Data Science (Internship)

We are looking for Data Science Interns for a period of 6 months. These interns will be responsible for leveraging data mining techniques, statistical analysis, and ML models to build high quality prediction/classifier systems that will be integrated with our products

Job Details

Location: Gurugram         Seniority Level: Intern

Industry: Information Technology & Services,Financial Services, Management Consulting

Employment Type: Internship

Job Functions: Analytics

Skills Requirement: C#, Python, .NET, SQL, Data Structures, Data Analytics, Statistical Modeling, Mathematics, Machine Learning and R Programming

Job Requirements

  • Writing reusable, testable, and efficient code
  • Work with data science lead and project managers
  • Carry out testing, assessment and analysis
  • Ensuring step-by-step deliverables are met as part of product development
  • Ability to take up quick objectives and execute within a short period
  • Learn lots of concepts quickly and deploy outcomes
  • Stipend INR 10,000 per month
  • Working on live projects

Background Of The Candidate

  • 0-2 years of experience in a related space, technical field or projects
  • Good academic record in school, college and other educational pursuits
  • Good comprehension, language and writing skills
  • Data-oriented personality with problem solving attitude and research mindset
  • Hands – on experience with Python (preferred), R, or any other data science programming language
  • Understanding and hands-on experience of different machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Good applied statistics skills, such as statistical distributions, statistical testing, regression, significance value, confidence interval, statistical power, etc.
  • Comfortable or willing to work in Unix/Linux, AWS, Azure and similar cloud technologies
  • Good scripting and programming skills
  • Should be willing to work hard, work long hours, 6 days a week and learn multiple concepts within a short span of time

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