📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka, India 🏢 Company Honeywell 👥 Experience Fresher 🎓 Qualification Bachelor's or Master's Degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or Related Field 📅 Eligible Batch 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹10–16 LPA* 🏢 Industry Technology 🛠 Key Skills Statistical Analysis Machine Learning Data Visualization Data Mining Predictive Modeling Data Scientist I at Honeywell — Full Details & How to Apply Honeywell is seeking a Data Scientist I in Bengaluru, Karnataka, India , where fresh graduates can leverage their skills in a leading technology firm with a competitive salary range of ₹10–16 LPA* . This role is a unique opportunity for those looking to kickstart their careers in data science. The demand for data scientists is surging in India, with the technology sector experiencing significant growth. As a key player in this landscape, Honeywell is at the forefront of innovation, making this Data Scientist I role crucial for freshers eager to contribute to impactful projects. Honeywell has a rich history, founded in 1906 , and its commitment to cutting-edge technology solutions is evident. With over 100,000 employees globally, Honeywell fosters a culture of innovation and collaboration, providing a supportive environment for new talent in the tech industry. This position is ideal for 2024, 2025, 2026 graduates holding a Bachelor's or Master's Degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or Related Field . Freshers can expect a starting salary of ₹10–16 LPA* , making it an attractive entry point into the tech world. In this role, you will work with essential skills such as Statistical Analysis , Machine Learning , Data Visualization , Data Mining , and Predictive Modeling . This exposure not only enhances your technical expertise but also opens doors to advanced career opportunities within a global company. 📊 Role Difficulty: Medium | Competition Level: High | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The Data Scientist I at Honeywell is tasked with transforming complex datasets into actionable insights, driving data-driven decisions across various projects. Analyze large datasets using statistical analysis tools like Python and R to derive actionable insights for business strategies. Develop machine learning models utilizing TensorFlow or Scikit-learn to predict trends and behaviors based on historical data. Collaborate with cross-functional teams, including software engineers and product managers, to integrate data solutions effectively. Monitor and evaluate model performance metrics to ensure accuracy and reliability in data-driven projects. Take ownership of data mining projects, driving initiatives from conception through execution using SQL for data extraction. Document methodologies and findings clearly for internal stakeholders, contributing to knowledge sharing across the organization. Engage with clients to understand their data needs and provide tailored analytical solutions that meet specific requirements. This role fosters an ownership culture, allowing you to directly impact projects and contribute to the success of Honeywell through innovative data solutions. Required Skills & Technical Competencies The ideal candidate for the Data Scientist I position must possess a strong technical skill profile to effectively analyze and interpret data. Technical Skills Statistical Analysis — entry — Essential for interpreting data and making informed decisions using tools like R . Machine Learning — entry — Critical for developing predictive models with algorithms and libraries such as TensorFlow . Data Visualization — entry — Important for presenting data insights clearly, utilizing tools like Tableau . Data Mining — entry — Required for extracting useful information from large datasets, with knowledge of SQL being advantageous. Predictive Modeling — entry — Key for forecasting trends, requiring an understanding of regression techniques. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and application of these skills. Eligibility Criteria This role is specifically designed for fresh graduates eager to start their careers in data science. Candidates must hold a Bachelor's or Master's Degree in Computer Science , Data Science , Statistics , Mathematics , or Engineering . Eligible batches include 2024 , 2025 , and 2026 , allowing fresh graduates to apply early in their careers. This role is specifically designed for freshers , with no prior experience required. A minimum academic performance of 60% is preferred to ensure a strong foundational knowledge in relevant subjects. Having a portfolio or GitHub showcasing relevant projects or internships can significantly enhance a candidate's application. Documentation & Portfolio Requirements Ensure your resume is clear and concise, highlighting your educational background, relevant skills, and any projects or internships that demonstrate your capabilities. Pro tip: Include links to your GitHub or project portfolio to showcase your practical experience and technical skills effectively. Salary for Data Scientist I at Honeywell 💰 Compensation ₹10–16 LPA* The advertised compensation for the Data Scientist I role at Honeywell is ₹10–16 LPA* . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Data Scientist I Upskilling with the right resources significantly enhances your chances of selection for the Data Scientist I role at Honeywell . Recommended Courses & Resources Statistical Analysis — Essential for understanding data trends and making informed decisions. Machine Learning — Crucial for developing predictive models and algorithms. Data Visualization — Helps in presenting data insights effectively to stakeholders. KodNest — Offers hands-on experience with real-world data science projects. