Assist in the collection, cleaning, and preprocessing of large datasets from various sources.
Conduct exploratory data analysis to identify trends, patterns, and anomalies.
Develop and implement basic machine learning models and algorithms under the guidance of senior data scientists.
Create data visualizations and reports to communicate findings to both technical and non-technical stakeholders.
Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
Participate in team meetings, brainstorming sessions, and continuous learning activities.

Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
Basic understanding of data science principles and machine learning concepts.
Proficiency in programming languages such as Python.
Familiarity with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow) is a plus.
Strong analytical and problem-solving skills, with the ability to work with large and complex datasets.
Excellent communication and presentation skills, with the ability to convey complex concepts to diverse audiences.
Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
Ability to work collaboratively in a team environment and manage multiple tasks simultaneously.

Data Science Intern

Key skills