is offering an exciting opportunity for freshers through its Intern – Data Science role in Bengaluru, India. This internship is ideal for candidates who want to build a career in data science, artificial intelligence, and analytics by working on real-world industry problems. If you are passionate about data, machine learning, and innovation, this is a great opportunity to start your journey.
Job Overview
- Company: Honeywell
- Position: Intern – Data Science
- Qualification: Bachelor’s / Master’s Degree
- Experience: Freshers
- Location: Bengaluru, India (Onsite)
- Job Type: Internship
- Domain: Data Science / AI / Analytics
About the Role
The Data Science Internship at Honeywell is designed for students and fresh graduates who want hands-on experience in data-driven technologies. In this role, you will work on real-time datasets, develop machine learning models, and support analytics-driven decision-making processes.
You will collaborate with experienced data scientists and engineers to build solutions that solve business and engineering problems. The internship focuses on applying theoretical knowledge to practical use cases such as predictive modeling, data analysis, and automation. This is a great opportunity to gain exposure to industry-level tools and workflows used in global organizations.
Role Overview
- Work on data analysis and modeling tasks
- Develop machine learning models
- Clean and process datasets
- Collaborate with data science teams
- Support research and experimentation
- Improve model accuracy and performance
- Document findings and results
Key Responsibilities
- Analyze large datasets to extract insights and patterns
- Develop and test machine learning models
- Perform data cleaning, preprocessing, and transformation
- Collaborate with teams to implement data-driven solutions
- Work on predictive analytics and statistical modeling
- Document models, experiments, and results
- Support deployment and validation of models
- Stay updated with latest data science trends and tools
Required Skills
- Basic understanding of data science and machine learning concepts
- Knowledge of programming languages like Python or R
- Familiarity with libraries such as Pandas, NumPy, Scikit-learn
- Understanding of statistics and probability
- Data visualization skills using tools like Matplotlib or Power BI
- Problem-solving and analytical thinking
- Ability to work in a team environment
- Good communication skills
Eligibility Criteria
- Bachelor’s or Master’s Degree in Computer Science, Data Science, Statistics, or related field
- Freshers and students are eligible
- Candidates with academic or personal projects in data science preferred
- Basic programming and analytical skills required
- Passion for AI, data, and analytics
Work Environment
Honeywell provides a professional and innovation-driven work environment where interns get the opportunity to work on real-world problems. The Bengaluru office is a major hub for technology and engineering, offering exposure to global projects and advanced tools.
You will work alongside experienced professionals in a collaborative setting that encourages learning, experimentation, and growth. This internship helps freshers gain confidence and industry exposure in the field of data science.
Career Growth Opportunities
- Hands-on experience in data science and machine learning
- Exposure to real-world business and engineering problems
- Opportunity to work with global teams
- Skill development in analytics and AI tools
- Build a strong portfolio with live projects
- Possibility of full-time conversion
- Strong foundation for careers in AI, ML, and data analytics
Why Join Company
- Work with a globally recognized technology company
- Excellent opportunity for freshers in data science
- Exposure to real-time industry projects
- Learning-focused and supportive environment
- Opportunity to work with experienced data scientists
- Career growth in AI and analytics domain
How to Apply
- Visit the official Honeywell careers page using the link below
- Open the Intern – Data Science job listing
- Read the complete job description carefully
- Click on apply
- Fill in your personal and academic details
- Upload your updated resume
- Submit your application and wait for updates
