Looking to launch your career in Data Science with a global technology leader? ๐ Honeywell is inviting applications for the Data Scientist I role. This is an excellent opportunity for fresh graduates and early-career professionals who are passionate about machine learning, analytics, and solving real-world business problems. If you have programming knowledge in Python or R and enjoy working with data, this role could be the perfect starting point for your career.
๐ Job Overview
๐ข Company: Honeywell
๐ผ Role: Data Scientist I
๐ Eligibility: Freshers | Any Graduate (Preferred: Computer Science, Statistics, Mathematics, or related fields)
๐ Location: PAN India (Primary location: Bengaluru)
๐ผ Employment Type: Full-Time
๐ Job ID: 154260
๐ข About Honeywell
Honeywell is a Fortune 100 multinational company that develops innovative technologies across aerospace, industrial automation, smart buildings, energy transition, and sustainability. Its solutions help businesses improve efficiency, enhance safety, and accelerate digital transformation. With operations in more than 70 countries, Honeywell invests heavily in AI, cloud technologies, IoT, and data analytics. Working at Honeywell gives employees exposure to global projects, cutting-edge technologies, and a collaborative engineering culture that encourages innovation and continuous learning.
๐ Why This Role Is Great for Freshers
This role is ideal for graduates looking to build a career in Data Science. You’ll work with experienced data scientists, gain practical exposure to machine learning models, and contribute to real business problems instead of hypothetical datasets. The position offers opportunities to learn advanced analytics, statistical modeling, and AI techniques while collaborating with cross-functional teams. You’ll also develop strong problem-solving and communication skills, making this an excellent foundation for long-term growth in analytics and artificial intelligence.
๐ผ Roles & Responsibilities
- Develop machine learning and statistical models to solve business challenges.
- Analyze structured and unstructured datasets to generate actionable insights.
- Build and improve predictive analytics solutions.
- Support end-to-end data science projects from data collection to deployment.
- Collaborate with engineering and business teams to understand requirements.
- Present analytical findings through reports and visualizations.
- Improve business processes using data-driven recommendations.
- Contribute to innovation initiatives within the Data Science team.
๐ฏ Skills Required
- Python or R programming.
- Machine Learning fundamentals.
- Statistics and Probability.
- Data Cleaning and Preprocessing.
- SQL for data querying.
- Exploratory Data Analysis (EDA).
- Data Visualization using Matplotlib, Seaborn, or Power BI.
- Basic knowledge of Pandas, NumPy, and Scikit-learn.
- Understanding of regression, classification, and clustering algorithms.
- Strong analytical thinking and problem-solving skills.
- Effective communication and teamwork.
- Curiosity to learn emerging AI and analytics technologies.
๐ฐ Expected Salary Range
Although Honeywell has not officially disclosed the compensation, based on current industry trends, freshers hired for similar Data Scientist roles can expect:
- Estimated CTC: โน8 LPA โ โน15 LPA
Additional benefits may include: - Performance bonuses.
- Health insurance.
- Learning and certification programs.
- Paid leave.
- Employee wellness initiatives.
- Global project exposure.
- Career development opportunities.
๐งฉ Expected Interview Rounds
Candidates may generally expect the following hiring process:
1๏ธโฃ Resume Screening
- Academic background.
- Technical skills.
- Projects and internships.
2๏ธโฃ Online Assessment
- Python or R programming.
- Aptitude.
- Logical reasoning.
- Basic SQL.
3๏ธโฃ Technical Interview
- Machine Learning concepts.
- Statistics.
- Data preprocessing.
- Project discussions.
- Problem-solving scenarios.
4๏ธโฃ Managerial Interview
- Communication skills.
- Collaboration.
- Business understanding.
- Learning mindset.
5๏ธโฃ HR Discussion
- Career goals.
- Compensation.
- Joining formalities.
๐ Preparation Tips
To improve your chances of selection, focus on practical learning rather than only theoretical concepts.
- Build at least two end-to-end machine learning projects using real-world datasets from Kaggle or open government sources.
- Practice writing clean Python code using Pandas, NumPy, and Scikit-learn instead of relying only on notebooks.
- Learn how to explain model selection, feature engineering, evaluation metrics, and business impact in simple language.
- Strengthen your SQL skills by practicing joins, aggregations, window functions, and query optimization.
- Create dashboards in Power BI or Tableau to present insights effectively, as visualization skills are valuable in business environments.
- Revise core statistics concepts such as probability distributions, hypothesis testing, correlation, and confidence intervals.
- Read about responsible AI, model bias, and data ethics, as these topics are increasingly important in modern data science roles.
๐ Resume Tips
- Keep your resume to one page with an ATS-friendly format.
- Highlight machine learning, Python, SQL, and statistics near the top of your skills section.
- Showcase 2โ3 quality data science projects with measurable outcomes rather than listing many small exercises.
- Include GitHub and LinkedIn profile links if they demonstrate active technical work.
- Mention datasets, algorithms used, evaluation metrics, and the business problem solved for each project.
- Add relevant certifications in Data Science, Python, Machine Learning, SQL, or Cloud technologies.
- Quantify achievements wherever possible, such as model accuracy improvements or processing time reductions.
- Carefully proofread your resume to ensure there are no formatting or grammatical errors.
๐ฅ How to Apply?
๐ Application Link: Click Here
- Visit Honeywell’s official Careers portal.
- Search using Job ID: 154260 or Data Scientist I.
- Review the eligibility criteria and job description carefully.
- Prepare an updated ATS-friendly resume highlighting your projects and technical skills.
- Complete the online application and upload your resume.
- Monitor your email regularly for assessment and interview updates.
- Apply as early as possible, as applications may close once suitable candidates are shortlisted.
๐ If you’re passionate about Data Science, Machine Learning, and using data to solve meaningful business problems, Honeywell’s Data Scientist I role offers an excellent opportunity to begin your career with a globally recognized technology company. Apply early and take the first step toward an exciting future in AI and analytics!
