Global Marketing Graduate AI & Data Intern

Job description

Essential Requirements: · For Data Science roles: Experience in Python and SQL, specifically for data wrangling, exploratory data analysis, and statistical modelling. Solid problem-solving skills and essential knowledge of probability and statistics. Foundational knowledge of statistical modelling techniques and methods (Decision Tree/Regression based methods etc.). · For Data Engineering roles: Experience with SQL, Python, relational databases, and JSON. Basic knowledge in data modelling. Exposure to distributed-processing methods. Exposure to Apache Spark is a plus. · For ML Engineering roles: Experience in Python, Java and/or C++. Basic knowledge of APIs, distributed processing methods, and introductory machine-learning concepts. · For MLOps roles: Experience with general-purpose programming languages (such as Python, C or Java), container engines (Docker or Podman), and Linux distributions (Ubuntu, CentOS, etc.). Exposure to any DevOps/MLOps tools, such as Jenkins, Azure Dev