Data Science / AI Trainer

You'll transform complete beginners into job-ready analysts by teaching Python, SQL, Power BI, machine learning, and AI-augmented workflows.\nThis is more than teaching code, it's about developing professional analysts who think critically, communicate insights effectively, and use AI tools responsibly.\n\nYou'll deliver:\n\nAI Data Analyst Bootcamp - 5-week intensive covering Python, SQL, data visualization, statistics, ML, and BI tools\nMicrosoft Power BI & Azure AI Programme - Advanced BI dashboards, DAX, and Azure AI integration\nIf you're an experienced data professional who loves helping others break into tech, this role is for you.\n\nKey Responsibilities\n\nLead live 3-hour sessions (in-person or remote) with hands-on exercises and real-world case studies\nTeach technical concepts clearly to learners with zero prior experience\nShow students how to use AI tools (ChatGPT, Copilot, Power BI AI features) critically and responsibly\nReview and provide detailed feedback on weekly student projects\nGuide students through building professional portfolios (GitHub, Tableau Public, Power BI)\nMentor on job preparation, CV building, and interview skills\nEvaluate student work against professional standards (not just code correctness)\nProvide constructive, actionable feedback within 48 hours of submission\nTrack student progress and identify those needing additional support\nDeliver pre-designed curriculum with room to add your real-world examples\nCreate supplementary materials, case studies, and demos from your industry experience\nKeep content current with latest AI tools and industry best practices\nSuggest curriculum improvements based on student outcomes and feedback\n\nRequired Qualifications\n\n2-3 years in data/AI roles - any of: Data Analyst, Business Analyst, Data Engineer, BI Developer, Data Scientist, ML Engineer, or similar\n0-1 years formal teaching experience (teaching, training, mentoring, or public speaking - formal or informal counts!)\nHands-on experience with messy real-world data and business stakeholder communication\nPython: Comfortable with pandas, data manipulation, and basic visualization (matplotlib/seaborn)\nSQL: Can write queries with JOINs, GROUP BY, and aggregations\nPower BI: Proficient in building dashboards, data models, and basic DAX\nData cleaning: Real experience handling missing values, duplicates, and data quality issues\nAI tools: Active user of ChatGPT, Copilot, or similar tools in your current work\nComfortable presenting on camera and engaging remote learners\nStrong written communication for project feedback\n\nPreferred Qualifications\nNice to have, but not required:\n\nExperience with Tableau, Looker, or other BI tools\nKnowledge of Azure AI services (OpenAI, Cognitive Services)\nStatistics or machine learning background\nExperience teaching bootcamps, corporate training, or university courses\nMicrosoft certifications (Power BI PL-300, Azure AI, etc.)\nFamiliarity with scikit-learn, basic ML workflows\nIndustry-specific expertise (finance, healthcare, retail, logistics, etc.)\nExperience hiring or managing junior analysts\n\nWhat We Offer\n\nCompetitive compensation based on experience and commitment level\nFlexible schedule - sessions can be scheduled around your availability\nRemote-friendly - teach from anywhere with reliable internet\nProfessional development - access to latest tools, platforms, and training resources\nMeaningful impact - directly shape careers and change lives\nSupportive team - work alongside experienced educators and curriculum designers\nContent contribution - your real-world examples become part of our curriculum\n\nEqual Opportunity\n\nWe're committed to building a diverse and inclusive team. We encourage applications from all backgrounds and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, veteran status, or any protected characteristic.\n\nWe particularly welcome candidates who can bring diverse perspectives to data education and are committed to making tech careers accessible to underrepresented groups.