Student worker - Data Engineer with a focus on Machine Learning
DK-Brande - Borupvej
Applications have closed
Siemens Gamesa
Siemens Gamesa is a leader in the renewable energy industry, working to provide the world’s best offshore and onshore wind turbines and services.It takes the brightest minds to be a technology leader. It takes imagination to create green energy for the generations to come. At Siemens Gamesa we make real what matters, join our global team.
Siemens Gamesa is part of Siemens Energy, a global leader in energy technology with a rich legacy of innovation spanning over 150 years. Together, we are committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. As a leading player in the wind industry and manufacturer of wind turbines, we are passionate about driving the energy transition and providing innovative solutions that meet the growing energy demand of the global community. At Siemens Gamesa, we are constantly seeking talented individuals to join our team and support our focus on energy transformation.
Find out how you can make a difference at Siemens Gamesa: Working with us.
How to contribute to our vision
As our new student worker, you will be a part of an international team in the Offshore Service Product Configuration team, where teamplay matters.
You will be interacting with a lot of the team, who come from around the world. The communication will be in English.
Your responsibilities include:
Develop machine learning models from scratch.
Improve existing models and apply them to new data.
Acquire knowledge of innovative research within different machine-learning areas.
Scope projects and goals.
Make further explorations on machine learning in Wind turbines.
Do data analysis.
Use standard software practices to improve development and machine learning operations.
What you need to make a difference
Passion for renewable energy and a sense for the importance to lead the change. We are looking for someone who is currently enrolled at the university (Bachelor or Masters) in Software Engineering, Machine Learning, (or similar).
Please indicate in the application which semester you are on and if you plan to go for a masters degree.
To be successful in this role, you need/are:
Fluent in SQL
A good understanding of SAP/ERP systems
Comprehensive skills in Python and machine learning libraries.
Experienced with classic software development concepts like git, servers, GPUs, and cloud services.
Able to communicate effectively with stakeholders, (present findings)
Interested in Processes and Documentation
Experienced with JIRA or other software development management applications
Fluent in Scrum/Kanban
Able to Work independently
Fluent in English language, speaking and writing.
Be aware that we are looking for a candidate, who can attend the office 1 times a week.
Most importantly, you challenge yourself and your colleagues to achieve the best results. You have a high professional competency, and you have a desire to develop your skills. You have good collaboration skills, and you can manage to act in different cultural contexts. To thrive in this position, you must have a strong result- and customer-oriented approach.
In return of your commitment, we offer you…
To become a part of our mission for sustainability: clean energy for generations to come. We are a global team of diverse colleagues who share a passion for renewable energy and have a culture of trust and empowerment to make our own ideas a reality. We focus on personal and professional development to grow internally within our organization. Siemens Gamesa offers a wide variety of benefits such as flexible working hours as well as home-office possibility for many colleagues, employer-funded pension, attractive remuneration package (fixed/variable) and local benefits such as subsidized lunch, employee discounts and much more.
Empowering our people
https://www.siemensgamesa.com/sustainability/employees
#studentworker
How do you imagine the future?
Our global team is on the front line of tackling the climate crisis, reducing carbon emissions – the greatest challenge we face.
Other information
For further information regarding the recruitment process, please contact the recruitment team via Maia Coombs on maia.coombs.ext@siemensgamesa.com. Please mention the Job ID in the email.
We kindly draw your attention to the fact that this email may NOT be used for sending applications or CVs for evaluation.
Please apply in English via the apply button with your CV and a motivational letter
Siemens Gamesa is an equal opportunity employer and maintains a work environment that is free from discrimination and where employees are treated with dignity and respect. Employment at Siemens Gamesa is based solely on an individual's merit and qualifications, which are directly related to job competence. Siemens Gamesa does not discriminate against any employee or job applicant on the basis of race, ethnicity, nationality, ancestry, genetic information, citizenship, religion, age, gender, gender identity/expression, sexual orientation, pregnancy, marital status, disability or any other characteristic protected by applicable laws, rules or regulations. We adhere to these principles in all aspects of employment, including recruiting, hiring, training, compensation, promotion and benefits.
We are driven by people - from more than 100 different countries, they build the company we are every day. Our diverse and inclusive culture encourages us to think outside the box, speak without fear, and be bold. We value the flexibility that our smart-working arrangements, our digital disconnection framework and our family-friendly practices bring to the new way of working.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data analysis Engineering Git Jira Kanban Machine Learning ML models Python Research Scrum SQL
Perks/benefits: Career development Flex hours
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