HiTalent

At IBM, we prioritize ongoing learning, development of technical and core skills, and investing in. As a Data Scientist Intern at IBM, you’ll help transform clients’ data into tangible business value by analyzing information, communicating outcomes, and collaborating on product development.. Using leading edge and open-source tools such as Python, R, and TensorFlow,. Basic understanding of statistical programming in a language such as R, Python, SAS,. Exposure to analytical software such as SAS, SPSS, or MATLAB

data scientist intern

﻿Your Role and Responsibilities During your 10-12 week summer internship, you’ll have an exciting opportunity to: • Join our IBM North America intern community and meet other IBMers during networking events, special team events and career development activities • Participate on a consulting project or initiative and experience first-hand how we help transform their business • Focus on our clients’ technical and business needs to co-create solutions that add value. • Work collaboratively to deliver innovative solutions for clients • Develop an understanding of our client’s future state goals and processes, then define the steps needed and leading technologies to help turn their goals into reality • Learn about a client’s industry, tackle new challenges, and learn about how their business and technology intersect At IBM, we prioritize ongoing learning, development of technical and core skills, and investing in your personal growth, all grounded in a culture of coaching and mentorship – you’ll get exposure to all that and more as an intern. As a Data Scientist Intern at IBM, you’ll help transform clients’ data into tangible business value by analyzing information, communicating outcomes, and collaborating on product development. In your role, you will be responsible for: • Implementing and validating predictive and prescriptive models, creating and maintaining statistical models with a focus on big data • Incorporating a variety of statistical and machine learning techniques • Writing programs to cleanse and integrate data in an efficient and reusable manner • Using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools • Working in an Agile, collaborative environment and partnering with other data scientists, engineers, and consultants to bring analytical rigor and statistical methods to the challenges of predicting behaviors • Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions • Evaluating modelling results and communicating the results to technical and non- technical audiencesRequired Technical and Professional Expertise • Familiarity with programming/scripting in a language such as Java or Python • Basic understanding of statistical programming in a language such as R, Python, SAS, or Scala • Exposure to analytical software such as SAS, SPSS, or MATLAB • Strong interpersonal skills with ability to collaborate and work effectively with individuals, strengthening relationships to achieve win-win solutions • Ability to look at things differently, debug, troubleshoot, design, and implement solutions to technical issuesPreferred Technical and Professional Expertise • Exposure to Cloud – AWS, Azure, Google Could or IBM Cloud • Exposure or interest in Design Thinking and Agile development methodology • Initiative to actively seek new knowledge and improve skills • A passion for innovative ideas, coupled with the ability to understand and assimilate<h3>J-18808-Ljbffr</h3>

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