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At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good.
Your impact
This description outlines the general responsibilities of the role. It is not an exhaustive list, and the intern may be asked to perform additional tasks related to the position under the supervision of their manager.
Our Data Science Internship Programme gives you the opportunity to gain hands‑on experience in a fast‑growing, high‑impact field. You’ll work with real datasets, modern analytical tools, and industry‑standard workflows that will give you a competitive edge and help launch your career with confidence. Throughout the programme, you’ll see how a data science team operates from exploratory analysis and feature engineering to model development and evaluation. You’ll also have the chance to observe how data insights support decision‑making across different business functions.
Responsibilities
Your application experience is important to us, and we’re keen to adapt to make every interaction even better. If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact the team via Careers Support.
Your impact
This description outlines the general responsibilities of the role. It is not an exhaustive list, and the intern may be asked to perform additional tasks related to the position under the supervision of their manager.
Our Data Science Internship Programme gives you the opportunity to gain hands‑on experience in a fast‑growing, high‑impact field. You’ll work with real datasets, modern analytical tools, and industry‑standard workflows that will give you a competitive edge and help launch your career with confidence. Throughout the programme, you’ll see how a data science team operates from exploratory analysis and feature engineering to model development and evaluation. You’ll also have the chance to observe how data insights support decision‑making across different business functions.
Responsibilities
- Assist in collecting, cleaning, and preparing structured and unstructured data for analysis.
- Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Support the development, testing, and evaluation of machine learning models and statistical techniques.
- Build data visualizations and dashboards to communicate insights to technical and non-technical stakeholders.
- Collaborate with data scientists, analysts, and engineers on ongoing projects.
- Document methodologies, processes, and findings in a clear and organized manner.
- Contribute to continuous improvement of data processes and analytical frameworks
- Student or recent graduate in Data Science, IT, Engineering, Business Analytics, Statistics, or related fields
- Basic understanding of Agile or Scrum methodologies
- Strong communication and organisational skills
- Ability to collaborate effectively within cross‑functional teams
- Good command of English, both written and spoken
- Interest in AI, data analytics, and digital transformation
- Curiosity, adaptability, and a willingness to learn in a fast‑paced environment
Your application experience is important to us, and we’re keen to adapt to make every interaction even better. If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact the team via Careers Support.
Key Skills
Ranked by relevance
machine learning
data analysis
scrum
ai
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- Posted
- Mar 31, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Cracow
- Company
- Jacobs
Industries
Business Consulting
Services
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
View Job Details
Related
Scrum Master
2026-03-25
Full-time
Not Applicable
Poland
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View Job Details
Related
ML Engineer
2026-04-09
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View Job Details
Related
ML Engineer
2026-04-09
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