Data Science Trainer - Delhi, India - London International Studies and Research Center

London International Studies and Research Center
London International Studies and Research Center
Verified Company
Delhi, India

2 weeks ago

Deepika Kaur

Posted by:

Deepika Kaur

beBee Recuiter


Description
London International Studies and Research Center, is UK based, Dubai operated Online Education provider, offering several courses.

We are committed to provide high value education with top of the range content, at an affordable price, for each segment of our professional clientele.

We are looking for an enthusiastic and experienced
Data Science Trainer with a fresh outlook to join our company.


Responsibilities:


  • Train on Python, R Programming, Machine learning, Deep Learning, NLP, Computer Vision, Reinforcement Learning, Data wrangling, Integration with Big Data Hadoop, Scoop, Impala, Hive, Pig & Spark, Data Wrangling, Models, Data mining, and Algorithms. Also train on time series and forecasting, SQL, queries, PowerBI & Tableau Data Visualization.
  • Develop BigData/ Hadoop Technologies training content for Students, Working Professionals and Corporates
  • Work in small teams where each team member has a lot of ownership and each individual can make a big impact
  • Design and make the trainees develop mini or major realtime projects for practical exposure
  • Collaborate with trainers, SMEs, and curriculum developers to develop and refine courses.

Job Requirements:


  • Minimum of 35 years' experience delivering highly technical courses for our key personas (software developers, business analysts, data scientists).
  • Strong, practical data analysis and data science skills.
  • Ability to create interactive and engaging experiences for students by taking complex topics and making them accessible.
  • Answer technical questions with both knowledge and empathy.
  • Ability to tailor courses to meet hightouch customer needs.
  • Ability to thrive in a fastpaced and constantly changing environment.

Job Type:
Permanent


Experience:


  • Training: 3 years (preferred)

Schedule:

  • Day shift

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