Introduction
Uncover and transform insights into creative experiences that matter to your customers. Make every touchpoint an opportunity to engage. As a Marketing Professional at IBM, you will create stories that cut through noise and have an impact on your audience. IBM is trailblazing the Agile Marketing approach, allowing you to work with speed, adaptability and creativity to uncover insights and deliver experiences that matter to your customers.
Your Role and Responsibilities
Start and end dates for this internship are during Summer 2025.
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 the charge in a worldwide digital transformation.
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Our Marketing, Communications & Corporate Social Responsibility (MCC) team tells this story and is responsible for positioning IBM in the market. We define and optimize IBM's brand, capture the market's attention, and articulate our point of view for clients, partners, the media, and even other IBMers. 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. So join us and experience a place where you can co-create your learning and opportunities. A place where teamwork and unique ideas are treasured. A place where you can bring innovation to life.
As a Sr. Marketing Data Scientist & Data Analytics Intern, you'll work collaboratively, as part of a team, 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 Research Triangle Park, NC (Raleigh-Durham).
IBM will not be providing Visa sponsorship for these positions now or in the future. Therefore, to be considered for this position, you must have the ability to work without a need for current or future Visa sponsorship.
Required Technical and Professional Expertise
- 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 2025
- Completing your degree program between Fall 2025 and Summer 2026
- 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 ETFL
- Fluent in English; strong written and verbal communication skills
Preferred Technical and Professional Expertise
- 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