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.
Key Responsibilities
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
Required Skills & Qualifications
4+ years of experience in Data Science / Analytics / ML Strong proficiency in Python, Pandas, NumPy, 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
Nice to Have
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
Contract Details
Type: Contractual / Freelance Mode: Fully Remote Duration: As per cohort / program requirements Compensation: Competitive, per session / monthly basis (discussed during interview)
Why Join Us
Work with motivated, career-focused learners Flexible remote engagement Opportunity to build trainer credibility and brand presence Long-term collaboration opportunities based on performance Seniority Level Mid-Senior level Industry Staffing and Recruiting Employment Type Part-time Job Functions Training Skills Machine Learning Python (Programming Language) Data Science Analytics Presentations Probability Scikit-Learn Statistics Training Presentation
