Data scientist with an interest in electrical power systems and the green energy transition
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København S
Do you want to take part in driving the green energy transition in Europe towards a fully carbon-neutral, sustainable energy system? Are you a data scientist who is curious, open-minded, proactive and enjoy working in an explorative and collaborative way? Do you want to work together with engineers, IT experts and developers trying to find the secrets hidden in the vast amounts of data related to our services?
We are looking for a data scientist to join our analytics team. Are you the one we are looking for?
Join , a fast-developing company providing regional power system planning data and security analysis to support the national Transmission System Operators of Finland, Norway, Sweden and Denmark to ensure the efficient operation of the Nordic Power System and high security of power supply at any time.
Job description
As a Data Scientist in our Analytics team, you will collaborate with power engineers, IT specialists and application developers gathering insights and driving innovation to improve our processes. Your role will involve interpreting and analyzing data from various sources, working closely with engineers to visualize findings, and proposing solutions to complex challenges within the energy sector. The work is highly explorative and dynamic. It is therefore important that you have a proactive, innovative mindset, and are not afraid to challenge status quo and approach an issue in a new way. With a combination of programming, mathematical modeling, and data visualization skills, you will play a crucial role in shaping our approach to business challenges and in optimizing our processes and data quality.
Your primary tasks and areas of responsibility:
Skills and experience
The ideal candidates will most likely have
Additionally, you should have:
An international and flexible working environment
You will join a team of competent, diverse and enthusiastic colleagues. We are currently 22 nationalities with more than 30% women (striving to improve this balance) and all ages. You will also at times work in teams with colleagues from the Nordic TSOs either in virtual teams or in physically.
The Data & Analytics department is a recently established department with expertise in data architecture, data science, power system engineering, and we are now hiring another data scientist to increase our ability to deliver data insight and quality improvement to our services. It is a small department with a young, enthusiastic, and curious team with an informal work atmosphere, where you can be sure to make an impact.
Your daily workplace will be in our newly furnished office premises in Copenhagen Towers, Ørestad. We are offering workplace flexibility to ensure a healthy work-life balance, including the possibility for working from home some of your worktime, however, to support social relation between colleagues and the collaborative nature of our work, physical presence in the office is expected most days.
Our values of fellowship, curiosity, respect, and transparency have been defined by all employees. They identify how we behave and shape the way we work together, and we expect you to see yourself in them.
Application deadline and contact information
Please apply online as soon as possible (in English) and no later than 1st of December 2024. Interviews will be conducted on a rolling basis. To ensure a fair and unbiased recruitment process, we kindly request that you do not include photographs in your CVs or application materials.
If you have any questions, please contact Håkon Haavik Nystad, Analytics team lead, at +.
The job requires security clearance which will be facilitated by .
Kilde:
We are looking for a data scientist to join our analytics team. Are you the one we are looking for?
Join , a fast-developing company providing regional power system planning data and security analysis to support the national Transmission System Operators of Finland, Norway, Sweden and Denmark to ensure the efficient operation of the Nordic Power System and high security of power supply at any time.
Job description
As a Data Scientist in our Analytics team, you will collaborate with power engineers, IT specialists and application developers gathering insights and driving innovation to improve our processes. Your role will involve interpreting and analyzing data from various sources, working closely with engineers to visualize findings, and proposing solutions to complex challenges within the energy sector. The work is highly explorative and dynamic. It is therefore important that you have a proactive, innovative mindset, and are not afraid to challenge status quo and approach an issue in a new way. With a combination of programming, mathematical modeling, and data visualization skills, you will play a crucial role in shaping our approach to business challenges and in optimizing our processes and data quality.
Your primary tasks and areas of responsibility:
- Collaborate with power engineers and IT specialists to define problem formulations for business challenges.
- Apply expertise in data science, modelling, mathematics, statistics, and data visualization to identify potential issues and propose new ways to improve the quality of the data and the process.
- Work together with application developers and engineers to develop tools and applications for data science, back-office, and operational support.
- Design, together with engineers and developers, ways to visualize and communicate large amounts of complex information in a clear and easily understandable way.
