Company Description Disciples Corporate School, part of Disciples India, focuses on bridging gaps between students attitudes, skills, and knowledge and the expectations of the corporate world. The organization offers targeted educational and training services to help learners build sustainable careers. It works extensively in functional and entry-level roles across the BFSI, IT, and ITES sectors. Programs are aligned with guidance from relevant Sector Skill Councils under NSDC and follow the principles of the National Education Policy 2020. This alignment ensures industry-relevant curricula and training standards for both learners and trainers.
Role Description The Part-Time Data Analytics & Data Science Trainer for CSR projects in Bengaluru will design and deliver classroom-based training sessions focused on foundational and intermediate concepts in data analytics and data science. Day-to-day responsibilities include preparing lesson plans, creating teaching materials, conducting lectures and practical labs, and guiding learners through hands-on projects and case studies. The trainer will assess learner progress through assignments, quizzes, and project evaluations, and provide constructive feedback and mentoring to support skill development. The role also involves collaborating with the CSR and academic coordination teams to align training content with project objectives and industry requirements. This is a full-time, on-site role based in Bengaluru, requiring regular presence at the designated training locations.
Qualifications
- Strong knowledge of data analytics fundamentals, including statistical analysis, data visualization, and interpreting business insights.
- Hands-on experience with data science concepts such as data preprocessing, basic machine learning techniques, and model evaluation.
- Proficiency with common data tools and technologies (e.g., Excel, SQL, Python/R for analytics, and visualization tools such as Power BI or Tableau).
- Demonstrated training, teaching, or corporate coaching experience, preferably with students or early-career professionals.
- Excellent communication, presentation, and classroom facilitation skills, with the ability to explain complex topics in simple terms.
- Ability to design structured lesson plans, training materials, and assessments aligned with defined learning outcomes.
- Strong mentoring and interpersonal skills, with sensitivity to diverse learner backgrounds in CSR-focused programs.
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related quantitative field.
- Previous exposure to BFSI, IT, or ITES domains, or familiarity with applied analytics in these sectors, is an advantage.
- Commitment to ethical training practices and enthusiasm for contributing to skill development and employability initiatives.
