Trainee Data Scientist Trading

in Baden

Trainee Abgelaufen Master

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Tasks

Apply best-practice data science to implement Big Data and advanced analytics use-cases
Implement use-cases in close collaboration with their future users
Take part in different digital Transformation projects in the Business Unit Trading and Sales
Develop state-of-the-art machine learning, AA and BD procedures
Building and leverage a broad and practical knowhow
Creating an important network for your future career
Opportunity to work abroad with our European subsidiaries
Examples of the departments you might be working for: Origination, Asset-backed Trading, Analysis, Prop Trading (Power, Gas)

Education

Master university degree in Data Science, Computer Science, Engineering, Quantitative Finance, Physics or Mathematics

Experience

Some work experience as an intern or student employee

Skills

Know-how in Machine Learning, Deep Learning, Big Data and Data Sciences
Proficient in an appropriate programming language, ideally Python
Strong interest in the energy sector
Eager to implement use-cases, show their impact and create value
Analytical thinking
Willingness to take on responsibility
High initiative and flexibility
Self- assured and a proactive approach
Fluent in English, fluent in German is highly recommended

Benefits

We offer flexibility and optimal conditions for our employees to realize their potential at
Axpo. Benefit from a wide range of concessions, including a free half-fare travelcard, discounted
meals at our staff restaurant and subsidized childcare.

Application

Checking application documents and pre-selection When we receive your application we check your documents. If your motivation, qualifications and work experience fit the job profile, you're already a step closer. Video interview For this function, we carry out staggered video interviews before the first meeting. You will be able to answer our questions by video, and you decide on the time and place. Meeting you in person We now look forward to meeting you in person for the first time. You'll have the opportunity to learn more about Axpo and get more detailed information about the job. In a the "Selection Day" you will be given a sample task to complete. In the final stage we'll make you a fair offer in line with standard wages.

Deadline

Please apply until 20.04.2019.

Sprich uns an! Unser Recruiting Team freut sich darauf, Dich kennenzulernen! Kontakt

Am 18.03.2019 veröffentlicht. Originalanzeige