating APIs and software components.
- Create simple reports, dashboards, and data visualizations.
- Perform testing, validation, and debugging.
- Document technical solutions and processes.
- Work with team members to understand business problems.
- Translate business requirements into simple technical solutions.
- Learn and follow software development practices such as Git, Agile, and CI/CD.
- Gain awareness of data governance and responsible AI practices.
Required Skills
Essential Skills
The vacancy lists the following essential requirements:
- Bachelor’s degree in computer science, information technology, data science, artificial intelligence, engineering, or a related field.
- Good programming fundamentals, preferably in Python.
- Basic understanding of SQL.
- Basic understanding of databases and data.
- Knowledge of core programming concepts.
- Understanding of data structures.
- Debugging and problem-solving skills.
- Interest in Data Engineering.
- Interest in Automation.
- Interest in Artificial Intelligence and Generative AI.
- Strong analytical and problem-solving mindset.
- Good written and verbal communication.
- Ability to learn new technologies.
- Ability to collaborate effectively within a team.
Good-to-Have Skills
Exposure through academic projects, internships, certifications, hackathons, or personal projects can be useful in areas such as
- Python libraries such as pandas or PySpark.
- Databricks.
- Cloud platforms such as AWS, Azure, or GCP.
- Generative AI and LLMs.
- OpenAI APIs.
- LangChain.
- LangGraph.
- Prompt engineering.
- Embeddings.
- Retrieval-Augmented Generation (RAG).
- AI agents.
- Python-based automation.
- API and workflow automation.
- REST APIs.
- Basic web or service integration.
- Power BI.
- Tableau.
- Git and GitHub.
- CI/CD.
- DevOps concepts.
Eligibility Criteria
Based on the supplied vacancy, candidates should meet the following requirements:
- Be a Graduate/Fresher Engineer.
- Hold a bachelor’s degree in computer science, IT, data science, AI, engineering, or a related field.
- Have good programming fundamentals, preferably in Python.
- Understand basic SQL and database concepts.
- Understand core programming concepts and data structures.
- Have an analytical and problem-solving mindset.
- Be interested in data engineering, automation, and AI.
- Have good written and verbal communication skills.
- Be willing to learn new technologies.
- Be comfortable working collaboratively with a team.
The posting does not specify a minimum percentage, graduation year, age limit, or prior work-experience requirement.
Salary & Benefits
Salary
The salary/stipend has not been disclosed in the official job notification.
Candidates should check the official application page for compensation information applicable to the specific internship.
Internship Experience
Thermo Fisher Scientific’s official student and new-graduate information highlights hands-on experience, exposure to real-time problems, and opportunities to work with colleagues and leaders from different departments.
The company also states that internships can provide a pathway toward future full-time opportunities based on performance and business needs.
Selection Process
The company has not published a detailed selection process for this vacancy. Candidates should follow the instructions provided during recruitment.
Applicants should be prepared to demonstrate their programming fundamentals, problem-solving ability, data knowledge, and interest in AI and automation.
Who Should Apply?
This opportunity may be suitable for:
- Recent computer science graduates.
- IT graduates interested in data and AI.
- Engineering graduates with programming skills.
- Data science or artificial intelligence graduates.
- Freshers with strong Python fundamentals.
- Candidates who have completed Python or SQL projects.
- Candidates interested in generative AI and LLM applications.
- Candidates who want practical exposure to data engineering.
- Candidates with academic projects involving automation, APIs, or cloud technologies.
You do not need to have experience with every technology listed under the “Good to Have” section. The vacancy specifically emphasizes fundamentals, curiosity, and willingness to learn.
Resume Tips
For this role, your resume should focus on practical technical skills rather than simply listing programming languages.
Recommended Resume Keywords
- Python
- SQL
- Data Engineering
- Data Analysis
- Data Transformation
- Data Quality
- Automation
- Generative AI
- Artificial Intelligence
- LLM
- Prompt Engineering
- PySpark
- Databricks
- AWS
- Azure
- GCP
- REST API
- API Integration
- pandas
- RAG
- Embeddings
- AI Agents
- Git
- GitHub
- CI/CD
- Power BI
- Tableau
- Debugging
- Problem Solving
Project Tip
Freshers should prominently mention relevant academic, personal, or hackathon projects.
For example, a project involving Python + SQL + data analysis, a RAG chatbot, an automation script, an API integration, or a data pipeline can demonstrate skills relevant to this position.
How to Apply
Interested candidates should apply through the official Thermo Fisher Scientific careers portal and search for the relevant Intern II / Graduate-Fresher Engineer opportunity.
Before applying, candidates should verify the latest vacancy details, including location, application status, and any role-specific requirements.
Apply Now
Company: Thermo Fisher Scientific
Position: Intern II – Graduate/Fresher Engineer
Focus: Data, Automation & Artificial Intelligence
Schedule: Monday–Friday
Work Environment: Office
Official Careers: Thermo Fisher Scientific’s careers portal.
Important Note
The supplied vacancy does not provide a specific location, application deadline, salary/stipend, job requisition ID, or detailed interview process.
Candidates should verify these details on the official Thermo Fisher Scientific careers portal before submitting an application.
The role is particularly relevant for graduates who want to build a career at the intersection of data engineering, automation, generative AI, and cloud technologies.
Disclaimer
The information provided in this post is for informational purposes only and is based on publicly available job information. JobHunt Daily does not guarantee selection or employment.
Candidates should verify the latest job details on the company’s official careers website before applying. We do not charge any fee for providing job information.
FAQs
1. What is the Thermo Fisher Scientific Intern II role?
It is an internship opportunity for a graduate/fresher engineer interested in data, automation, and artificial intelligence.
2. Who can apply for this role?
Candidates with a Bachelor’s degree in Computer Science, IT, Data Science, Artificial Intelligence, Engineering or a related field can apply based on the supplied eligibility requirements.
3. Is this a fresher job?
Yes. The vacancy specifically describes the target candidate as a Graduate/Fresher Engineer.
4. What programming language is preferred?
Python is the preferred programming language mentioned in the vacancy.
5. Is SQL required?
Yes. Basic knowledge of SQL, databases and working with data is listed as an essential requirement.
6. What AI technologies are relevant to the role?
The role includes exposure to Generative AI, Large Language Models, APIs, prompt engineering, embeddings, RAG and AI agents.
7. Is Databricks required?
Databricks is listed under the Good to Have skills rather than the essential requirements.
8. Are cloud skills required?
Cloud exposure is listed as an advantage. The vacancy mentions AWS, Azure and GCP.
9. Is previous work experience mandatory?
The supplied vacancy does not specify prior work experience as a mandatory requirement. It is aimed at a Graduate/Fresher Engineer.
10. What is the salary for the internship?
The salary/stipend has not been disclosed in the official job notification.
11. What is the selection process?
The company has not published a detailed selection process for this vacancy. Candidates should follow the instructions provided during recruitment.
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