Data Science PhD Intern — Research & Impact (Poland)

Google

Warszawa

On-site

PLN 163,000 - 221,000

Full time

14 days+
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Job summary

Google is offering a summer internship in Poland for PhD students in a penultimate or final year. The program requires full-time availability for at least 13 weeks during Summer 2027 (May–July).

You should be enrolled in a full-time PhD program located in the EMEA region and be based in Poland for the duration of the internship. Selected interns will join Google’s data science work across core engineering projects, performing rigorous research and quantitative modeling to inform business

Qualifications

  • Currently enrolled in a PhD program in statistics, biostatistics, computer science, mathematics, operations research, or a related technical field involving experimental design and quantitative analysis of experimental data, and in your penultimate year of study.
  • Experience working with datasets using Python, R, SAS, MATLAB, or other statistical software.
  • Experience with methods of statistical data analysis (e.g., linear models, hypothesis testing, multi-level models, Bayesian methods, etc.).

Responsibilities

  • Provide research on topics including Google's business model and search techniques.
  • Produce quantitative and qualitative modeling of business dynamics, user behavior, and more.
  • Identify areas for further investigation as well as creating innovative methods of analysis.

Skills

Python
R
SAS
MATLAB
Statistical analysis

Education

PhD program in statistics/biostatistics/CS/math/OR (penultimate year)
Penultimate year student

Tools

Python
R
SAS
MATLAB

Job description

Google is offering a summer internship in Poland for PhD students in a penultimate or final year. The program requires full-time availability for at least 13 weeks during Summer 2027 (May–July).

You should be enrolled in a full-time PhD program located in the EMEA region and be based in Poland for the duration of the internship. Selected interns will join Google’s data science work across core engineering projects, performing rigorous research and quantitative modeling to inform business

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