About the role
AI summarisedThis internship role focuses on applying data science and automation techniques to support manufacturing data analysis and process optimization. The intern will design data pipelines, build machine learning models, and create visualizations to drive insights, working under senior guidance in a cross-functional team environment.
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Key Responsibilities
- Design and implement automation solutions to streamline data ingestion, processing, and analysis, leveraging tools like Python, SQL, and data pipelines
- Apply machine learning and statistical techniques to analyze complex manufacturing data, identify trends, predict outcomes, and optimize processes under the guidance of senior team members
- Develop interactive dashboards, reports, and visualizations to communicate insights and trends in manufacturing data, driving data-driven decision-making and process improvements
- Collaborate with cross-functional teams to integrate data science and AI initiatives
Requirements
- Currently on track to attaining a Bachelors in Computer Science, Data Science, Artificial Intelligence, or a related field
- Strong interest in artificial intelligence and machine learning
- Familiarity with programming languages such as Python, SQL, R, or Java
- Basic understanding of machine learning frameworks (e.g., TensorFlow, PyTorch), data preprocessing, feature engineering, and model evaluation is a plus
- Experience with data visualization tools (e.g., Tableau, Power BI, D3.js)
- Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy)
- Proficient in Microsoft Office Suite (Excel, PowerPoint, Word)
- Excellent analytical and problem-solving skills
- Strong communication and interpersonal skills