Data Scientist
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Ballerup
Passionate about quality software, data, and innovation? Want to be part of shaping Tryg’s future? Then we would like to hear from you. Come and help us create value out of data and build our new data platform!
Why Tryg?
This is the perfect moment to join us as we intensify our focus on the digitalization and innovation of our services and business processes. Data is an incredibly important asset for Tryg, and you will put your mark on the platforms we develop.
You will be part of a dedicated team of top professionals implementing Tryg's strategic ambitions which are based on an extensive data architecture. You will receive a great deal of personal responsibility together with broad opportunities to learn and expand your knowledge.
About the role as Data Scientist | Design and create essential tools
Tryg has a long tradition of working with data to understand risks. We are now taking this experience to the next level and expanding our activities to many different customer-centric initiatives. As data from the customer touchpoints is scattered in a series of different systems, we are building a data platform to obtain easy, purpose-driven, and secure access to data.
In your role as our new Data Scientist, you will focus on creating internal tools for our data engineers, co-create with our software team to design, test, and use our new MLOps initiatives, and design tools to ease the usability of our services.
The work is expected to heavily involve LLM, agents, and vector databases. As this is a quite new area of data science, we expect you to be curious in nature and to like exploring the unknown.
The environment you will be working in has a strong technical and data foundation, currently employing more than 30 Data and Software engineers.
About you | Computer Science or Math
We imagine that you have a background in computer science or math (BSc required in Computer Science, math, or a similar field, Master is preferred) as well as written and verbal communication skills in English.
Knowledge and experience with the following are desirable but not required:
The shortlist of required qualifications reflects that we are not looking for someone who is necessarily a specialist. We are on a long journey, with challenges we cannot yet foresee, so we are looking for smart, curious, and talented individuals to help us solve difficult problems.
We imagine, that you are an individual who enjoys working on hard unsolved issues and has the high agency to do so. You will be the first Data Scientist in the department, meaning you will be a bit of a one-man army. Your colleagues are software and data engineers, and you are expected to take the lead and help define the data science of the department.
Interested?
Send your application today or no later than 5 January 2024, as we’ll be conducting interviews continuously and close the process when we have found the right candidate.
If you have any questions regarding the role, you are welcome to contact Andreas Harmuth, Data Engineering Manager at [email protected].
The interview process consists of three interviews: A technical interview with a take-home task given beforehand, a personal interview where we talk about the team and tasks, and finally an interview where Talent Acquisition participates.
Location: Ballerup (Copenhagen, Denmark)
Why Tryg?
This is the perfect moment to join us as we intensify our focus on the digitalization and innovation of our services and business processes. Data is an incredibly important asset for Tryg, and you will put your mark on the platforms we develop.
You will be part of a dedicated team of top professionals implementing Tryg's strategic ambitions which are based on an extensive data architecture. You will receive a great deal of personal responsibility together with broad opportunities to learn and expand your knowledge.
About the role as Data Scientist | Design and create essential tools
Tryg has a long tradition of working with data to understand risks. We are now taking this experience to the next level and expanding our activities to many different customer-centric initiatives. As data from the customer touchpoints is scattered in a series of different systems, we are building a data platform to obtain easy, purpose-driven, and secure access to data.
In your role as our new Data Scientist, you will focus on creating internal tools for our data engineers, co-create with our software team to design, test, and use our new MLOps initiatives, and design tools to ease the usability of our services.
The work is expected to heavily involve LLM, agents, and vector databases. As this is a quite new area of data science, we expect you to be curious in nature and to like exploring the unknown.
The environment you will be working in has a strong technical and data foundation, currently employing more than 30 Data and Software engineers.
About you | Computer Science or Math
We imagine that you have a background in computer science or math (BSc required in Computer Science, math, or a similar field, Master is preferred) as well as written and verbal communication skills in English.
Knowledge and experience with the following are desirable but not required:
- Experience with LLM – whether it be play or work
- Computer science
- Experience operating models in production
The shortlist of required qualifications reflects that we are not looking for someone who is necessarily a specialist. We are on a long journey, with challenges we cannot yet foresee, so we are looking for smart, curious, and talented individuals to help us solve difficult problems.
We imagine, that you are an individual who enjoys working on hard unsolved issues and has the high agency to do so. You will be the first Data Scientist in the department, meaning you will be a bit of a one-man army. Your colleagues are software and data engineers, and you are expected to take the lead and help define the data science of the department.
Interested?
Send your application today or no later than 5 January 2024, as we’ll be conducting interviews continuously and close the process when we have found the right candidate.
If you have any questions regarding the role, you are welcome to contact Andreas Harmuth, Data Engineering Manager at [email protected].
The interview process consists of three interviews: A technical interview with a take-home task given beforehand, a personal interview where we talk about the team and tasks, and finally an interview where Talent Acquisition participates.
Location: Ballerup (Copenhagen, Denmark)
Information og data
Denne ledige stilling har jobtypen "Øvrige", og befinder sig i kategorien "Øvrige stillinger".
Arbejdsstedet er beliggende i Ballerup.
Jobbet er oprettet på vores service den 12.12.2023, 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
- Ballerup
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Statistik over udbudte jobs som øvrige i Ballerup
Herunder ser du udviklingen i udbudte øvrige i Ballerup 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.
Se flere statistikker her:
Statistik over udbudte øvrige i Ballerup over tid
| Dato | Alle jobs som øvrige |
|---|---|
| 4. november 2024 | 56 |
| 3. november 2024 | 60 |
| 2. november 2024 | 59 |
| 1. november 2024 | 59 |
| 31. oktober 2024 | 76 |
| 30. oktober 2024 | 76 |
| 29. oktober 2024 | 82 |
| 28. oktober 2024 | 85 |
| 27. oktober 2024 | 86 |
| 26. oktober 2024 | 85 |
| 25. oktober 2024 | 77 |
| 24. oktober 2024 | 78 |
| 23. oktober 2024 | 82 |
| 22. oktober 2024 | 79 |
| 21. oktober 2024 | 81 |
| 20. oktober 2024 | 87 |
| 19. oktober 2024 | 87 |
| 18. oktober 2024 | 85 |
| 17. oktober 2024 | 84 |
| 16. oktober 2024 | 82 |
| 15. oktober 2024 | 82 |
| 14. oktober 2024 | 77 |
| 13. oktober 2024 | 81 |
| 12. oktober 2024 | 80 |
| 11. oktober 2024 | 79 |
| 10. oktober 2024 | 75 |
| 9. oktober 2024 | 76 |
| 8. oktober 2024 | 74 |
| 7. oktober 2024 | 76 |
| 6. oktober 2024 | 73 |
| 5. oktober 2024 | 70 |