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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates capabilities in AI and machine learning initiatives, data engineering, and cybersecurity, with a focus on building and optimizing data pipelines and supporting cloud-based analytics platforms. Engages in collaborative projects that translate business needs into technical solutions while adhering to best practices in development and security.
Highest-signal resume keywords
AI/Machine Learning SupportData Pipeline DevelopmentCybersecurity Vulnerability ManagementCloud Platform ExperienceProgramming Languages: Python, SQL, C#
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringAI-Driven Solutions DesignData Collection and ValidationData Quality ImprovementSecurity Vulnerability AnalysisTesting and DebuggingDocumentation ActivitiesAnalytics Systems SupportApplication DevelopmentCloud-Based Analytics
Soft Skills
CollaborationProblem-SolvingCommunicationAdaptabilityCritical Thinking
Tools & Technologies
Cloud PlatformsModern Development ToolsData Analytics PlatformsCybersecurity ToolsData Reporting Tools
Industry Keywords
Computer ScienceInformation TechnologyData AnalyticsEngineeringCybersecurity
Tech Stack
Tools & technologiesCloudCyber SecurityPythonSQL
About the role
Key responsibilities & impact- Gain real-world experience contributing to innovative, sustainable solutions
- Support enterprise AI and machine learning initiatives used by analytics teams and business stakeholders
- Design, test, and optimize AI-driven solutions
- Build, maintain, and improve data pipelines supporting analytics and reporting
- Assist with data collection, validation, and quality improvement
- Support cloud-based data and analytics platforms
- Support cybersecurity and vulnerability management initiatives across IT and OT environments
- Identify, analyze, and track security vulnerabilities
- Investigate and document security findings
- Work on projects supporting data, applications, security, and analytics systems
- Participate in development, testing, debugging, analysis, and documentation activities
- Collaborate with cross-functional teams across the business
- Translate business needs into technical work with support from experienced team members
- Learn and apply best practices for development, security, data, and system reliability
- Contribute to technology solutions that improve business and operational outcomes
- Connect with fellow interns and engage with leaders across Copeland
Requirements
What you’ll need- Currently enrolled in a bachelor’s program in Computer Science, Information Technology, Data Analytics, Engineering, or related field
- Legal authorization to work in the United States
- Sponsorship will not be provided
- Cumulative GPA of 3.0 or higher preferred
- Exposure to programming languages such as Python, SQL, C# or similar preferred
- Interest in data engineering, AI/ML, cybersecurity, or application development preferred
- Experience with cloud platforms or modern development tools through coursework or projects preferred
- Hands-on learning through class projects, internships, or personal work preferred
- Anticipated graduation of December 2027 or May 2028 preferred
Benefits
Comp & perks- Paid internship experience
- Competitive compensation and benefits
- Flexible dress code
- Collaborative work environment
- Social, networking, and professional development events
- Relocation assistance may be provided to program participants who reside more than 51 miles from the internship location
- Medical insurance plans
- Dental and vision coverage
- 401(k)
- Flexible time off plans
- Paid parental leave
- Vacation and holiday leave