Unilever · 3 days ago

2025 Summer Digital Research & Development Internship

United States

Internship, Full-time

Remote

Intern/New Grad

Start in 2025 Summer

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ConsumerFast-Moving Consumer Goods

Culture & Values

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Responsibilities

Manage one major summer project on their own in a digital R&D role.

Apply artificial intelligence tools to generate market insights that will guide our product development teams.

Guide strategic approaches to product quality issues in some of the largest consumer products in the world by modeling processing and formulation variables across numerous data streams.

Generate new insights from consumer, clinical, and product application data to elucidate new approaches to delight our customers.

Learn to apply data science and other digital approaches to the unique challenges of consumer product development spanning consumer preference, product development, and manufacturing.

Plan approaches, analyze their data using statistical and graphical tools, and generate predictive models.

Generate input and incorporate feedback from a cultivated network of technical experts within Unilever to enhance the delivery on their project.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Artificial IntelligenceData SciencePredictive ModelingStatistical AnalysisPythonRJuliaMachine LearningMS Office SuiteLinear RegressionRandom ForestsXGBoostLarge Language Models

Required

Undergraduate with sophomore or junior status majoring in statistics, computer science, data science, artificial intelligence or related.

Strong interest in the practical application of statistical and machine learning techniques to solve concrete problems in a dynamic business environment.

Familiarity with programming in Python, R, and/or Julia.

Coursework or project familiarity with predictive modeling techniques, e.g. linear regression, random forests, XGBoost.

Coursework or project familiarity with large language models.

Proficiency with the MS office suite, especially Excel and PowerPoint.

Proven willingness and ability to learn new technical skills.

Must have a minimum GPA of 3.0.

Ability to conduct an experimental program to generate relevant, high-quality data with subsequent data analysis and interpretation.

Able to work under pressure in order to meet project deadlines.

Ability to work with others, communicate effectively, and contribute to cross functional teams.

Willingness to relocate.