Remote Data Science & Analytics Intern - Summer 2027

Otis Worldwide Corporation; Connecticut; Hybrid; USD 41,000 - 48,000; Full time

Benefits offered by this job

Remote-friendly internship

Job summary

Otis Worldwide Corporation seeks a Data Science & Analytics Intern for Summer 2027 to transform operational, financial, and customer data into actionable insights. You will partner with Data & AI teams and stakeholders to identify analytical needs and define project requirements.

The role emphasizes hands-on data cleaning, model development, and AI/GenAI workflows, with mentorship from experienced data scientists. Remote-friendly internship in a global company.

Qualifications

• Hands-on experience with data analysis, data manipulation, and AI/GenAI technologies.
• Strong programming skills in Python and SQL.
• Experience with machine learning, statistical analysis, and data visualization tools is preferred.

Responsibilities

• Partner with Data & AI team members and stakeholders to understand analytical needs and define project requirements.
• Identify, access, and integrate data from multiple enterprise systems and platforms.
• Clean, transform, and analyze data to uncover insights and opportunities.
• Develop and evaluate analytical models or AI/GenAI workflows to address business challenges.
• Translate findings into actionable recommendations for operations and strategy.
• Communicate results through presentations and visuals to team members and stakeholders.
• Stay current with emerging data science and AI techniques and contribute ideas.

Skills

Python

SQL

Data analysis

Machine learning

AI/GenAI

Data visualization

Education

Master's or PhD in Data Science/OR/Industrial Engineering/Statistics/CS/Math

Job description

Otis Worldwide Corporation seeks a Data Science & Analytics Intern for Summer 2027 to transform operational, financial, and customer data into actionable insights. You will partner with Data & AI teams and stakeholders to identify analytical needs and define project requirements.

The role emphasizes hands-on data cleaning, model development, and AI/GenAI workflows, with mentorship from experienced data scientists. Remote-friendly internship in a global company.