Data Scientist/Data Engineer Master student

Data Scientist/Data Engineer Master student

About the Role

Location Denmark Midtjylland Brande Company Siemens Gamesa Renewable Energy A/S Organization Wind Power Business Unit Offshore Full / Part time Part-time Experience Level Early Professional

A Snapshot of Your Day

As a Data Scientist/Data Engineer Master student, your day will involve applying your machine learning skills to big data sets, contributing to innovative projects in the field of wind turbines. You will engage in various tasks, from developing machine learning models from scratch to performing data analysis. This role will provide you with hands-on experience in a dynamic environment, where you will enhance your technical skills and contribute to the advancement of Siemens Energy’s initiatives.

The position is part-time, requiring 1 day a week in the office (Brande), with a hybrid work model that accommodates your schedule.

How You’ll Make an Impact

Model Development & Improvement

• Develop machine learning models from scratch and improve existing models.
• Apply models to new data sets and conduct data analysis.
• Scope projects and goals, ensuring alignment with innovative research in machine learning.
• Visualize data for user consumption, potentially utilizing Power BI.
• Present data insights.
• Work independently while collaborating with team members in an agile environment.

What You Bring

• Currently enrolled in a Master’s degree program, preferably in Data Science, Statistics, Mathematics, or Computer Science.
• Strong theoretical foundations in machine learning, with a preference for computer vision.
• Comprehensive skills in Python and machine learning libraries, along with fluency in SQL.
• Familiarity with classic software development concepts like Git, servers, GPUs, and cloud services.
• A keen interest in processes and documentation, with strong organizational skills.