Your contribution to TenneT
The Maintenance Onshore (M-ON) department in the performance unit Asset Management TenneT is involved in long- and medium-term risk mitigation in TenneT's high-voltage grid with the aim of guaranteeing security of supply and safety. The department gives direction to the technical implementation of maintenance activities and the right follow-up activities. In addition, the team is responsible for monitoring the condition of the assets and defining solutions for bottlenecks in the grid that arise due to age. You will work in our data cluster, a diverse and international team of four maintenance strategist with high affinity to data science with a focus of making TenneT’s maintenance more data driven.
As a Data Scientist Maintenance you will manage a challenging and diverse package and you will work in the M-ON team of 17 colleagues. Together with these colleagues your responsibility is to ensure that the network is optimally maintained and that the risks of the high-voltage grid are managed. You will look for creative and innovative solutions to mitigate these risks in the long term. In this position you will determine the high maintenance strategy and research data-driven and innovative solutions for this.
Your responsibilities:
- Help in developing and implementing our data driven maintenance strategy and roadmap.
- Execute and drive data projects in our team like predictive maintenance, AI and BI.
- Connect your data expertise with our technology experts to successfully implement data-driven maintenance.
- Develop and maintain the method to maintain insight into the condition of the assets.
- Formulating and thinking along about long-term policy in the field of data-driven maintenance.
- Contribute to optimizing maintenance management and data-driven asset performance optimization.
- Representing TenneT in external working groups and partnerships.
Your profile and background
- Bachelor’s or master’s degree, preferably in the direction of Data Science, Electrical Engineering or a relevant exact discipline like physics, mathematics.
- Minimum 3 years' of relevant work experience in data driven challenges in maintenance.
- Experience and skilled in python, SQL, Git and PowerBI.
- Able to 'build bridges' between different internal departments and external parties.
- You are enterprising and expected to take responsibility for what needs to be done.
- Communicative and socially you're very skilled and you've the right amount of tact. In addition, you are self-aware and have good empathy.
- You are analytically strong, aware of the environment and have good judgement. Persuasiveness and independence are important.
- Excellent command of the English language in word and writing for the preparation of advisory documents.
Our recruiting process
Our offer
Additional information
- The weekly working time is 40 hours;
- The position is unlimited;
- Job interviews for this position will be in English. Please send us your application documents (CV + motivation letter) in English as well;
- Salary for this position is in grade 8 or 9 depending on experience.
Salary
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