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.