Job Description
Job Description Learning Saint is hiring an experienced Part-Time Data Science Trainer to deliver live, instructor-led online training to learners from technical and non-technical backgrounds. This role is ideal for professionals with strong hands-on Data Science experience who are comfortable teaching applied concepts in a structured, academic environment. Key Responsibilities β’ Deliver live online training sessions in Data Science and related technologies β’ Teach core concepts using practical, real-world examples and datasets β’ Guide learners through hands-on exercises, projects, and assignments β’ Conduct doubt-clearing and revision sessions β’ Support learners with capstone projects and applied problem-solving β’ Maintain course quality, curriculum standards, and session discipline β’ Collaborate with the academic team for assessments and learner progress Required Skills & Qualifications β’ Strong hands-on experience in Python and SQL β’ Solid understanding of Statistics, Probability, and Linear Algebra β’ Experience with Data Analysis, Data Visualization, and Exploratory Data Analysis (EDA) β’ Working knowledge of Machine Learning algorithms (Supervised & Unsupervised) β’ Experience using libraries such as Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn β’ Ability to explain technical concepts clearly to diverse learners β’ Prior teaching, mentoring, or corporate training experience preferred Preferred Qualifications β’ Experience working on real-world Data Science or Analytics projects β’ Exposure to tools such as Power BI, Tableau, or Excel (advanced) β’ Experience with Git/GitHub and project-based learning β’ Industry or academic certifications in Data Science or Analytics (optional) Who Should Apply β’ Working professionals with industry Data Science experience β’ Trainers, instructors, or mentors with live teaching exposure β’ Candidates comfortable conducting live online sessions β’ Individuals committed to learner success and academic quality Work Details β’ Mode: Remote (Online) β’ Type: Part-Time / Contract β’ Schedule: Flexible (as per assigned batches) Application Process Interested candidates may apply by submitting their resume. β’ Shortlisted candidates will be contacted for an interview and demo session. Apply tot his job