🔥 Viewed by 74 students today✓ Verified Listing
Data Scientist
✓ Company career page verified✓ Application route verifiedLast checked on Jun 25, 2026
💼 Experience Required
0-1 Years
🕒 Employment Type
Full-time
🎓 Target Batch
Any
🚀 Role Category
Data Science
📌 How to Apply
Click on the Apply button
💰 Salary
Not publicly disclosed
Compensation follows company standards.
Skills Recommended
PythonRmachine learningstatistical modelingdata analysis
Career Guide • 5 min role analysis
Complete preparation guide for Data Scientist
Honeywell is hiring for Data Scientist (Full-time) in Bangalore, KA, 560103, IN, targeting candidates from the Any batch with 0-1 Years experience. Key skills mentioned in the listing include Python, R, machine learning, statistical modeling. This page goes beyond the raw listing so students can understand what Honeywell usually expects for this role, how to prepare for their screening process, and how to apply more thoughtfully instead of forwarding a generic resume.
AI editorial content is being generated for this role. Check back shortly for personalized interview questions, salary insights, and skill breakdowns.
Related Career Resources
Role Preparation Guide
CampusToCareer EditorialThis page is built as a career preparation guide for Data Scientist at Honeywell. Read the editorial sections below for company context, skill breakdowns, interview preparation, and salary insights. The original employer job description is preserved at the bottom of this page for reference.
💡 Editor's Comprehensive Career Guide for this Role
🏢 About Honeywell & Culture
Honeywell is a leading organization in the technology and services industry, committed to driving innovation and digital transformation. They provide a dynamic and supportive environment for early-career professionals to learn, collaborate, and build solutions at scale. Freshers at Honeywell are integrated into production teams with structured onboarding and mentorship.
📈 Career Progression Pathway
Analytics tracks grow into Senior Data Analyst, Analytics Manager, or transition towards Business Intelligence (BI) Developer and Data Science positions.
💰 Salary & Compensation Insights
Data analyst roles offer competitive compensation with potential for rapid bumps as you master business domain intelligence and high-level predictive modeling tools.
⚡ Recruitment & Selection Process
1
Aptitude & SQL TestEvaluation of logical reasoning, basic mathematics, data interpretation, and query writing.
2
Technical Interview 1Focus on writing SQL queries, explaining Excel analysis models, and simple data processing.
3
Case Study InterviewStructured breakdown of a business problem (e.g., how to improve customer retention).
4
HR RoundEvaluation of presentation capabilities, corporate behavior, and culture fit.
CampusToCareer Analysis
⭐ Original AnalysisLast Verified: Jun 25, 2026
🎯 Should You Apply?
✓ Suitable for:
- ✓ Business graduates
- ✓ Engineering students
- ✓ Students interested in consulting or analytics
✗ Not ideal if:
- ✗ Looking strictly for software development/coding roles
- ✗ Uncomfortable with stakeholder presentations
⚡ Difficulty Level
Application DifficultyMedium
Expected CompetitionHigh
Interview Rounds2–4 rounds
Note: These stats are evaluated by our editorial team based on past application metrics and hiring trends.
🎓 What You Will Learn
Skills you may develop through this role:
- Python
- R
- machine learning
- SQL database query optimization
📝 How to Prepare
- Master SQL basics (joins, subqueries, group by, window functions)
- Understand business analysis lifecycles and requirement gathering
- Practice communication and case study problems
- Learn key metrics (conversion, churn, retention) used in analysis
📄 Resume Match Tips
Highlight these on your resume to stand out:
- ✓ Highlight communication projects and business case studies
- ✓ List SQL and Excel proficiency with concrete project examples
- ✓ Showcase leadership, clubs, or team collaboration experiences
⚠️
Reality Check
This role is less technical and more communication-oriented. Students expecting software development or compiler work may find the role different from expectations.
❓ Frequently Asked Questions
Related Career Guides
Editorial Analysis Disclaimer: The opinions expressed in this CampusToCareer Analysis are formulated by our platform editors to guide students. Please review the official company listing before applying.
Reference Only
Original Job Description
The text below is preserved from the employer's listing for verification. CampusToCareer editorial content above is the primary guide for preparing your application.
Job Description
Job Description
As a Data Scientist I here at Honeywell, you will be responsible for applying data analysis, machine learning, and statistical modeling techniques to solve business problems. You will work closely with senior data scientists and cross-functional teams to develop and implement data-driven solutions that drive business value.
In this role, you will impact the organization by leveraging data to optimize processes, reduce costs, and identify growth opportunities. Your contributions will help position Honeywell at the forefront of data-driven innovation.
Responsibilities
Key Responsibilities
Apply expertise in machine learning, statistical modeling, and data analysis to develop and implement advanced algorithms and analytical solutions
Manage endtoend data science projects, ensuring alignment with business objectives and successful delivery of actionable insights
Provide mentorship and guidance to junior data scientists
Contribute to the strategic vision of the Data Science team
Apply strong analytical and problemsolving skills to address complex data challenges and generate valuable insights
Qualifications
YOU MUST HAVE
0+ years of experience in data science, with a focus on applying machine learning and statistical modeling techniques
Proficiency in programming languages such as Python or R
Strong analytical and problem-solving skills
WE VALUE
Bachelor’s degree or Advanced degree in Computer Science, Statistics, Mathematics, or related discipline
Experience in working on data science projects and delivering actionable insights
Ability to collaborate effectively with cross-functional teams
Strategic thinking and the ability to contribute to the overall direction of the Data Science team
About Us
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.
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Job Info
Job Identification 149401
Job Category Engineering
Posting Date 06/02/2026, 09:44 PM
Job Schedule Full time
Locations
HW Camp II,Bldgs 9A&9B,Plot C2,RMZ Ecoworld,Varturhobli, Bangalore, KA, 560103, IN
Hire Eligibility Internal and External
Relocation Package None