Job Title

Role Overview We are seeking aData Science Faculty / Trainerwith a proven Hands on expertise inData Analyticsblend ofindustry execution (IT or service-based projects)andacademic delivery (EdTech or corporate training) . You will be responsible fordelivering end-to-end learning programs in Data Science, Machine Learning, AI, and Generative AI , while also integratingreal-world IT project experienceinto your sessions. The ideal candidate is both ahands-on practitioner and an educator— capable of mentoring learners, translating enterprise-grade solutions into simple concepts, and driving measurable learning outcomes.Key Responsibilities Deliver instructor-led sessions on: Python for Data Science Statistics & Probability Exploratory Data Analysis (EDA) Machine Learning (Supervised & Unsupervised) Deep Learning (ANN, CNN, RNN, LSTM) Natural Language Processing (NLP) SQL, Power BI, Tableau Cloud AI tools (AWS, Azure, GCP optional) Design and deliverinteractive sessionsonData Analytics concepts including Excel Analytics, SQL, Power BI, Tableau, Python (Pandas, NumPy), and Statistics. Conductlectures, workshops, and lab sessionsfor students or professionals across beginner to advanced levels. Customize training content based on audience profiles — working professionals, graduates, or corporate teams. Facilitatehands-on exercises, real-time projects, and case studiesto reinforce practical learning. Ensure high engagement through live problem-solving, Q&A, and feedback sessions.Required Skills and Competencies Demonstrate expertise in tools such asExcel (Advanced), Power BI, Tableau, SQL, Python, and Google Data Studio. Teach core concepts:Descriptive & Predictive Analytics, Data Cleaning, Data Transformation, and Visualization. Incorporate real-time dashboards, KPI tracking, and report automation into training modules. Stay updated onemerging analytics tools and AI-driven data platformsto continuously enhance the curriculum.Qualification Bachelor’s or Master’s Degree inComputer Science / Data Science / AI / Statistics / Mathematics / Engineering . Professional certifications (e.g., IBM Data Science, Google ML, AWS ML, or Coursera Specializations) are a plus.