Company Description Metadapt is an AI-powered learning ecosystem dedicated to developing globally competitive, industry-ready talent through innovative, technology-driven education. By bridging the gap between academia and industry, Metadapt delivers programs in emerging technologies, including Artificial Intelligence, Data Science, Cybersecurity, and Robotics. The platform emphasizes a hands-on, application-oriented approach enriched with expert mentorship and real-world exposure. Partnering with academic institutions, corporates, NGOs, and government organizations, Metadapt enhances career readiness and expands access to advanced technical education. Through its comprehensive offerings, Metadapt equips learners with practical skills to thrive in a rapidly changing digital landscape. We are hiring experienced Data Science Trainers who can deliver in-person classroom training from our training centre. This role is strictly for candidates with prior training/teaching experience in Data Science. Key Responsibilities Conduct classroom-based Data Science training sessions Deliver practical, hands-on training using real-world datasets Prepare and update course materials, assignments, and projects Mentor students on capstone projects and case studies Evaluate student performance and provide continuous feedback Assist students with interview preparation and career guidance Ensure high-quality training delivery and student engagement Required Skills Strong expertise in: Python (NumPy, Pandas, Matplotlib, Seaborn) Statistics & Probability Machine Learning algorithms Data Cleaning & Exploratory Data Analysis (EDA) SQL / Database concepts Data Visualization (Tableau / Power BI) Deep Learning with Generative AI & Agentic AI Mandatory Requirement Proven training/teaching experience in Data Science (classroom or corporate training) Excellent communication and presentation skills Ability to simplify complex concepts for learners Must be available for offline classroom training from our centre Qualifications Proficiency in Data Science and related tools, including Python, R, SQL, and machine learning libraries Experience in key Data Science domains such as data analysis, statistical modeling, predictive analytics, and big data technologies Clear understanding of AI and machine learning concepts and their real-world applications Strong teaching, mentorship, and curriculum development skills Effective communication, presentation, and organizational abilities Experience working in industry-relevant roles or delivering application-oriented education Ability to engage students in interactive, project-based learning environment