Job Title:  T&T : Intern - Artificial Intelligence & Data

As an Intern, you will focus on Artificial Intelligence and Data related projects. This position offers valuable hands-on experience in a professional environment, where you will assist industry experts in delivering data-driven solutions to real-world business challenges.

Key Responsibilities:

• Collect, clean, transform, and validate data from multiple sources (structured and unstructured)
• Perform exploratory data analysis (EDA) to identify trends, anomalies, and actionable insights
• Support creation of dashboards/reports and data storytelling for stakeholders
• Assist with defining metrics, data quality checks, and basic data governance practices
• Document datasets, assumptions, and analysis steps for reproducibility
• Support development and testing of ML models (baseline models, feature engineering, model comparison)
• Assist in building GenAI prototypes for business use cases (e.g., summarization, Q&A, classification, copilots)
• Automation using low-code / no-code platforms such as Power Automate

Requirements:

• Currently pursuing or recently completed a degree in AI, Data Science, Computer Science, or a related field

Technical Skills:

• Basic understanding of data analysis concepts and statistics
• Familiarity with at least one programming language such as Python, R, or SQL
• Exposure to data manipulation and analysis libraries (e.g., pandas, NumPy) is an advantage
• Basic understanding of machine learning or AI concepts is preferred
• Familiarity with data visualization tools (e.g., Power BI, Tableau, or similar) is a plus
• Familiarity with Orchestration frameworks (e.g., LangChain, Langgraph)
• Foundational understanding of LLMs and GenAI concepts (tokens, context window, temperature, hallucinations, grounding)

Soft Skills:

• Strong analytical and problem-solving skills
• Interest in applying data-driven solutions to business problems
• Availability to work full-time during the internship period
• Excellent communication skills in English