2027 Marketing Data Science Intern

Job Description

This role is for a Summer 2027 internship, expected to start on Monday, May 24th and end on Friday, August 13th. Candidates must be available for the full duration. At IBM, we believe technology shapes the world, and we are a catalyst for innovation and creativity. We are at the forefront of groundbreaking change, improving businesses, society, and the human condition. As a leader in Hybrid Cloud and AI, we are leading a worldwide digital transformation.

Our Performance Marketing team drives scalable and predictable revenue growth. We exist to generate demand for IBM's products and offerings, and to convert that demand into measurable pipeline and business impact. As part of our team, you'll be surrounded by bright minds and keen collaborators, always willing to help and be helped, as you apply passion to work that will compel our audience to choose IBM's products and services.

When you join IBM, you join a culture of openness, collaboration, and trust. You join a team of IBMers who are helping technology support a positive global transformation. Join us and experience a place where you can co-create your learning and opportunities, where teamwork and unique ideas are treasured, and where you can bring innovation to life.

As a Marketing Data Scientist & Data Analytics Intern, you'll work collaboratively on a project that addresses a strategic IBM Marketing business challenge. This is a highly visible intern program with leadership exposure throughout the summer. In addition to the project, the internship includes learning and networking opportunities.

This role supports our Performance Intelligence team, which is responsible for building intelligence that powers and orchestrates performance across tactics and buyer groups. As an intern, you may:

• Develop scalable analytical solutions that provide data-driven and optimization insights
• Work with large, complex data sets and extract knowledge or insights to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed
• Conduct end-to-end analysis that includes industry research, data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations

This role is based in New York City. We work in a hybrid environment, and this position will be required to come into the office at least three days per week.

IBM will not be providing Visa sponsorship for these positions now or in the future. To be considered, you must have the ability to work without a need for current or future Visa sponsorship. Individuals with temporary visas such as E, F-1 (including those with OPT or CPT), H-1, H-2, L-1, B, J or TN, or who need sponsorship for work authorization now or in the future, are not eligible for hire.

Qualifications

Required:

• Currently pursuing a graduate degree in a quantitative discipline (e.g., statistics, data science, computer science, behavioral science, applied mathematics, operations research) or another discipline involving experimental design and quantitative analysis of data
• Available for an internship in Summer 2027
• Completing your degree program between Fall 2027 and Summer 2028
• Experience using technology to work with datasets such as Scripting, Python, statistical software (SPSS, SAS, R, or similar)
• Experience with statistical analysis such as linear models, multivariate analysis, clustering, time series, mixed model, and Bayesian methods
• Data Visualization Tools (PowerBI, Tableau, etc.)
• Data warehousing and ETL
• Fluent in English; strong written and verbal communication skills

Preferred:

• Currently pursuing a PhD in a quantitative discipline (e.g., statistics, data science, computer science, behavioral science, applied mathematics, operations research) or another discipline involving experimental design and quantitative analysis of data
• Advanced knowledge and experience working with large data sets and applying data mining / predictive modeling techniques to extract meaningful insights
• Strong track record of developing intellectual capital such as published works
• Basic knowledge of marketing or related field
• Passion for advancements in Data Science and Predictive Analytics
• A strategic, consultative, data-driven mindset