Intern Masters Data Science

As an Intern Masters Data Science here at Honeywell, you will have the opportunity to work on real-world data science projects that drive business value. You will gain hands-on experience in data analysis, machine learning, and data visualization, working alongside experienced data scientists and engineers. This internship will provide you with valuable insights into the data science field and help you develop the skills needed for a successful career.

In this role, you will impact the organization by contributing to data-driven decision-making processes, optimizing business operations, and enhancing customer experiences through advanced data analytics.

Responsibilities

Key Responsibilities

• Analyze and interpret large datasets to identify trends and patterns
• Develop predictive models using machine learning algorithms
• Collaborate with crossfunctional teams to gather requirements and provide datadriven insights
• Present findings and recommendations to stakeholders

Qualifications

YOU MUST HAVE

• Experience in data analysis and machine learning
• Proficiency in programming languages like Python or R
• Familiarity with data visualization tools such as Tableau or Power BI

WE VALUE

• Pursuing a Masters degree in Data Science, Computer Science, or a related field
• Strong problem-solving and analytical skills
• Ability to work collaboratively in a team environment
• Passion for continuous learning and staying updated with emerging technologies

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.

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