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Skill Circle

DATA SCIENCE Trainer Hubballi

2-5 Years
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  • Posted 2 days ago
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Job Description

Company Description SkillCircle™ is a training organization focused on helping learners build careers in today's most in-demand digital skills. Through niche-focused communities and subnetworks, SkillCircle™ delivers mentorship-driven programs that emphasize practical learning, real-world exposure, and career outcomes beyond traditional job paths. The company has trained tens of thousands of students across India in Digital Marketing and Data Science, with a strong emphasis on financial independence and self-employment. Headquartered in Connaught Place, Delhi, India, SkillCircle™ has grown rapidly since 2014, offering both online and offline classes across 23 locations in India and abroad. As a pioneer in digital skill evolution, SkillCircle™ offers trainers the opportunity to shape the next generation of data professionals.

Role Description

SkillCircle is looking for a passionate and knowledgeable Data Science Trainer to mentor and guide students through their journey into the world of data science. The ideal candidate should have a strong foundation in Python, machine learning, data analytics, and the ability to simplify complex concepts for learners at various levels. 

Qualifications

  • Proficiency in Python, Pandas, NumPy, Scikit-learn, Tensorflow and Matplotlib/Seaborn.
  • Knowledge of Machine Learning algorithms and their real-world applications.
  • Understanding of statistics, data preprocessing, and EDA.
  • Excellent communication and presentation skills.
  • Ability to engage and inspire students from non-technical backgrounds. 

Eligibility Criteria:

  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
  • 2–5 years of experience in teaching/training or industry experience in data science roles.
  • Prior experience as a trainer or mentor is a plus.
  • Certifications in Data Science or Machine Learning (preferred but not mandatory). 

Perks and Benefits:

• Competitive salary + Incentives

• Flexible working hours

• Exposure to a large network of learners and tech professionals.

• Opportunity to work on live projects and build personal brand through content/webinars. 

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About Company

Job ID: 149167643