IBM Internship- Data Scientist

IBM Client Innovation Center Central & Eastern Europe (CEE) was established in 2012 by joining several centers in Europe. The Delivery Center is part of a global network of 80 similar centers and uses the best IBM methods of work, global processes and techniques. The center has achieved CMMI Level 5 (Capability Maturity Model Integration) and its mission is to provide customers with software solution customized to their global business needs.

The Data Scientist is the technical expert and advisor to clients, IBM sales teams and/or IBM Business Partners. As a Data Scientist you understand the client's business requirements, technical requirements and/or competitive landscape. You apply your business insights, build and maintain client relationships, incorporate hardware, software and services into client-valued solutions and ensure client readiness for the implementation of technical solutions. This is an opportunity to shape the future for both IBM and its clients. Start your journey now!

Required Professional and Technical Expertise :
• Bachelor’s degree in Computer Science or another field relevant to Data Science
• Experience working with Machine Learning, Optimization, Neural Networks and/or Artificial Intelligence
• Experience with a Data Science programming language such as Python or R
• Deep understanding of Statistics
• Fluent in English

Key Responsibilities:
• Run and statistically evaluate statistical models such as Machine Learning, Optimization, Neural Networks and Artificial Intelligence
• Partner with Scrum Masters, Product Owners, Solution architects and peer data scientist and development data engineers to create solutions to meet business and technical opportunities
• Understand and communicate technical advantages and tradeoffs between Data Models
• Explore and develop new technical skills and industry practices while absorbing professional knowledge quickly and using demonstrated interpersonal skills to be an effective ambassador for IBM Data Science and AI
• Use exceptional communication skills and with input from product management, development, and architecture thought leaders, work to deliver high quality end-to-end Solutions at Scale in response to the identified business requirements from our clients; ensure the results are statistically valid