Working Students Data Science (m/f/d)

Company Description

Vattenfall is a leading European energy company driving the transition to a sustainable energy system. We have been electrifying industries, powering homes and transforming life through innovation for more than 100 years and now have a mission of working for fossil freedom. We employ around 20,000 people mostly in our core markets in Sweden, Germany, the Netherlands, Denmark, and the UK.

Business Area (BA) Markets maximises the value of Vattenfall’s portfolio by optimising and dis­patching, hedging, and sourcing for Vattenfall's assets and sales positions. We offer power purchase agree­ments to operators of wind or solar parks, optimise 3rd party batteries, and enter into origination deals within the B2B segment. We serve as Vattenfall’s single market access to energy commodity markets trading in electricity, emissions, fuels, freight, and renewable certificates. We are responsible for generating profits by taking positions within defined risk mandates and limits. We are active across Europe with around 500 professionals working from Sweden, Germany, The Netherlands, and The UK.

Within Markets the Business Unit (BU) Trading is the energy trading hub of the Vattenfall Group.
BU Trading is responsible for all trading activities around Vattenfall´s asset and customer flows to maximize value creation and improve sourcing costs. It provides all market access services for standard OTC and exchange-based energy commodities for the Vattenfall Group, which means managing all hedge flows, from generation assets or customers, by our market access function.
Next to handling our flow business, BU Trading also has a proprietary mandate.

Job Description

Would you like to work for Vattenfall, one of Europe’s 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 5-6 Working Students Data Science (m/f/d) 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 execution across BU Trading from the intraday to term horizon.

Your main tasks and responsibilities as Working Student Data Science:

• Supporting the energy traders and trading analysts in   
  • Identifying, reviewing, and integrating (new) information and sources/feeds for market or fundamental data, e.g., building web scrapers or data quality monitoring tools
  • Further developing and automating routines, procedures, and applications for analysis-related information and data flows
  • Visualizing data and analyses in dashboards
  • Further developing the fundamental and mathematical market modelling, incl. utilizing machine learning approaches
  • Conducting commercially relevant quantitative analyses by using advanced analytics
  • Tackling programming challenges
• Be part of the Trading Analysis & Algorithms department and contribute to its analysis output.

Qualifications

Our ideal Working Student Data Science:

• Student enrolled at a university in a quantitative subject like data science, statistics, computer science, engineering or natural sciences – 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 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 ambitious and talented students who wants to gain experience in the commodity business and data science fie