Working Student Weather Data Science

Would you like to work for Vattenfall one of Europes leading energy companies with trading activities in the global energy markets Do you want to contribute to the success of the trading function using your analytical capabilities programming skills and commercial comprehension In that case this student job could be the right one for you.

For our office in Hamburg we are looking for a Working Student Weather Data Science in the Trading Analysis & Algorithms department.

The Trading Analysis & Algorithms department within the Business Unit (BU) Trading works closely with the trading desks and takes the leading role in providing market insights (fundamental and quantitative) analysis and ultimately commercial decision support across all commodity areas. As part of the department the Algorithmic Trading desk works closely with the other trading desks and the Algo Infrastructure team and takes the leading role in algorithmic trading and automated trade across BU Trading from the intraday to term horizon.

Your main tasks and responsibilities as a Working Student Weather Data Science:

Supporting the trading meteorologists in   

• Identifying reviewing and integrating (new) information and sources/feeds for weather and climate data e.g. building web sers or data quality monitoring tools
• Further developing and automating routines procedures and applications for weather analysisrelated information and data flows
• Visualizing data and analyses in dashboards
• Conducting commercially relevant quantitative analyses by using advanced analytics e.g. performing weather forecast verifications or identifying weather trends
• Tackling programming challenges.

Qualifications :

Our ideal Working Student Weather Data Science:

• Student enrolled at a university in atmospheric sciences meteorology or related subject with a remaining duration of studies of at least 1 year and a willingness to work primarily from our office (home office possible occasionally)
• Strong programming (esp. Python) statistical and analytical skills
• Ability to work with large complex meteorological data sets in various formats
• Knowledge of energy markets advantageous but not required
• Good English language skills (both written and spoken) German language skills advantageous but not required
• Strong communication skills with the ability to communicate with various internal stakeholders and the willingness to share knowledge
• Result oriented independent and structured working method with high reliability and readiness to take on responsibility
• Proactive team player with eagerness to learn.

Additional Information :

Our offer
This is an excellent opportunity for an ambitious and talented student who wants to gain experience in the commodity business and data science field with a challenging and changeable student job within a leading company in its field. You will be working in interdisciplinary teams and you can always count on support from committed colleagues.

We welcome your application in English no later than 25.04.2025. We kindly request that you do not send applications by any means other than via our website as we cannot guarantee that we will be able to process applications that are not made via our website. The starting date for this student position is as soon as possible and the following documents are needed: CV enrolment certificate and current overview of grades.

For more detailed information regarding the recruitment process please contact our recruiter Sabrina Parsons:

At Vattenfall we are convinced that diversity contributes to build a more profitable and attractive company and we strive to be good role model regarding diversity. Vattenfall works actively for all employees to have the same opportunities and rights regardless of gender ethnicity age transgender identity or expression religion or other belief disability or sexual orientation.

The security of Vattenfall and its employees is essential. For that reason a preemployment screening will be part of your recruitment process. The screening is based on the role you will fulfil within Vattenfall. The screening will be performed by a third party Validata.

We look forward to receiving your application!

Remote Work :

No

Employment Type :

Parttime