JOB DESCRIPTION •

(AI) Data Scientist Intern

Infomina
Job Type:
Internship
Location:
KL Ecocity, Bangsar
 Key Responsibilities
  • Assist in data exploration and discovery analyses across multiple data sources under the guidance of senior team members
  • Support the design and execution of experiments with data, helping to build working prototypes to illustrate concepts and findings.
  • Contribute to improving and optimizing existing Python codebases, learning and applying best practices in software development
  • Gain exposure to big data technologies and assist in building components for scalable AI pipelines and algorithms
  • Support the development and experimentation of AI components on real-world data, contributing to the integration of ML/AI functionalities into our products.
  • Collaborate with team members to understand data requirements and contribute to developing use cases.
  • Learn and utilize Git for version control and Docker for containerization as part of the development workflow.
  • Actively participate in team meetings and learning sessions. 
Requirement
  • Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
  • Strong foundational understanding of machine learning, data mining, and statistical analysis concepts (academic projects acceptable).
  • Demonstrated enthusiasm for tackling analytical problems and translating them into practical steps
  • Solid programming skills in Python and familiarity with core data science libraries (e.g., Pandas, NumPy, Scikit-learn)
  • Familiarity with version control systems like Git; exposure to Docker is a plus.
  • Self-motivated, eager to learn, and resourceful in exploring tools and techniques for data manipulation, experimentation, and analysis.
  • Basic understanding of databases (SQL/NoSQL) and data transformation (ETL) concepts.
  • Good communication skills, with the ability to present findings and ask questions clearly.