Data Science Intern na Dunmore International Corp

Dunmore International Corporation is seeking a part-time Data Engineering & AI/ML Intern to support our Data Engineering and IT teams. This role will contribute to strengthening our data infrastructure, enhancing internal software systems, and advancing AI/ML initiatives with a focus on delivering immediate business impact. The ideal candidate will be pursuing or hold a degree in Data Science, Engineering, or a related field and have strong interest in applied machine learning and modern data technologies.

Key Duties & Responsibilities

• Support the development, maintenance, and optimization of data infrastructure and pipelines.
• Assist in software engineering projects, including building and improving internal applications and automation workflows.
• Evaluate and contribute to the development of generative AI and ML use cases that enhance efficiency and business outcomes.
• Analyze, clean, and prepare datasets to ensure accuracy and reliability for reporting and AI/ML applications.
• Assist with data modeling, integration, and governance to improve data quality across systems.
• Conduct exploratory data analysis (EDA) and provide insights to support decision-making.
• Develop documentation and training materials for tools, workflows, and processes.
• Collaborate cross-functionally with Data Engineering, IT, and business stakeholders to translate requirements into technical solutions.
• Research and recommend emerging tools, frameworks, and methodologies in data science, software engineering, and AI.
• Participate in code reviews, version control (GitHub), and collaborative development practices.

Focus Areas / Projects

• Data Infrastructure & Pipelines: Enhance and automate pipelines to support reporting and analytics.
• Generative AI Process Automation: Prototype AI solutions that reduce repetitive, manual processes.
• AI for Forecasting: Apply ML models to improve demand and production forecasts.
• SIOP Data Automation: Automate data workflows within the Sales, Inventory & Operations Planning process.
• Intelligent Document Handling: Explore AI/ML solutions for classification, summarization, and data extraction from business documents.
• GitHub Enablement: Support the launch of Dunmore’s GitHub environment and contribute to best practices in collaborative development.