Data Science Intern - Summer 2025 with Mentorship

IPG DXTRA

Washington (District of Columbia)

Vor Ort

USD 30.000 - 42.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Hands-on experience working on real-world projects
Mentorship from experienced data scientists
Networking opportunities
Potential for future full-time employment

Zusammenfassung

Weber Shandwick in Washington is offering a Data Science Intern position for Summer 2025. This internship aims to provide hands-on experience in developing data-driven solutions, leveraging insights for impactful campaigns.

Interns will collaborate with experienced data scientists, gaining mentorship and the opportunity to work on real-world projects. Ideal candidates are pursuing relevant degrees and have programming skills in Python or R.

Qualifikationen

  • Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Sociology or related field.
  • Strong programming skills in Python, R, or Java.
  • Familiarity with data manipulation and analysis libraries such as Pandas, NumPy, and SciPy.

Aufgaben

  • Assist in collecting, cleaning, and analyzing data from various sources.
  • Collaborate with cross-functional teams to translate business requirements into actionable insights.
  • Support the development and implementation of machine learning models.

Kenntnisse

Python
R
Java
Data manipulation
Statistical analysis
Machine learning
Natural language processing
Analytical skills
Problem-solving
Strong communication

Ausbildung

Bachelor's or Master's degree in Data Science or related field

Tools

Pandas
NumPy
SciPy

Jobbeschreibung

Weber Shandwick in Washington is offering a Data Science Intern position for Summer 2025. This internship aims to provide hands-on experience in developing data-driven solutions, leveraging insights for impactful campaigns.

Interns will collaborate with experienced data scientists, gaining mentorship and the opportunity to work on real-world projects. Ideal candidates are pursuing relevant degrees and have programming skills in Python or R.

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