Data Science Trainer

We are looking for an experienced Data Science Trainer to deliver live, hands‑on training sessions for aspiring and early‑career professionals. The role involves mentoring learners through real‑world use cases, guiding projects, and ensuring practical industry alignment.

This is a contractual, remote engagement, ideal for professionals who enjoy teaching alongside their industry work.

• Conduct live online Data Science training sessions (3 sessions / week, 1–1.5 hours per session)
• Deliver practical, industry‑aligned training on:
  Python for Data Science, Statistics & Probability, Exploratory Data Analysis (EDA), Data Visualization (Matplotlib, Seaborn), Machine Learning (Supervised & Unsupervised), Model Evaluation & Optimization
• Guide learners through hands‑on projects and case studies
• Support learners during doubt‑resolution and interactive discussions
• Assist with resume, portfolio, and career guidance sessions
• Conduct mock interviews / technical evaluations when required
• Ensure session recordings and learning quality standards are maintained

• 4+ years of experience in Data Science / Analytics / ML
• Strong proficiency in Python, Pandas, Num Py, Scikit‑learn
• Solid understanding of statistics, ML algorithms, and data workflows
• Prior experience in training, mentoring, or teaching (preferred)
• Excellent communication and presentation skills
• Ability to explain complex concepts in a simple, practical manner
• Comfortable conducting live virtual sessions

• Experience with real‑world datasets or industry projects
• Exposure to SQL, Power BI, Tableau, or Cloud (AWS / GCP / Azure)
• Background in mentoring working professionals or fresh graduates

• Type:
  Contractual / Freelance
• Mode:
  Fully Remote
• Duration:
  As per cohort / program requirements
• Compensation:
  Competitive, per session / monthly basis (discussed during interview)

• Work with motivated, career‑focused learners
• Flexible remote engagement
• Opportunity to build trainer credibility and brand presence
• Long‑term collaboration opportunities based on performance