Intern Data Science Team (Finance)

, Poland

Job Family Group:

Internship

Worker Type:

Interns (Fixed Term) (Trainee)

Posting Start Date:

April 9, 2026

Business Unit:

Finance

Experience Level:

Experienced Professionals

The annual base salary range for this position:

zł58,800.00 - zł87,600.00

Individual pay will be based on various factors such as relevant work experience, education, certifications, skill level, seniority, and internal equity.

Job Description:

Shell Summer Internship Program (SIP 2026)

Location: Kraków, Poland (Hybrid – 3 days/week in the office)

Duration: July–September 2026

Role Overview

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.

Purpose of the Role

· Support the Data Science team in the design, execution, and documentation of analytics projects.

· Assist with data preparation, exploratory analysis, and basic modeling tasks under supervision.

· Learn how analytics solutions are translated into business-relevant insights and operational improvements.

· Gain exposure to enterprise data, tools, and governance practices used in a large corporate environment.

Key Responsibilities

· Support ongoing analytics and data science projects by:

o Cleaning, transforming, and validating datasets

o Performing exploratory data analysis and basic statistical analysis

o Assisting with the development and testing of models or analytical logic

· Work closely with data scientists, finance SMEs, and technology partners to understand business problems and analytics goals.

· Help create clear documentation, visualizations, and simple dashboards to communicate findings.

· Participate in agile ceremonies (stand-ups, sprint reviews) and learn agile ways of working.

· Proactively learn new tools, techniques, and business processes relevant to the team’s work.

Required Skills & Competencies (Intern Level)

Analytical & Technical Skills

· 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)

Business & Soft Skills

· 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.

Exposure Areas (Learning Opportunities)

The intern may gain exposure to one or more of the following domains, depending on project needs:

· Finance analytics

· Generative AI

· Model monitoring

· Anomaly detection

Learning Challenges

· Rapid onboarding onto new projects and datasets that may be incomplete or ill-defined.

· Translating analytical outputs into plain-English insights for non-technical stakeholders.

· Balancing learning objectives with project timelines and deliverables.

Education & Experience

· 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.

What Success Looks Like

· Actively contributes to team deliverables while building technical and business understanding.

· Demonstrates continuous learning and increasing independence over the internship period.

· Communicates clearly, asks thoughtful questions, and collaborates effectively with team members.

This role is designed as a developmental opportunity, and expectations will be aligned to an intern-level position with strong mentoring and support from the Data Science team.

What we offer

• Internship at Shell’s largest technical hub in Europe

• Salary: 4,900 PLN gross/month (fixed amount)

• Internship agreement - umowa o praktyki absolwenckie

• 5 days of paid leave

• Access to LinkedIn Learning during the full internship

• Meals subsidy in our canteen at Shell Energy Campus

• Opportunity to work with global reservoir engineering professionals and gain real industry experience

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DISCLAIMER:

Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Shell/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell is an Equal Opportunity Employer.