Honeywell: Data Scientist I

Job Description:

Honeywell is hiring for the role of Data Scientist I, offering an exciting opportunity for aspiring data professionals to work on advanced analytics, machine learning, and business-driven innovation. This role is designed for candidates who are passionate about transforming data into meaningful insights and building intelligent solutions that solve real-world business problems. As part of Honeywell’s engineering and innovation ecosystem, you will work on data-driven initiatives that optimize operations, reduce costs, and uncover growth opportunities. The position offers a strong foundation for building a career in artificial intelligence, analytics, and data science.

In this role, you will collaborate with senior data scientists and cross-functional teams to develop machine learning models, perform statistical analysis, and deliver actionable insights. You will work across the end-to-end data science lifecycle, from problem definition and data exploration to model development, validation, and deployment. The role requires strong analytical thinking, programming proficiency, and an understanding of statistical techniques to solve complex challenges. Your work will contribute to business decision-making and help Honeywell strengthen its position as a leader in digital transformation and intelligent solutions.

Honeywell provides a collaborative and innovation-focused environment where learning and experimentation are encouraged. As a Data Scientist I, you will have the opportunity to work on impactful projects, gain exposure to advanced algorithms, and contribute to strategic data initiatives. The role also offers opportunities to develop technical expertise in machine learning and analytics while working alongside experienced professionals, making it an ideal opportunity for freshers and early-career candidates interested in the data science domain.

Roles & Responsibilities:

• Apply machine learning, statistical modeling, and data analysis techniques to develop innovative solutions for business challenges.
• Work on end-to-end data science projects, including data collection, preprocessing, model development, evaluation, and deployment.
• Develop and implement advanced algorithms to generate actionable insights and support data-driven decision-making.
• Collaborate with cross-functional teams to understand business requirements and align analytical solutions with organizational goals.
• Analyze complex datasets to identify patterns, trends, and opportunities for optimization and growth.
• Support process improvement initiatives by leveraging predictive analytics and data-driven recommendations.
• Contribute to strategic data science initiatives and support the long-term vision of the data science team.
• Participate in model validation, performance tuning, and continuous improvement of machine learning solutions.
• Document methodologies, findings, and recommendations clearly for technical and business stakeholders.
• Support knowledge sharing and collaborate with peers to promote best practices in analytics and machine learning.

Requirements & Eligibility:

• Bachelor’s or advanced degree in Computer Science, Statistics, Mathematics, Data Science, or a related discipline.
• 0+ years of experience in data science, making this role suitable for freshers and early-career professionals.
• Strong proficiency in programming languages such as Python or R for data analysis and machine learning.
• Good understanding of machine learning algorithms, statistical modeling, and data analysis concepts.
• Strong analytical and problem-solving skills to handle complex data-driven challenges effectively.
• Familiarity with working on data science projects and generating actionable business insights is an advantage.
• Ability to work collaboratively with cross-functional teams and communicate technical findings clearly.
• Basic understanding of data preprocessing, model evaluation, and deployment concepts.
• Strategic thinking and interest in contributing to broader data science and business objectives.
• Eagerness to learn new tools, technologies, and methodologies in the evolving field of data science.

Expected Salary:

The expected salary for a Data Scientist I at Honeywell in India typically ranges between ₹8 LPA to ₹15 LPA, depending on academic background, technical skills, and project experience. Freshers with strong machine learning knowledge, programming expertise, and internship exposure may receive competitive packages at the higher end. Honeywell also offers additional benefits such as performance bonuses, learning programs, and long-term career growth opportunities.

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