Assist in data collection, cleaning, and preprocessing to ensure data quality and integrity.

Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights.

Develop and implement machine learning models to solve specific business problems.

Collaborate with cross-functional teams to understand project requirements and deliver data-driven solutions.

Visualize data using tools as suitable depends on data to communicate findings effectively.

Document and present results to team members and stakeholders.

Stay up-to-date with the latest trends and technologies in data science and machine learning.

Basic knowledge on database and SQL queries.

Basic knowledge on data analytics.

Have knowledge on programming languages such as Python or R.

Excellent communication and teamwork skills.

Ability to work independently and manage multiple tasks.

Currently pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

Hands-on experience working on real-world data science projects.

Mentorship and guidance from experienced data scientists and professionals.

Opportunity to learn and grow in a collaborative and supportive environment.

Potential for future employment opportunities based on performance.