If you are a fresher or experienced candidate looking for a strong opportunity, the Data Scientist I role at Honeywell is a great option. Below are complete details about the role, eligibility, and application process.
Job Overview Table
| Job Role | Data Scientist I |
| Company | Honeywell |
| Location | Bangalore, Karnataka |
| Job Type | Full-Time |
| Experience | Freshers / 0-1 Year |
| Batch Eligible | 2024 / 2025 / 2026 |
| CGPA | 6.0 CGPA or above |
| Backlogs | No active backlogs |
| Gap Year | No year gap allowed |
Why This Role is Worth Considering
Honeywell is a globally recognized technology company with a strong reputation for innovation and excellence in the field of automation, aerospace, and industrial solutions. As a Data Scientist I at Honeywell, freshers will get the opportunity to work on cutting-edge AI and machine learning projects that directly impact business operations and decision-making processes. The company provides excellent mentorship programs where new hires can learn from experienced data professionals and gain hands-on experience with real-world business challenges. Working at Honeywell offers exposure to advanced analytical tools and technologies, helping candidates build a strong foundation for their data science careers. Additionally, the company culture emphasizes continuous learning, professional development, and strategic thinking, making it an ideal environment for fresh graduates to grow and succeed in their chosen field.
About Honeywell
Honeywell International Inc. is a Fortune 100 technology company that has been at the forefront of innovation for over a century. With operations in more than 70 countries and a workforce of approximately 100,000 employees, Honeywell serves industries ranging from aerospace and automotive to healthcare and energy. The company is renowned for its commitment to creating value through technological advancement and sustainable solutions. Honeywell fosters a culture of innovation where employees are encouraged to think strategically and solve complex challenges. The organization provides comprehensive training programs, competitive compensation packages, and numerous opportunities for career advancement. Employees at Honeywell benefit from working in a collaborative environment that emphasizes diversity, inclusion, and professional growth. The company’s focus on research and development ensures that team members stay ahead of industry trends while contributing to meaningful projects that shape the future of technology.
Key Responsibilities
- Develop and implement machine learning models to solve business problems and drive operational efficiency
- Analyze large datasets to identify trends, patterns, and actionable insights for strategic decision-making
- Build statistical models and predictive analytics solutions to support business requirements
- Collaborate with cross-functional teams including data scientists, engineers, and business stakeholders
- Clean, process, and prepare data for analysis using advanced data manipulation techniques
- Create data visualizations and reports to communicate findings to technical and non-technical audiences
- Support end-to-end data science project execution from requirement gathering to implementation
- Apply feature engineering techniques to enhance model performance and accuracy
Eligibility Criteria
| Criteria | Requirement |
|---|---|
| Degree | Bachelor’s or Advanced Degree |
| Branch | Computer Science, Statistics, Mathematics, Related Fields |
| Batch | 2024 / 2025 / 2026 |
| CGPA | 6.0 CGPA or above |
| Backlogs | No active backlogs |
Skills Required
- Proficiency in Python programming language and popular data science libraries like Pandas, NumPy, and Scikit-learn
- Strong understanding of machine learning concepts including supervised and unsupervised learning algorithms
- Knowledge of statistical modeling, probability theory, and hypothesis testing
- Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau
- Understanding of data cleaning, preprocessing, and exploratory data analysis techniques
- Problem-solving skills with ability to think analytically and strategically
- Effective communication skills to present technical findings to non-technical stakeholders
- Team collaboration abilities and willingness to work in cross-functional environments
Is This Role Right for You?
- Good fit if you are a recent graduate with strong analytical skills and passion for data science
- Not ideal if you cannot relocate to Bangalore or prefer remote work arrangements
- Location note: This is a Bangalore-based position with no relocation assistance provided
- Salary note: Competitive package aligned with industry standards for fresher data scientist roles
How to Apply
- Click on the official apply link provided in this job posting
- Register or log in to the Honeywell career portal
- Search for job ID 149401 or Data Scientist I position
- Review complete job description and requirements
- Submit your updated resume and required documents
- Complete the online application form with accurate details
Career Growth
Data Scientist I → Data Scientist → Senior Data Scientist → Lead Data Scientist
