Internship – Data Scientist
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| Company Name | Systematic |
| Company Type | Private |
| Job Type | Internship |
| Salary Range | Market Competitive |
| Location | Aarhus, Central Denmark Region, Denmark |
| Qualifications | None / No Formal Education |
| Experience | No Experience / Fresh |
Job Overview
Systematic is offering an internship opportunity for a Data Scientist in Aarhus, Denmark. This role is ideal for individuals passionate about leveraging data to solve complex problems and contribute to critical decision-making processes within a leading software company. You will gain hands-on experience in various aspects of data science within real-world applications across defense, healthcare, and utilities sectors, contributing to software that makes a difference globally.
Company Overview
Systematic is Denmark’s largest privately owned software company, established in 1985. They develop IT solutions for managing complex data and supporting critical decisions in defense, healthcare, and utilities. With over 1 million daily users globally and customers in more than 50 countries, Systematic is known for delivering impactful software. Headquartered in Aarhus, Denmark, the company employs 1,100+ professionals across 13 international offices, and their solutions like SitaWare and Columna are used worldwide.
Quick Details
- Salary Range: Market Competitive
- Job Type: Internship
- Qualifications: None / Open to all applicants
- Experience: No Experience / Fresh
Key Responsibilities
- Assist in collecting, cleaning, and preprocessing large datasets.
- Support the development and implementation of machine learning models.
- Participate in data analysis and interpretation to extract actionable insights.
- Collaborate with senior data scientists on various projects.
- Contribute to visualizing data and communicating findings effectively.
- Learn and apply best practices in data science methodologies.
Requirements
- Currently pursuing or recently completed a degree in Computer Science, Data Science, Statistics, or a related field.
- Strong analytical and problem-solving skills.
- Familiarity with programming languages such as Python or R.
- Basic understanding of machine learning concepts and statistical methods.
- Ability to work independently and as part of a team.
- Excellent communication skills and eagerness to learn.
Benefits
- Gain practical, hands-on experience in a leading software company.
- Work on real-world projects that impact critical sectors globally.
- Receive mentorship and guidance from experienced data scientists.
- Opportunity to learn about complex data management and decision support systems.
- Exposure to a diverse, global company culture with international offices.
- Potential for future career opportunities within Systematic.