Role Overview
We are seeking a Data Science Faculty / Trainer with a proven Hands on expertise in Data Analytics blend of industry execution (IT or service-based projects) and academic delivery (EdTech or corporate training).
You will be responsible for delivering end-to-end learning programs in Data Science, Machine Learning, AI, and Generative AI, while also integrating real-world IT project experience into your sessions.
The ideal candidate is both a hands-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 deliver interactive sessions on Data Analytics concepts including Excel Analytics, SQL, Power BI, Tableau, Python (Pandas, NumPy), and Statistics.
- Conduct lectures, workshops, and lab sessions for students or professionals across beginner to advanced levels.
- Customize training content based on audience profiles — working professionals, graduates, or corporate teams.
- Facilitate hands-on exercises, real-time projects, and case studies to reinforce practical learning.
- Ensure high engagement through live problem-solving, Q&A, and feedback sessions.
Required Skills and Competencies
Demonstrate expertise in tools such as Excel (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 on emerging analytics tools and AI-driven data platforms to continuously enhance the curriculum.Qualification
Bachelor’s or Master’s Degree in Computer Science / Data Science / AI / Statistics / Mathematics / Engineering.Professional certifications (e.g., IBM Data Science, Google ML, AWS ML, or Coursera Specializations) are a plus.