Graduate Data Scientist Intern

About the job

Our client, a cutting-edge technology firm specializing in AI and data solutions, is looking for ambitious and bright Graduate Data Scientists to join their dynamic team as interns. This is an exceptional opportunity for recent graduates to gain hands-on experience in machine learning, data analysis, and model development within a challenging and innovative environment. You will work alongside experienced data scientists, contributing to real-world projects that drive business insights and product development. Responsibilities: - Assist in collecting, cleaning, and pre-processing large datasets from various sources. - Support the development and implementation of machine learning models for tasks such as classification, regression, clustering, and forecasting. - Perform exploratory data analysis (EDA) to identify trends, patterns, and insights within the data. - Collaborate with senior data scientists on model evaluation, validation, and performance tuning. - Contribute to the visualization of data and model results using tools like Matplotlib, Seaborn, or Tableau. - Assist in the documentation of data pipelines, models, and experimental results. - Participate in team meetings, brainstorming sessions, and code reviews. - Learn and apply new algorithms, techniques, and tools in the field of data science and machine learning. - Assist in preparing presentations and reports to communicate findings to technical and non-technical stakeholders. - Gain practical experience with programming languages such as Python or R, and relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). - Understand and apply principles of data ethics and privacy in all work performed. - Support the deployment and monitoring of machine learning models in production environments under supervision. - Help in identifying potential areas for data-driven improvements within the organization. - Engage in continuous learning to stay updated with the latest advancements in the field. - Contribute to building a knowledge-sharing culture within the data science team.

Requirements

• Python
• R
• data cleaning
• machine learning
• data analysis
• model development

Qualifications

• Bachelor's or Master's degree in Computer Science
• Statistics
• Mathematics
• Engineering
• closely related quantitative field

Preferred Technologies

• Python
• R
• data cleaning
• machine learning
• data analysis
• model development