- Communicate important information and insights to engineers and IT experts, as well as to management using effective and intuitive graphical representations.
- Identify possible data sets to solve a problem and the sources for this data.
Skills and experience
The ideal candidates will most likely have
- A master’s degree in data science, statistics, mathematics, computer science, engineering or related field.
- Experience working as a data scientist, preferably in a relevant industry.
Additionally, you should have:
- Proficiency in Python and SQL
- Experience with C#, SQL, R and Spark are advantageous, but is not a requirement.
- Knowledge of common machine learning libraries and algorithms.
- Proficiency in data visualization.
- A proactive mindset with willingness to challenge status quo and to explore new approaches.
- Strong teamwork, problem-solving and communication skills.
- Knowledge of the energy sector and power systems are an advantage, but not a requirement.
An international and flexible working environment
You will join a team of competent, diverse and enthusiastic colleagues. We are currently 22 nationalities with more than 30% women (striving to improve this balance) and all ages. You will also at times work in teams with colleagues from the Nordic TSOs either in virtual teams or in physically.
The Data & Analytics department is a recently established department with expertise in data architecture, data science, power system engineering, and we are now hiring another data scientist to increase our ability to deliver data insight and quality improvement to our services. It is a small department with a young, enthusiastic, and curious team with an informal work atmosphere, where you can be sure to make an impact.
Your daily workplace will be in our newly furnished office premises in Copenhagen Towers, Ørestad. We are offering workplace flexibility to ensure a healthy work-life balance, including the possibility for working from home some of your worktime, however, to support social relation between colleagues and the collaborative nature of our work, physical presence in the office is expected most days.
Our values of fellowship, curiosity, respect, and transparency have been defined by all employees. They identify how we behave and shape the way we work together, and we expect you to see yourself in them.
Application deadline and contact information
Please apply online as soon as possible (in English) and no later than 1st of December 2024. Interviews will be conducted on a rolling basis. To ensure a fair and unbiased recruitment process, we kindly request that you do not include photographs in your CVs or application materials.
If you have any questions, please contact Håkon Haavik Nystad, Analytics team lead, at +.
The job requires security clearance which will be facilitated by .
Kilde:
Information og data
Denne ledige stilling har jobtypen "Øvrige", og befinder sig i kategorien "Øvrige stillinger".
Arbejdsstedet er beliggende i København S.
Jobbet er oprettet på vores service den 12.11.2024, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Øvrige
- København S
- Søndag den 01. december 2024
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Statistik over udbudte jobs som øvrige i København S
Herunder ser du udviklingen i udbudte øvrige i København S over tid. Bemærk at jobs der ikke har en bestemt geografi ikke er medtaget i tabellen. I den første kolonne ser du datoen. I den næste kolonne ser du det samlede antal øvrige.
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Statistik over udbudte øvrige i København S over tid
| Dato | Alle jobs som øvrige |
|---|---|
| 21. december 2024 | 75 |
| 20. december 2024 | 81 |
| 19. december 2024 | 78 |
| 18. december 2024 | 71 |
| 17. december 2024 | 71 |
| 16. december 2024 | 80 |
| 15. december 2024 | 84 |
| 14. december 2024 | 83 |
| 13. december 2024 | 82 |
| 12. december 2024 | 76 |
| 11. december 2024 | 77 |
| 10. december 2024 | 77 |
| 9. december 2024 | 76 |
| 8. december 2024 | 74 |
| 7. december 2024 | 73 |
| 6. december 2024 | 72 |
| 5. december 2024 | 75 |
| 4. december 2024 | 79 |
| 3. december 2024 | 72 |
| 2. december 2024 | 71 |
| 1. december 2024 | 75 |
| 30. november 2024 | 81 |
| 29. november 2024 | 81 |
| 28. november 2024 | 76 |
| 27. november 2024 | 78 |
| 26. november 2024 | 78 |
| 25. november 2024 | 75 |
| 24. november 2024 | 74 |
| 23. november 2024 | 77 |
| 22. november 2024 | 80 |
| 21. november 2024 | 80 |