Data Scientist at Honeywell

📋 Job Details at a Glance 📍 Location Bengaluru, India 🏢 Company Honeywell 👥 Experience 0-2 years 🎓 Qualification Any Graduate 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹7 LPA 🏢 Industry Technology 🛠 Key Skills Communication Skills Problem Solving Basic Computer Knowledge Data Scientist at Honeywell — Full Details & How to Apply Honeywell is seeking a passionate Data Scientist to join its innovative team in Bengaluru, India . This role offers fresh graduates a unique opportunity to kickstart their careers in a fast-growing technology environment . As a Data Scientist , you will be at the forefront of transforming data into actionable insights that drive strategic decisions and innovations. In today's data-driven landscape, the role of a Data Scientist is more critical than ever. With organizations increasingly relying on data analytics to inform their strategies, the demand for skilled professionals in this field continues to rise. The ability to extract meaningful insights from vast datasets not only enhances operational efficiency but also fuels product innovation. As a result, Data Scientist jobs are becoming essential in shaping the future of technology and business. Honeywell stands out as a technology leader, fostering an environment where creativity and analytical skills can thrive. The company's commitment to innovation is reflected in its diverse range of products and solutions that impact various industries globally. By joining Honeywell , you will be part of a culture that values collaboration and continuous learning, making it an ideal workplace for aspiring Data Scientists . The company’s focus on employee development ensures that you will have access to resources and mentorship that will accelerate your career growth. This role is ideal for both freshers and candidates with up to 2 years of experience . If you are a B.Tech, MCA, or any graduate from the 2023, 2024, 2025, or 2026 batches, this is your chance to gain hands-on experience in a globally recognized company. Candidates with strong communication skills and a knack for problem-solving will find this opportunity particularly rewarding, as you will be expected to work on projects that directly impact the company's bottom line. As a Data Scientist at Honeywell , you will gain invaluable experience in cloud architecture , production-grade Java development , and Agile workflows . This role will not only enhance your technical skills but also provide you with a platform to apply your knowledge in real-world scenarios, setting a solid foundation for your career in technology. NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting, ensuring you have the most accurate and up-to-date information to apply online for this role in Honeywell recruitment . Job Role & Responsibilities The role of a Data Scientist at Honeywell is pivotal in leveraging data to drive informed decision-making and innovation within the technology sector. As part of a dynamic team, you will analyze complex datasets to extract actionable insights that directly influence business strategies and product development. Analyze complex datasets to extract actionable insights that inform business strategies and product development. Utilize tools such as Python , R , and SQL to perform statistical analysis and data modeling, ensuring data integrity and accuracy. Collaborate with cross-functional teams , including product managers and engineers, to translate data findings into practical solutions. Measure and report on key performance indicators ( KPIs ), providing stakeholders with data-driven recommendations for improvement. Take ownership of specific projects, driving them from conception to execution while continuously seeking opportunities for personal and professional growth . Document analytical processes and results clearly, ensuring transparency and facilitating knowledge sharing within the team. Employ innovative problem-solving techniques to address data challenges, contributing to the overall efficiency of data operations. Participate in team meetings to discuss project progress and share insights, fostering a collaborative environment. This role embodies an ownership culture where you will have the opportunity to make significant contributions to projects, ensuring that your work has a lasting impact on the success of Honeywell . Required Skills & Technical Competencies The ideal candidate for the Data Scientist position at Honeywell should possess a robust skill profile that combines technical expertise with strong interpersonal abilities. This blend is essential for effectively communicating complex data insights to diverse stakeholders. Technical Skills Python (Intermediate) — utilized for data manipulation and statistical analysis in various projects. R (Basic) — employed for statistical modeling and data visualization tasks. SQL (Intermediate) — used for querying databases and managing data extraction processes. Data Visualization Tools (Tableau, Power BI) — essential for presenting data insights in a compelling manner. Excel (Advanced) — leveraged for data analysis and reporting, ensuring accuracy in data interpretation. Statistical Analysis — foundational knowledge required for interpreting data trends and patterns. Soft Skills & Professional Competencies Strong communication skills — essential for articulating complex data insights to non-technical stakeholders. Problem-solving — ability to tackle data-related challenges effectively in real-world scenarios. Teamwork — crucial for collaborating with diverse teams in a fast-paced environment. Adaptability — necessary for thriving in a dynamic workplace and adjusting to evolving project requirements. Good to Have (Bonus) GitHub — showcasing relevant projects and contributions to open-source data science initiatives. Certifications in Data Science — such as those from recognized platforms to validate your expertise. Experience with Machine Learning — understanding of basic algorithms and their applications. To effectively showcase these skills in your resume or during an interview for the Data Scientist role at Honeywell , focus on specific projects and experiences that highlight your technical competencies and problem-solving abilities. Eligibility Criteria This role is designed for recent graduates and early-career professionals eager to start their journey in data science within a leading technology company like Honeywell . Candidates must hold a degree in any field , with a preference for those who have studied mathematics, statistics, or computer science. Eligible batches include 2023, 2024, 2025, and 2026 graduates. Minimum CGPA of 6.0 is preferred to ensure a foundational understanding of analytical concepts. This role is open to freshers with 0-2 years of experience , providing an entry point into the technology sector. Prior internship or hands-on project experience is a strong advantage. Candidates with relevant certifications in data science will strengthen their applications. Documentation & Portfolio Requirements Prepare a well-structured resume highlighting your academic achievements, relevant projects, and any certifications. Additionally, consider showcasing your work on platforms like GitHub to demonstrate your practical skills. Pro Tip: Tailor your application to emphasize your analytical projects and any experience with data visualization tools to improve your success rate for the Data Scientist role at Honeywell . Salary & Benefits 💰 Compensation ₹7 LPA The starting salary for the Data Scientist role at Honeywell is ₹7 LPA , which is competitive within the industry and reflective of the candidate's potential. Honeywell is committed to providing a comprehensive compensation package that not only rewards employees for their contributions but also supports their overall well-being. