onsite
Data Science & Machine Learning Internship
Data Scientist
Join a fast‑paced internship focused on applying Python, NumPy and machine‑learning techniques to analyze and visualize IoT data, delivering actionable insights for real‑world projects.
About the role
Key Responsibilities
- Collect, clean, and preprocess sensor data from IoT devices for analysis.
- Develop and evaluate machine‑learning models using Python and NumPy to predict patterns and anomalies.
- Create interactive visualizations and dashboards to communicate findings to technical and non‑technical stakeholders.
- Collaborate with senior data scientists to integrate models into existing data pipelines.
- Document methodologies, code, and results to ensure reproducibility and knowledge sharing.
Requirements
- Currently pursuing a degree in Computer Science, Data Science, Electrical Engineering, or a related field.
- Proficiency in Python with hands‑on experience using NumPy and data‑visualization libraries (e.g., Matplotlib, Seaborn, Plotly).
- Fundamental understanding of machine‑learning concepts and algorithms.
- Experience or strong interest in working with IoT sensor data and time‑series analysis.
- Ability to communicate technical results clearly and work effectively in a collaborative team environment.
Skills
pythonnumpymachine learningdata analysis