Auf einen Blick
- Aufgaben: Join our Data Science team to model the European power markets and analyze market behavior.
- Arbeitgeber: ICIS optimizes global resources, helping companies make sustainable decisions with market transparency.
- 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: You should have programming skills in Python or MATLAB and a keen interest in market analysis.
- Andere Informationen: Opportunity to write your master thesis in collaboration with Karlsruhe Institute of Technology.
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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.
The internship as well as the master thesis focus on the application of the agent-based model ASSUME to the European Spot Power Market. The main goal is to set up a detailed European Spot Market model, applying high granular real data and analysing and forecasting the short-term behaviour of market agents.
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.
You will create automated routines for data pre- and post-processing in Python and analyze the model results. You will work with our experienced data science team to receive hands-on support and have discussions about your project, analysis and programming.
Main responsibilities
- Modelling of the European electricity market using the ASSUME Toolbox
- Obtaining in-depth knowledge of the European electricity market
- Supporting the data science team in analysing and developing automated data routines
- 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).#J-18808-Ljbffr
Student Data Scientist (m/f/d) Arbeitgeber: ENGINEERINGUK
Kontaktperson:
ENGINEERINGUK 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 the ASSUME Toolbox. Understanding these concepts will not only help you during the interview but also show your genuine interest in the role.
✨Tip Number 2
Brush up on your Python programming skills, especially in data pre- and post-processing. Being able to demonstrate your coding abilities in practical scenarios can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your analytical mindset and critical thinking skills. Think of examples from your studies or projects where you successfully analyzed data or solved complex problems.
✨Tip Number 4
Since good communication skills are essential, practice explaining complex topics in simple terms. This will help you convey your ideas clearly during discussions with the data science team.
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 you fully understand the responsibilities and requirements of the Student Data Scientist position. Familiarize yourself with the European electricity market and the ASSUME Toolbox, as this knowledge will be crucial in your application.
Craft a Tailored Cover Letter: Write a short cover letter that highlights your interest in electricity markets and your analytical skills. Mention any relevant experience or projects, especially those involving Python or MATLAB, to demonstrate your programming capabilities.
Update Your Resume: Ensure your resume is up-to-date and clearly outlines your educational background, relevant coursework, and any practical experience related to data science or market analysis. Highlight your communication skills in both German and English.
Include Your Transcript: Attach your current transcript of records to provide evidence of your academic performance. This will help showcase your commitment to your studies and your qualifications for the role.
Wie du dich auf ein Vorstellungsgespräch bei ENGINEERINGUK vorbereitest
✨Show Your Passion for Electricity Markets
Make sure to express your genuine interest in electricity markets and market analysis during the interview. Share any relevant projects or experiences that demonstrate your enthusiasm and understanding of the field.
✨Highlight Your Analytical Skills
Prepare to discuss specific examples where you've applied analytical thinking and problem-solving skills. Be ready to explain how you approach data analysis and modeling, especially in relation to the ASSUME Toolbox or similar tools.
✨Demonstrate Your Programming Experience
Since programming is a key part of the role, be prepared to talk about your experience with Python, MATLAB, or other programming languages. Consider discussing a project where you developed automated routines or analyzed data, showcasing your technical skills.
✨Communicate Effectively in Both Languages
As good communication skills in German and English are essential, practice articulating your thoughts clearly in both languages. You might be asked questions in either language, so being comfortable switching between them will show your versatility.