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Internship

Data Science Intern (Summer 2024)

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Weber Shandwick

20d ago

🚀 Summer Internship

Washington, DC

AI generated summary

  • You need a Bachelor's or Master's in Data Science or related field, strong programming skills in Python or R, knowledge of data manipulation libraries, basic machine learning understanding, statistical expertise, problem-solving skills, and ability to work well in a team or independently.
  • You will collect, clean, analyze data, develop insights, build machine learning models, optimize marketing strategies, utilize NLP, perform network analysis, and stay current on data science trends.

Summer Internship

DataWashington, DC

Description

  • Weber Shandwick, a global communications firm, is seeking a talented Data Science Intern to join our innovative team for Summer 2024. As a leader in the communications industry, Weber Shandwick is dedicated to leveraging data-driven insights to create impactful campaigns and drive business results. The selected intern will have the opportunity to work alongside experienced data scientists in our dynamic data science department, contributing to the development of cutting-edge technology solutions that further advance our position as an industry leader. 
  • As an intern, you will have the opportunity to work alongside experienced data scientists, analyst, strategists, communication experts and client experience professionals and gain hands-on experience in building data-driven solutions for our clients. This position is ideal for individuals who are passionate about data science, marketing, and communication technologies.  
  • As an intern, you will have the opportunity to work alongside experienced data scientists and gain hands-on experience in building data-driven solutions for our clients. This position is ideal for individuals who are passionate about data science, marketing, and communication technologies.  

Requirements

  • Currently pursuing a Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Sociology or related field
  • Strong programming skills in languages such as Python, R, or Java
  • Familiarity with data manipulation and analysis libraries such as Pandas, NumPy, and SciPy
  • Basic understanding of machine learning techniques and algorithms
  • Good understanding of statistics and probability
  • Excellent analytical and problem-solving skills
  • Strong communication and collaboration skills
  • Ability to work independently and in a team environment

Education requirements

Currently Studying
Bachelors
Masters

Area of Responsibilities

Data

Responsibilities

  • Assist in collecting, cleaning, and analyzing data from various sources to support the development of data-driven solutions
  • Collaborate with cross-functional teams to translate business requirements into actionable insights and data-driven strategies
  • Support the development and implementation of machine learning models and algorithms
  • Assist in building data pipelines and infrastructure for data processing and analysis
  • Work on statistical models to evaluate marketing effectiveness and optimize resource allocation across various channels
  • Utilize natural language processing techniques to uncover nuanced insights on trends and audience sentiments from textual data sources such as social media, customer feedback, and market reports
  • Conduct network analysis to understand social media dynamics, identify key influencers, and inform communication approaches for targeted audience engagement
  • Stay updated on the latest trends and advancements in data science and machine learning to contribute innovative ideas and approaches to projects

Details

Work type

Full time

Work mode

office

Location

Washington, DC

Benefits

  • Support: As you navigate a hybrid workplace, you’ll have regular check-ins, calls and touchpoints with your teams and the whole office to feel connected
  • Mentor: You’ll be paired with someone in the office to mentor you and help you navigate the waters
  • Learning and development: Keep sharp and learn all the new skills with access to trainings and tutorials through complimentary access to LinkedIn Learning as a WS employee
  • A possible career: Internships have the possibility of growing into a full-time position
  • A paycheck! Interns are paid hourly, at 40-hours per week