London International Studies and Research Center

About Us

London International Studies and Research Center, is a 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. Job 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, Models, Data Mining, and Algorithms. Also train on time series and forecasting, SQL, queries, Power BI & Tableau Data Visualization. · Develop Big Data/ 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 real-time projects for practical exposure. · Collaborate with trainers, SMEs, and curriculum developers to develop and refine courses. Job Requirements: · Minimum of 3-5 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 high-touch customer needs. · Ability to thrive in a fast-paced and constantly-changing environment. Job Type: Full time. Based in Dubai. Experience: · Training: 3 years (Preferred) Job Types: Full-time, Permanent Ability to commute/relocate: Dubai: Reliably commute or planning to relocate before starting work (Required) Experience: delivering data science training: 3 years (Required) Application Deadline: 22/01/2023