Напиши текст вакансии для должности "Intern Data Scientist". Название компании: "Grid Dynamics". Расположение: Санкт-Петербург. График работы: Полный день. Опыт работы: Нет опыта. Ключевые навыки: 'Python', 'Machine Learning', 'Aнглийский B2', 'Mathematics', 'Statistics', 'Optimization', 'Operations Research'

Grid Dynamics is a leading provider of engineering and consulting services to Fortune 500 corporations undergoing digital transformation and a pioneer of cloud computing, big data, and machine learning applications to enterprise workloads since 2006.Headquartered in Silicon Valley, with over 1,000 technologists located in engineering delivery centers in the USA, Serbia, Russia, Poland, and Ukraine, Grid Dynamics is known for architecting and delivering some of the largest digital transformation programs in retail, technology, and financial services.If you are looking for a challenging environment that supports you in your development with dedicated training hours you are in the right place. We are happy to announce our Internship Program in Data Science in Saint Petersburg!The best students will be hired by Grid Dynamics after the successful completion of Internship Program and further 3-months probation period. Duration of the Internship Program is 6 months. Advantages for you:  An opportunity to improve Data Science skills and get practical experience 1-to-1 mentoring during the internship Challenging tasks focused on gaining practical experience in the DS field  Requirements:  Solid mathematical background. Demonstrated ability to perform academic research (such as published scientific papers and PhD). Good knowledge in Mathematical Optimization, Machine Learning, Operations Research, Statistics. Demonstrated abilities in computer programming (such as using computer programming in research or working as a computer programmer). Ability to communicate in English in an international team. Excellent written English. Self-employment/entrepreneurial/startup experience is a plus.  Will be a plus:  Experience with cloud services: GCP/ Azure/ AWS. Especially valuable if ML-services were used. Proved experience in Python engineering Experience in Data Science pet/academic projects Experience of using Data Science tools and frameworks: Jupyther, scikit-learn, pandas, seaborn, pytorch Domain knowledge outside of computer science field What we offer:  Unique opportunity to join the global IT company Training and real projects tasks Highly experienced mentors Be paid while you learn Team building events