Intern Bachelors AI Eng

Job Description
As an Intern Bachelors Data Science here at Honeywell, you will gain hands-on experience in data science and analytics, contributing to projects that drive data-driven insights and optimize operational efficiency. You will work closely with our data science team to develop analytical solutions and support decision-making processes within the organization.
In this role, you will impact our data strategy by supporting data collection, analysis, and visualization efforts, helping to improve processes and drive continuous improvement within the business.
Responsibilities
Key Responsibilities
Assist in data collection, cleaning, and preparation for analysis
Conduct statistical analysis and modeling to uncover patterns and trends in data
Develop and implement machine learning algorithms and models
Collaborate with cross-functional teams to understand business needs and provide data-driven solutions
Communicate findings and insights to stakeholders through visualizations and presentations
Qualifications
YOU MUST HAVE
Experience in data analytics or related field
Proficiency in data analytics tools and programming languages (e.g., Python, R, SQL, etc.)
WE VALUE
Pursuing a Bachelor's degree in Data Science, Analytics, Engineering, or a related field
Experience with data visualization tools (e.g., Tableau, Power BI, etc.)
Strong analytical and problem-solving skills
Ability to translate complex data into actionable insights
About Us
Honeywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy.

Work arrangement
No