How do I apply for the Intern Data Science Team (Finance) position at Shell and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

Is the internship at Shell paid and what compensation can candidates expect?

Yes, this is a paid internship opportunity. Exact compensation details are typically finalized during the company interview process.

What are the working arrangements and expected duration for the Intern Data Science Team (Finance) role?

This position is a full-time, structured as a hybrid role.

What educational background or degree level is required for the Intern Data Science Team (Finance) at Shell?

Candidates are generally expected to be holding or pursuing the following degree levels: Bachelor, Master, PhD.

Does Shell provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Intern Data Science Team (Finance)

Shell

Found 1 week ago

Location

Kraków, Poland

Time

Full-time

Work Mode

Hybrid

Salary

zł58,800.00 - zł87,600.00

Visa Help

Not disclosed

Last Verified

1 week ago

Education

Bachelor
Master
PhD

Skills & Qualifications

Technical Skills

Python
R
pandas
numpy
matplotlib
Power BI
Tableau
Alteryx

Soft Skills

Strong numerical and logical reasoning skills
Ability to communicate findings clearly
ask the right questions
Curiosity
eagerness to learn new business processes and technologies
Good interpersonal skills
ability to work in a virtual, global team

Job Description

The Data Science Intern will join the Finance & Data Operations Data Science Team and support the delivery of data-driven insights and analytics solutions for business teams within Shell. This is a learning-focused role designed to provide hands-on exposure to real-world analytics projects, tools, and ways of working, while being guided by experienced data scientists. The intern will work as part of a global team spanning onshore and offshore locations and will contribute to analytics initiatives supporting finance and operations processes.

Requirements

Foundational understanding of statistics and data analysis concepts.
Basic programming knowledge in Python or R (academic or project experience is sufficient).
Familiarity with data analysis libraries/tools (e.g., pandas, numpy, matplotlib, or equivalents) is an advantage.
Willingness to learn additional tools such as: o BI and visualization tools (Power BI, Tableau) o Process analytics or automation tools (e.g., Alteryx)
Strong numerical and logical reasoning skills.
Ability to communicate findings clearly and ask the right questions.
Curiosity and eagerness to learn new business processes and technologies.
Good interpersonal skills and ability to work in a virtual, global team.
Currently pursuing or recently completed a degree in a quantitative discipline (e.g., Data Science, Statistics, Mathematics, Engineering, Economics, Computer Science).
Demonstrated interest in data analytics or data science through coursework, projects, or internships.
Prior industry experience is not required.

AI & Machine Learning

Applied Machine Learning

Languages

English

Nice to Haves

familiarity with data analysis libraries/tools (e.g., pandas, numpy, matplotlib, or equivalents)
BI and visualization tools (Power BI, Tableau)
Process analytics or automation tools (e.g., Alteryx)

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