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2025 Summer Digital Research & Development Internship at Unilever Laredo, TX

Laredo, Texas, US
УдалённаяРазработкаЗападная Европа

Обязанности

  • With guidance from a manager and team of functional experts, summer interns will manage one major summer project on their own in a digital R&D role
  • This project will address a major technical challenge and opportunity for one of Unilever’s major hair, skin cleansing, or skin care brands or businesses
  • Interns will carry out the project within teams of scientists that support regional or global Unilever business groups
  • Applying artificial intelligence tools to generate market insights that will guide our product development teams
  • Guiding 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
  • Generating new insights from consumer, clinical, and product application data to elucidate new approaches to delight our customers
  • In any project, interns will learn to apply data science and other digital approaches to the unique challenges of consumer product development spanning consumer preference, product development, and manufacturing
  • The work will involve both the application of digital approaches and storytelling to convey their value to the overall Unilever business
  • The work will have an appreciable on-site component that may extend into working in laboratory and pilot-plant facilities
  • Interns can expect to learn the specific programs or tools available needed to execute their research program
  • Interns will be given access to numerous data streams and develop ways of working to generate insights from the data
  • Interns will plan approaches, analyze their data using statistical and graphical tools, and generate predictive models
  • Interns will generate input and incorporate feedback from a cultivated network of technical experts within Unilever to enhance the delivery on their project
  • You’re a culture & change champion: You bring your own experiences and uniqueness to the team, which is valued in our inclusive work environment

Digital Interview -Upon successful completion of the assessment, you will be invited to participate in a digital interview where you can solve real-world problems using Unilever scenarios

Требования

  • You’re a born leader: You will lead your own project
  • You’re a dot connector: You will solicit the input of technical experts, apply digital tools to the design of experiments, generate insights from your data, and provide recommendations that meet business objectives
  • You’re a story teller: You will present your project to senior management
  • 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

All you need is a computer or mobile device with access to video recording (usually standard in most devices) and a stable internet connection

Навыки

Assessment -After your application, if you meet the basic requirements, we’ll invite you to participate in a series of fun games that looks at different cognitive, emotional, and social traits

Опубликовано: 15.01.2026