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor your resume — Customize your resume to reflect the specific skills and responsibilities listed. ❌ Neglecting relevant projects — Showcase internships or projects that demonstrate your technical abilities. ❌ Using generic language — Include specific metrics or achievements to enhance impact. ❌ Overlooking formatting — Ensure your resume is clear and easy to read. ❌ Not preparing for technical interviews — Practice relevant data science problems to improve performance. ❌ Ignoring application instructions — Follow submission guidelines carefully to avoid disqualification. Before You Apply — Checklist ✅ Research Honeywell 's recent projects and initiatives to tailor your application effectively. ✅ Prepare a targeted resume that highlights your relevant skills and experiences. ✅ Gather any necessary documents, such as transcripts or certificates, for your application. ✅ Review the job description thoroughly to ensure you meet all requirements. ✅ Practice common data science interview questions and problems to prepare for the interview process. ✅ Ensure your LinkedIn profile is updated and reflects your application. ✅ Double-check the application portal for any specific submission guidelines. ✅ Set reminders for follow-up actions post-application submission. Resume Tailoring & ATS Keywords for Data Scientist I Optimizing your resume for ATS is crucial for standing out in the application process for the Data Scientist I role at Honeywell . ATS Keywords to Include Data Scientist Statistical Analysis Machine Learning Data Visualization Data Mining Predictive Modeling Python R SQL TensorFlow Scikit-learn Tableau Resume Tips for This Role Highlight relevant coursework or projects in data science or statistics to showcase your analytical skills. Emphasize experience with specific tools mentioned in the job description, such as Python or R. Include any internships or projects that demonstrate your ability to apply data science concepts in real-world scenarios. Optimize your resume for ATS by including keywords from the job description to increase visibility. Avoid including unrelated work experience that does not demonstrate your fit for the data scientist role. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Avoid including vague statements or irrelevant experience that does not align with the data science role. How to Apply for Data Scientist I at Honeywell Apply Now — Honeywell Visit the application portal and create an account to start your application. Upload your resume in PDF format, ensuring it is tailored to the job description. Fill out the application form accurately, providing all requested information. After submission, you can expect a confirmation email regarding your application status. Use the application portal to track the status of your application and any updates. Applications reviewed on a rolling basis — early submission recommended. Apply Now — Honeywell NexisGrow.com does not charge any fees for job applications. Honeywell Honeywell was founded in 1906 and is headquartered in Charlotte, North Carolina . With a workforce of over 110,000 employees globally, the company has a significant presence in Bengaluru, Karnataka, India , employing thousands. This extensive global footprint allows Honeywell to leverage diverse markets and drive innovation across various sectors. Honeywell offers a diverse portfolio that includes aerospace systems , building technologies , and performance materials . Notable products include Honeywell Forge for industrial analytics and Honeywell Home solutions for smart living. These platforms exemplify the company's commitment to integrating advanced technology into everyday applications. The company has been recognized for its inclusive culture, earning a 4.2 rating on Glassdoor . Honeywell actively promotes employee engagement through various programs, including leadership development and wellness initiatives. These efforts have contributed to a positive workplace environment, fostering collaboration and innovation among its workforce. Recently, Honeywell announced a $1 billion investment in digital transformation, focusing on enhancing its technological capabilities. This initiative underscores the company's strategic direction towards innovation and growth, positioning it to better serve its customers and adapt to market changes. For freshers in Technology, Honeywell offers unparalleled exposure to industry-leading technologies and a robust foundation for career development. The company's commitment to training and mentorship equips new employees with essential skills, making it an ideal launchpad for aspiring professionals in the tech sector. Company Details Industry Technology Location Bengaluru, Karnataka, India Connect With Us Careers Apply Now Website 🔗 ibqbjb.fa.ocs.oraclecloud.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Data Scientist I at Honeywell? Eligibility Tap to expand + Answer Candidates with Bachelor's or Master's Degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or Related Field and Fresher experience are eligible. Eligible batches: 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Statistical Analysis, Machine Learning, Data Visualization, Data Mining, Predictive Modeling. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹10–16 LPA*. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Honeywell? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Statistical Analysis, Machine Learning, Data Visualization, Data Mining, Predictive Modeling. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Data Scientist I interview? Preparation Tap to expand + Answer (1) Core concepts of Statistical Analysis, Machine Learning, Data Visualization, Data Mining, Predictive Modeling, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Honeywell research, (5) Clear communication. ? What is the work culture like at Honeywell? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Bengaluru Browse all Tech jobs Latest Fresher jobs More jobs at Honeywell Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com