Data Science Intern

Position Overview

Data Science Intern

machine learning

deep learning

Key Responsibilities

• Assist in collecting, cleaning, and preprocessing data for analysis.
• Design, implement, and evaluate machine learning and deep learning models to solve business challenges.
• Conduct exploratory data analysis (EDA) to uncover insights and trends.
• Develop and optimize predictive models using libraries such as Scikit-learn, TensorFlow, or PyTorch.
• Collaborate with the team to deploy machine learning solutions into production environments.
• Research and experiment with new algorithms and techniques to improve model accuracy and efficiency.
• Generate clear and concise reports and visualizations to communicate findings.
• Stay updated on the latest advancements in data science, machine learning, and AI.
  

Required Qualifications

• Currently pursuing or recently completed a degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• Strong understanding of machine learning concepts such as supervised and unsupervised learning, feature engineering, and model evaluation metrics.
• Basic knowledge of deep learning architectures like CNNs, RNNs, or transformers.
• Proficiency in programming languages such as Python or R.
• Familiarity with data science tools and frameworks like NumPy, Pandas, Matplotlib, and Seaborn.
• Understanding of databases and experience with SQL for data extraction.
  

Preferred Skills

• Experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch.
• Knowledge of cloud platforms like AWS, GCP, or Azure for machine learning workflows.
• Understanding of natural language processing (NLP) or computer vision techniques.
• Strong problem-solving skills and a passion for learning new technologies.
• Excellent communication skills and the ability to work in a collaborative environment.
  

What We Offer

• Hands-on experience in developing and deploying machine learning models.
• Mentorship from industry experts in data science and AI.
• Opportunity to work on impactful projects with real-world applications.
• A collaborative and inclusive workplace culture.
• Potential for a full-time position based on performance.