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. https://www.icis.com/explore

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.

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

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.

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 by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.

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