Data Scientist for BI & Analytics
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København S
We invite you to bring your data skills into play, as you help shape the data science future of a leading engineering company. To succeed in this role you must have a strong sense of data and an ability to understand business problems. Are you our new Data Scientist? Click the apply-button to send your application.
Inviting bright minds
Do you want to push the boundaries of your profession and develop your excellence in an open, collaborative and empowering culture? We work to create a sustainable future and our inspiring projects and innovative solutions aim to set the standard among our peers. You will join a global company that has been growing successfully since its founding in 1945. Together, we lead and leave a positive impact on societies, companies and people around the world.
You will join our BI & Analytics department
As our new Data Scientist you will be part of the digital transformation that is taking place at Ramboll. BI & Analytics deliver global business intelligence & analytics products for internal business functions at Ramboll. The data science function is new within BI & Analytics but set to grow with the high demand. We are a part of an open-minded and data-savvy organisation, that understands the value of advanced analytics. The team structure is completely flat and promotes a high degree of autonomy and collaboration with time to explore new ideas. We are currently 20 colleagues working with BI & Analytics across three time zones.
Your key tasks and responsibilities will be:
Your starting point for constant growth
From the moment you join Ramboll, we will support your personal and professional development so that you grow with the company. For this role, we believe your starting point is:
Personal qualities that will help you succeed in this role include: You must understand that nothing has value until it is adopted into the daily business operation. This often require you to dive into a business area and understand their needs. As such a constant focus on learning is instrumental. Thus, you also communicate and structure complex information to meet the needs for the intended stakeholder audience, be it top management or colleagues.
Welcome to our Support Organisation
In Ramboll’s Support Organisation we take pride in keeping Ramboll running smoothly, enabling bright minds throughout the organisation to focus on their areas of expertise as we tie together all parts of the business. We provide support within areas like Finance, HR, IT, Legal, Communication, Facility Management and more, coordinating efforts and securding common ground for the development and servicing of clients and markets.
Ramboll globally
Ramboll is a leading engineering, architecture and consultancy company. Working at one of our offices in 35 countries you will join 16,500 fellow bright minds in creating innovative and sustainable solutions within Buildings, Transport, Energy, Environment & Health, Water and Management Consulting. Combining local experience with global knowledge, we help shape the society of tomorrow.
How to apply
Apply online. Attach your CV, cover letter and relevant documents showcasing why you are the right fit for the role, and when you are available to start. If you have any questions for the role, please reach out to Philip Roland Jarnhus, Senior Data Scientist at [email protected] or +45 51 61 10 26. Deadline: 31.07.2020.
Inviting bright minds
Do you want to push the boundaries of your profession and develop your excellence in an open, collaborative and empowering culture? We work to create a sustainable future and our inspiring projects and innovative solutions aim to set the standard among our peers. You will join a global company that has been growing successfully since its founding in 1945. Together, we lead and leave a positive impact on societies, companies and people around the world.
You will join our BI & Analytics department
As our new Data Scientist you will be part of the digital transformation that is taking place at Ramboll. BI & Analytics deliver global business intelligence & analytics products for internal business functions at Ramboll. The data science function is new within BI & Analytics but set to grow with the high demand. We are a part of an open-minded and data-savvy organisation, that understands the value of advanced analytics. The team structure is completely flat and promotes a high degree of autonomy and collaboration with time to explore new ideas. We are currently 20 colleagues working with BI & Analytics across three time zones.
Your key tasks and responsibilities will be:
- Perform explorative analysis to help business partners understand their current situation
- Build machine learning models
- Drive projects from concept to deployment and operation
- Be part of an ongoing dialogue on how to make Rambøll more data driven
Your starting point for constant growth
From the moment you join Ramboll, we will support your personal and professional development so that you grow with the company. For this role, we believe your starting point is:
- Just finished your master degree or have a few years of experience
- Good sense of data and data manipulation
- Familiarity with scripting language (e.g. R or python)
- Ability to communicate results and findings to people at all experience levels
- Know how to create a working product fast, and then improve on it in collaboration with business stakeholders
- Understand that there is more to data science than simply building machine learning models
Personal qualities that will help you succeed in this role include: You must understand that nothing has value until it is adopted into the daily business operation. This often require you to dive into a business area and understand their needs. As such a constant focus on learning is instrumental. Thus, you also communicate and structure complex information to meet the needs for the intended stakeholder audience, be it top management or colleagues.
Welcome to our Support Organisation
In Ramboll’s Support Organisation we take pride in keeping Ramboll running smoothly, enabling bright minds throughout the organisation to focus on their areas of expertise as we tie together all parts of the business. We provide support within areas like Finance, HR, IT, Legal, Communication, Facility Management and more, coordinating efforts and securding common ground for the development and servicing of clients and markets.
Ramboll globally
Ramboll is a leading engineering, architecture and consultancy company. Working at one of our offices in 35 countries you will join 16,500 fellow bright minds in creating innovative and sustainable solutions within Buildings, Transport, Energy, Environment & Health, Water and Management Consulting. Combining local experience with global knowledge, we help shape the society of tomorrow.
How to apply
Apply online. Attach your CV, cover letter and relevant documents showcasing why you are the right fit for the role, and when you are available to start. If you have any questions for the role, please reach out to Philip Roland Jarnhus, Senior Data Scientist at [email protected] or +45 51 61 10 26. Deadline: 31.07.2020.
Information og data
Denne ledige stilling har jobtypen "Data Manager", og befinder sig i kategorien "Informationsteknologi".
Arbejdsstedet er beliggende i København S.
Jobbet er oprettet på vores service den 30.6.2020, 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.
- Data Manager
- København S
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Statistik over udbudte jobs som data managere i København S
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Statistik over udbudte data managere i København S over tid
| Dato | Alle jobs som data managere |
|---|---|
| 17. december 2024 | 4 |
| 16. december 2024 | 3 |
| 15. december 2024 | 2 |
| 14. december 2024 | 2 |
| 13. december 2024 | 3 |
| 12. december 2024 | 3 |
| 11. december 2024 | 3 |
| 10. december 2024 | 4 |
| 9. december 2024 | 3 |
| 8. december 2024 | 3 |
| 7. december 2024 | 3 |
| 6. december 2024 | 3 |
| 5. december 2024 | 1 |
| 4. december 2024 | 1 |
| 3. december 2024 | 1 |
| 2. december 2024 | 1 |
| 1. december 2024 | 1 |
| 30. november 2024 | 1 |
| 29. november 2024 | 1 |
| 28. november 2024 | 1 |
| 27. november 2024 | 1 |