Data Science / Analytics Trainer / Faculty

Role Overview

We are seeking a passionate and industry-experienced Data Science / Analytics Trainer who can deliver practical, job-oriented training and mentor students to become industry-ready professionals. The ideal candidate should have strong expertise in data analysis, machine learning, and AI tools, along with the ability to simplify complex concepts.

Key Responsibilities

• Deliver interactive classroom and practical training sessions on Data Science & Analytics
• Teach tools and technologies such as:
• Python for Data Analysis
• SQL & Databases
• Excel & Advanced Excel
• Power BI / Tableau
• Machine Learning fundamentals
• Integrate AI tools (ChatGPT, AutoML, etc.) into teaching workflows
• Design and guide real-world projects & case studies
• Support students in portfolio development (GitHub, dashboards, case studies)
• Conduct assignments, assessments, and doubt-solving sessions
• Provide career guidance, interview preparation, and resume support
• Track student performance and ensure learning outcomes
• Collaborate with academic team for curriculum updates (industry-aligned)

Required Skills & Expertise

Technical Skills:

• Strong knowledge of Python (Pandas, NumPy, Matplotlib, Seaborn)
• Experience with SQL (Joins, Queries, Data Extraction)
• Proficiency in Excel (Advanced formulas, Pivot Tables, Dashboards)
• Hands-on experience with Power BI or Tableau
• Understanding of Machine Learning concepts (Regression, Classification, Clustering)
• Familiarity with AI tools & workflows

Soft Skills:

• Excellent communication & explanation ability
• Strong mentoring and problem-solving mindset
• Ability to teach in simple, practical, and structured manner
• Student engagement and classroom management skills

Qualifications

• Bachelors/Masters degree in:
• Data Science / Computer Science / IT / Statistics / Mathematics
• Relevant certifications in Data Science / Analytics (preferred)

Experience Required

• 13+ years experience in:
• Data Science / Data Analytics role OR
• Teaching / Training in Data Science

What We Offer

• Opportunity to work with a future-focused AI-integrated institute
• Exposure to modern tools, real projects, and industry curriculum
• Collaborative and growth-driven environment
• Opportunity to impact student careers and placements
• Performance-based growth opportunities

Key Performance Indicators (KPIs)

• Student satisfaction & feedback ratings
• Student project quality & completion rate
• Placement readiness of students
• Batch performance & completion
• Engagement & retention rate

Job Type & Location

• Job Type: Full-time
• Location: On-site