DA / DS Trainer at KG Microcollege · Kochi (Cochin), Thrissur · 3 - 7 years · ₹5L - ₹10L / yr · Profitable · Posted 29 Aug 2024

DA DS Trainer JD:
Key Responsibilities:
Develop and deliver comprehensive training programs on data science topics, including machine learning, artificial intelligence, big data, data mining, and predictive analytics.
Create engaging and interactive training materials, including presentations, hands-on exercises, case studies, and assessments.
Conduct classroom, online, and one-on-one training sessions for students at different skill levels.
Evaluate students' performance and progress, providing feedback and support to help them improve.
Stay up-to-date with the latest trends and best practices in data science and incorporate them into training programs.
Collaborate with other trainers and industry experts to continuously improve training content and methodologies.
Assist in the development of training schedules and manage training logistics.
Provide mentorship and career guidance to students aspiring to build a career in data science.
Qualifications:
Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field; a Master’s degree is a plus.
Proven experience as a Data Science Trainer or a similar role.
In-depth knowledge of data science concepts and hands-on experience with tools like Python, R, TensorFlow, and Hadoop.
Excellent presentation and communication skills.
Strong organizational and time-management abilities.
Ability to simplify complex concepts and deliver them in an understandable manner.
Certification in Data Science (e.g., Microsoft Certified: Azure Data Scientist Associate) is preferred.
Preferred Skills:
Experience with LMS (Learning Management Systems) and e-learning platforms.
Strong analytical and problem-solving skills.
Ability to adapt training methods to different learning styles.
Passion for continuous learning and professional development.
Benefits:
Competitive salary and performance-based incentives.
Professional development opportunities.
Flexible working hours.
Collaborative and innovative work environment.

About KG Microcollege
About
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Data Science (SME)
FACE Prep is India’s leading employability and industry-aligned education company. For over 17 years, we have partnered with higher education institutions to bridge the gap between academia and industry.
● Worked with 2,000+ colleges and universities across India
● Trained 6+ million students across disciplines
● Market leaders in:
● Employability skills & placement readiness
● Industry-aligned academic papers(credit-bearing)
● Full-scale industry-aligned degree programs with universities
● Pan-India operations, headquartered in Coimbatore
● Young, energetic, mission-driven team
● Fast-growing organization with headcount expected to cross 1,000 employees in the next financial year
At FACE Prep, people are the platform on which outcomes are built.
Position: Data Science (SME)
Location: Coimbatore
Duration: Full-Time
Department: Training & Development
Experience: Minimum 2 Years
Role Description :
The Data Science Subject Matter Expert (SME) is a full-time, on-site role based in Coimbatore. The SME will design and deliver data science curricula, including lectures, hands-on labs, and project-based learning for students preparing for tech careers. Daily responsibilities include creating educational content, developing problem sets and case studies, mentoring learners on data analysis and model-building, and reviewing student work to provide constructive feedback. The SME will collaborate with other trainers and the product team to align content with current industry practices and hiring requirements. The role also involves analyzing learner performance data, refining teaching strategies, and occasionally contributing to workshops, bootcamps, and online learning materials.
Requirements:
• Strong foundation in Statistics and Data Science, with the ability to explain complex concepts clearly and practically.
• Hands-on experience in Data Analytics and Data Analysis, including working with real-world datasets and deriving actionable insights.
• Excellent Analytical Skills for problem-solving, designing assignments, and guiding learners through data-driven decision-making.
• Proficiency in common data science tools and languages (e.g., Python/R, SQL, data visualization tools such as Tableau/Power BI).
• Prior experience in teaching, mentoring, corporate training, or curriculum development is highly beneficial.
• Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, Data Science, or related discipline.
• Ability to communicate effectively with diverse learner groups and collaborate within a multidisciplinary team.
• Exposure to machine learning concepts, model evaluation, and deployment practices is a plus.
IMMEDIATE JOINERS REQUIRED






