DataScience Faculty

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.