Auf einen Blick
- Aufgaben: Join our Data Science team to model the European power markets and analyze market behavior.
- Arbeitgeber: ICIS optimizes global resources, providing data and intelligence for strategic, sustainable decisions.
- Mitarbeitervorteile: Enjoy flexible hours, fair pay, free snacks, and a vibrant work environment.
- Warum dieser Job: Gain hands-on experience in electricity markets while working with a dynamic team from Day 1.
- Gewünschte Qualifikationen: Must have programming skills in Python or MATLAB and a keen interest in market analysis.
- Andere Informationen: Opportunity to write a master thesis in collaboration with Karlsruhe Institute of Technology.
Student Data Scientist (m/f/d)
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Location: Karlsruhe
Time Type: Full time
Posted on: 10 Days Ago
Position: Internship – Modeling European Electricity Markets
Languages: German and English
About the Business
At ICIS, our mission is to optimize the world’s resources. We help companies make strategic, sustainable decisions by bringing transparency to markets across the world. We create a comprehensive view of commodities markets, providing companies with the data and intelligence to successfully navigate across global value chains every day. Our customers benefit from instant access to price assessments, reports and forecasts, a dedicated news channel and supply and demand data. You can learn more about ICIS at the link below.
About the Role
For our fast-growing business in new markets, commodities and services, we are currently looking for a smart, analytically skilled and communicative individual to join our Data Science team in Karlsruhe.
As a Student Data Scientist at ICIS, you will be involved in a development project, modelling the European power markets and contribute significantly to our products. This will give you the opportunity to dive into the functioning of the electricity market, apply your knowledge in practice, and open new fields of expertise.
For those interested in writing a master thesis:
The master thesis will be written at the Karlsruhe Institute of Technology (KIT) in collaboration with the IISM chair. It requires a prior internship of at least three months at ICIS, where you will get the opportunity to familiarize with the model, deepen your skills, and to define your master topic in more detail for a successful thesis.
Main responsibilities:
- Modelling of the European electricity market
- Obtaining in-depth knowledge of the European electricity market
- Supporting the data science team in analysing and developing automated data routine
- Analysing input data and model results and make suggestions for improvement
Key skills:
- Interest in electricity markets, market analysis and forecasting
- High level of interest in learning new modelling techniques
- Analytical mindset, critical thinking, and high engagement
- Good communication skills in German and English
- Experience in programming in e.g. Python, MATLAB, etc.
We offer:
- A vibrant environment working alongside a young dynamic and motivated team
- Insights into the European power market and modelling techniques
- Active involvement and responsibility from Day 1
- Fair remuneration for students
- Flexible working hours
- Free snacks, fruits and drinks
Interested?
Then please apply with your application documents (short cover letter, resume, current transcript of records)
At LexisNexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new products for our global customers. We have 30 diversity employee networks globally and prioritize inclusive leadership and equitable processes as part of our culture. Our aim is for every employee to be the best version of themselves. We would actively welcome applications from candidates of diverse backgrounds and underrepresented groups.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know.
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Student Data Scientist (m/f/d) Arbeitgeber: LexisNexis Risk Solutions

Kontaktperson:
LexisNexis Risk Solutions HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Student Data Scientist (m/f/d)
✨Tip Number 1
Familiarize yourself with the European electricity market and current trends. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Brush up on your programming skills, especially in Python and MATLAB. Being able to showcase your coding abilities through practical examples or projects can set you apart from other candidates.
✨Tip Number 3
Engage with the data science community online. Participate in forums or discussions related to market analysis and forecasting, which can provide insights and connections that may benefit your application.
✨Tip Number 4
Prepare to discuss your analytical mindset and critical thinking skills. Think of specific examples where you've successfully analyzed data or solved complex problems, as these will be key points of interest for the interviewers.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Student Data Scientist (m/f/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Student Data Scientist position. Understand the key responsibilities and required skills, especially focusing on the analytical mindset and programming experience in Python or MATLAB.
Craft a Tailored Cover Letter: Write a short cover letter that highlights your interest in electricity markets and your analytical skills. Mention any relevant projects or experiences that demonstrate your ability to model data and analyze results.
Update Your Resume: Ensure your resume is up-to-date and includes relevant coursework, projects, and skills related to data science and programming. Highlight any experience you have with market analysis or forecasting.
Include Your Transcript: Attach your current transcript of records to your application. This will provide insight into your academic performance and relevant coursework that supports your application for the internship and master thesis.
Wie du dich auf ein Vorstellungsgespräch bei LexisNexis Risk Solutions vorbereitest
✨Understand the Electricity Market
Make sure to familiarize yourself with the European electricity market and its dynamics. Being able to discuss current trends and challenges in the market will show your genuine interest and analytical mindset.
✨Showcase Your Programming Skills
Prepare to discuss your experience with programming languages like Python or MATLAB. Be ready to provide examples of projects where you've applied these skills, especially in data analysis or modeling.
✨Communicate Effectively
Since good communication skills are essential for this role, practice explaining complex concepts in simple terms. This will demonstrate your ability to convey information clearly in both German and English.
✨Engage with the Team
Express your enthusiasm for working collaboratively with the data science team. Highlight any previous experiences where teamwork led to successful outcomes, as this role involves active involvement from Day 1.