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

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