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Learning & Development Programs — access to training and certification opportunities to enhance your skills Flexible Working Hours — options for hybrid work to support work-life balance Annual Performance Bonus — based on individual and company performance Meal Allowances — to support your daily sustenance needs Additional Perks & Benefits Transportation Support — assistance for commuting to and from work Stock Options — opportunity to own a part of Honeywell Mentorship Opportunities — pairing with experienced professionals for career guidance Wellness Programs — initiatives to promote physical and mental health Employee Discounts — on various products and services Career Progression & Salary Growth Honeywell supports career advancement through clear promotion timelines, with annual performance appraisals typically resulting in 5-10% salary increases . Employees can expect opportunities for internal mobility, allowing them to explore different roles within the organization. NexisGrow.com tip: When negotiating your salary, emphasize your unique skills and any relevant experience that can add value to Honeywell . Selection Process The hiring philosophy at Honeywell emphasizes finding candidates who not only possess the necessary skills but also align with the company culture. The selection process is designed to assess both technical capabilities and interpersonal skills. 1 Round 1: Initial Screening — review of applications based on qualifications and relevant skills, followed by a brief phone interview. 2 Round 2: Technical Interview — focused on data analysis skills, problem-solving abilities, and understanding of statistical concepts. 3 Round 3: Final Interview — with team leads or managers, assessing cultural fit and communication skills . 4 Final Stage: Offer Extension — for selected candidates, followed by a background check to ensure compliance with company policies. What Each Round Tests Round 1 evaluates your qualifications and relevant experience . Round 2 dives deep into your technical knowledge, particularly in data analysis and statistical concepts. Round 3 focuses on your cultural fit and communication skills to ensure alignment with Honeywell 's values. Timeline & Expectations The entire selection process typically takes 4-6 weeks from application submission to final offer. Candidates can expect timely communication from Honeywell regarding their application status and next steps. Interview Prep Tip: Familiarize yourself with Honeywell 's products and values, as demonstrating knowledge about the company can set you apart. How to Apply for Data Scientist at Honeywell Apply Now — Honeywell Step 1: Click the Apply button or visit the official career link provided to access the application portal. Step 2: Fill in your profile and upload your resume, highlighting relevant projects and skills that align with the role. Step 3: Expect an email confirmation upon submission, detailing the next steps in the screening process. Step 4: Prepare for interviews by reviewing technical concepts and practicing communication skills . Step 5: Track your application status through the portal for updates. Resume & Profile Tips for This Role Highlight your experience with Python and data analysis projects. Include any relevant coursework or certifications in machine learning or statistics . Showcase your problem-solving skills through specific examples. Emphasize your ability to work in cross-functional teams and your communication skills . Note: Applications are reviewed on a rolling basis, so early submission is encouraged to increase your chances. Apply Now — Official Link NexisGrow.com does not charge any fees for job applications. Frequently Asked Questions Interview · Role · Salary · Growth ? What are the eligibility criteria for the Data Scientist role at Honeywell? Eligibility Tap to expand + Answer Candidates must possess any graduate degree, with a preference for those from mathematics or computer science backgrounds. Eligible batches include 2023 to 2026, targeting freshers and early-career professionals. ? What is the interview process for Data Scientist at Honeywell? Interview Tap to expand + Answer The process includes an initial screening, a technical interview assessing data analysis skills, and a final interview focusing on cultural fit and communication. ? What technologies and tools will I work with? Tech Stack Tap to expand + Answer Candidates will primarily use Python, R, SQL, and data visualization tools like Tableau, focusing on data analysis and modeling. ? What is the salary and compensation for this role? Salary Tap to expand + Answer The starting salary is ₹7 LPA, with opportunities for growth and performance-based bonuses. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer This role is primarily onsite in Bengaluru, with potential for hybrid arrangements based on company policy. ? What is the career growth path after joining Honeywell as a Data Scientist? Growth Tap to expand + Answer In the first 6-12 months, employees can expect to take on more complex projects, with opportunities for promotion and role expansion within 2-3 years. ? How should I prepare for the Data Scientist interview at Honeywell? Preparation Tap to expand + Answer Candidates should focus on data analysis techniques, statistical concepts, and be prepared to discuss relevant projects and problem-solving approaches. ? How do I apply and what documents are needed? Application Tap to expand + Answer To apply, visit the official career link, and submit your resume highlighting relevant skills and projects. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Yes, there is typically a 3-6 month probation period, during which performance will be evaluated to ensure alignment with company expectations. ? What is the work culture like at Honeywell? Culture Tap to expand + Answer Honeywell promotes a collaborative and inclusive culture, emphasizing continuous learning and teamwork among employees. 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