Data Science Intern (Full-time)

As a Data Science Intern, you’ll join the Au OpsTech team and will be working on refactoring our forecasting engine. In this role you will work closely with our forecast analysts and software engineering squads to de-couple and refactor forecasting models into its standalone pluggable modules.

You will...

• Work in a cross-functional team typically consists of a product owner, 4-6 software engineers, and a quality automation engineer.
• Use agile methodologies, DevOps and continuous delivery practices to deliver incremental and continuous business value.
• De-couple forecasting model into its standalone pluggable Python module, refactor logic to use data frames and matrices.
• Write unit test cases and E2E test suits, create test input and output datasets, and automate the testing of forecasting models.
• Continuously improve your craft by applying various software engineering best practices and continuous improvement methodologies.

currently partly working from home

• Strong hands-on programming experience using Python, Pandas, NumPy, etc.
• Good understanding of software design patterns and test-driven development.
• Familiarity with Python ORMs: Django, SqlAlchemy, PeeWee.
• Build and Deploy forecasting models using Jupyter Notebooks.
• You know how to create reusable Python modules and packages.
• Basic understanding and knowledge in REST APIs, API security patterns, GraphQL, etc.
• Have used one or more database technologies - Postgres, Redis, MangoDB, etc.
• Any knowledge of DevOps and AWS services is highly desirable particularly Terraform.