IBM Computing
Data Scientist Intern: 2025
IBM Computing, Durham, North Carolina, United States, 27703
IBM Data Scientist Intern: 2025 in Research Triangle Park, North Carolina
IntroductionAs a Data Scientist Intern at IBM, you will help transform our clients' data into tangible business value by analyzing information, communicating outcomes, and collaborating on product development. Work with best-in-class open source and visual tools, along with the most flexible and scalable deployment options. Whether it's investigating patient trends or weather patterns, you will work to solve real-world problems for the industries transforming how we live.Your Role and ResponsibilitiesAutomation:
Develop and maintain Python scripting solutions to automate data collection, processing, and analysis tasks, enhancing efficiency and accuracy.Data Science:
Collaborate with teams to construct usable data sets from various structured and unstructured sources, enabling data-driven decision-making.Software Development:
Contribute to software development projects, utilizing your strong fundamentals in computer science to design and implement solutions for complex technical challenges.Problem-Solving:
Approach technical issues creatively, employing debugging and troubleshooting skills to identify and resolve problems effectively.Communication:
Work collaboratively within a team, demonstrating excellent verbal and written communication skills to convey technical concepts and solutions clearly.Data Engineering:
Apply data engineering techniques to gather, prepare, cleanse, and transform data for analysis, automation, and AI.Data Modelling:
Apply a basic understanding or experience with predictive/prescriptive modelling techniques to derive insights from data.Agile Development:
Embrace Agile Development Methodologies and Design Thinking principles to drive innovation and streamline project delivery.Cloud Integration:
Develop a basic understanding of cloud platforms such as AWS, Azure, etc., and explore opportunities to leverage cloud services for analytics and data processing.Required Technical and Professional ExpertiseB.S./M.S. in Computer Science, Data Science, Math, Statistics, Engineering, or equivalent technical degree/experience.Strong technical and analytical abilities, a knack for driving impact and growth, and some experience with programming/scripting in a language such as Python or Java.Understanding of statistical programming in a language such as Python, R, or SAS.Demonstrate a growth mindset; current on technical growth in the data science space.Familiarity constructing usable data sets from multiple structured and unstructured data sources.Excellent verbal and written communication skills.Basic understanding or experience with predictive/prescriptive modeling skills.Interest in Design Thinking and Agile Development Methodologies.Basic understanding of Cloud (AWS, Azure, etc.).Preferred Technical and Professional ExpertiseB.S./M.S. in Computer Science, Data Science, Math, Statistics, Engineering, or equivalent technical degree/experience.About Business UnitIBM Systems helps IT leaders think differently about their infrastructure. IBM servers are no longer inanimate - they can understand, reason, and learn so our clients can innovate while avoiding IT issues. Our systems power the world's most important industries and our clients are the architects of the future.Your Life @ IBMIn a world where technology never stands still, we understand that dedication to our clients' success, innovation that matters, and trust and personal responsibility in all our relationships live in what we do as IBMers.Are you ready to be an IBMer?About IBMIBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason, and science, we can improve business, society, and the human condition.Location StatementSupplemental employees may be eligible for paid holidays, sick time, and the IBM Employee Stock Purchase Plan. IBM offers paid family medical leave and disability benefits to eligible employees where required by applicable law.Being You @ IBMIBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics.
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IntroductionAs a Data Scientist Intern at IBM, you will help transform our clients' data into tangible business value by analyzing information, communicating outcomes, and collaborating on product development. Work with best-in-class open source and visual tools, along with the most flexible and scalable deployment options. Whether it's investigating patient trends or weather patterns, you will work to solve real-world problems for the industries transforming how we live.Your Role and ResponsibilitiesAutomation:
Develop and maintain Python scripting solutions to automate data collection, processing, and analysis tasks, enhancing efficiency and accuracy.Data Science:
Collaborate with teams to construct usable data sets from various structured and unstructured sources, enabling data-driven decision-making.Software Development:
Contribute to software development projects, utilizing your strong fundamentals in computer science to design and implement solutions for complex technical challenges.Problem-Solving:
Approach technical issues creatively, employing debugging and troubleshooting skills to identify and resolve problems effectively.Communication:
Work collaboratively within a team, demonstrating excellent verbal and written communication skills to convey technical concepts and solutions clearly.Data Engineering:
Apply data engineering techniques to gather, prepare, cleanse, and transform data for analysis, automation, and AI.Data Modelling:
Apply a basic understanding or experience with predictive/prescriptive modelling techniques to derive insights from data.Agile Development:
Embrace Agile Development Methodologies and Design Thinking principles to drive innovation and streamline project delivery.Cloud Integration:
Develop a basic understanding of cloud platforms such as AWS, Azure, etc., and explore opportunities to leverage cloud services for analytics and data processing.Required Technical and Professional ExpertiseB.S./M.S. in Computer Science, Data Science, Math, Statistics, Engineering, or equivalent technical degree/experience.Strong technical and analytical abilities, a knack for driving impact and growth, and some experience with programming/scripting in a language such as Python or Java.Understanding of statistical programming in a language such as Python, R, or SAS.Demonstrate a growth mindset; current on technical growth in the data science space.Familiarity constructing usable data sets from multiple structured and unstructured data sources.Excellent verbal and written communication skills.Basic understanding or experience with predictive/prescriptive modeling skills.Interest in Design Thinking and Agile Development Methodologies.Basic understanding of Cloud (AWS, Azure, etc.).Preferred Technical and Professional ExpertiseB.S./M.S. in Computer Science, Data Science, Math, Statistics, Engineering, or equivalent technical degree/experience.About Business UnitIBM Systems helps IT leaders think differently about their infrastructure. IBM servers are no longer inanimate - they can understand, reason, and learn so our clients can innovate while avoiding IT issues. Our systems power the world's most important industries and our clients are the architects of the future.Your Life @ IBMIn a world where technology never stands still, we understand that dedication to our clients' success, innovation that matters, and trust and personal responsibility in all our relationships live in what we do as IBMers.Are you ready to be an IBMer?About IBMIBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason, and science, we can improve business, society, and the human condition.Location StatementSupplemental employees may be eligible for paid holidays, sick time, and the IBM Employee Stock Purchase Plan. IBM offers paid family medical leave and disability benefits to eligible employees where required by applicable law.Being You @ IBMIBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics.
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