Data Scientist
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THE JOB
Data Scientist/Engineer
Can you bring data to life and do you want to be part of Saxo Bank’s data driven journey to reshape the financial services industry? We are looking for a Data Scientist/Engineer with a solid IT toolbox and potentially ML/statistical knowledge to help us accelerate this journey.
A key part of Saxo Bank’s success has been our ability to use all the data we have available to deliver best in class product and services. We are looking for a person to help develop our existing and new predictive models focusing on Web Analytics, client acquisition and experience optimization.
Predictive Modelling and Client Research
As our new Data Scientist you will belong to the Predictive Modelling and Client Research team w. a current target size of 4-5. The team is part of the Big Data and AI umbrella spanning a diverse set of backgrounds and skills. We are exposed to the whole business, but are working closely together with marketing and client experience as well as our IT data teams.
Saxo Bank is in a rapid transformation from being a classical Microsoft house to becoming cloud first and open source friendly. Our tool-stack on the Data-Science side is the common open source stack creating models in Python/R with newer models relying on Databricks.
We are in general NOT looking for someone to spend all day tuning neuralnets nor implementing custom AI algorithms.
We are however looking for someone with a solid IT toolbox at hand, who has an interest in Data-Science and how the tools can be utilized in solving real-world problems and drive value for Saxo Bank clients. We need a person who can help create robust data flows, help out in building and productionizing predictive models but also create and present derived data/results in a dashboard if needed.
Among others you will be responsible for:
- Help develop and drive our data-science ambitions in regards to web-analytics and online experience. Includes obtaining an understanding of our current framework and its possibilities.
- Create solid data flows and training-data together with other Data-Scientists using python/R, SQL Server, SSIS, Apache Airflow, Data-Bricks.
- Help in creating, implementing and maintaining models through out their life-cycle. Including pre- analysis of data, creating the pipelines, looking at performance and setting up surveillance + data quality checks.
- Exploring Azure cognitive services and help exposing the advanced tools to the broader organization.
- Support marketing and the commercial parts of our business on technical questions and solutions related to client/online data.
YOUR PROFILE
As a person you come across as methodical, curios, self-motivated and with a scientific mindset.
Further we are looking for a candidate with most of the following qualifications:
- Experience in Python potentially R (knowledge of either C++, C#, Java, Scala is a plus).
- Knowledge of database systems: Efficient in SQL (knowledge of Azure Data Lake, Data-Bricks Delta Lake is a plus).
- ETL skills (knowledge of Apache Airflow, Spark/Databricks, Kafka, SSIS is a plus)
- Experience with Git
- Experience with Web Analytics such as Google or Adobe is plus.
- Ability to present data in an understandable way (knowledge of PowerBI or similar is a plus)
- A basic mathematical foundation and some statistical/ML knowledge.
- Relevant education or proven experience: Background from Natural Science, Cand.polyt, IT master or similar.
- Working experience in the financial industry is plus.
- English, verbal and written.
WE OFFER
- A great position in a diverse team of highly skilled and experienced professionals
- To become part of the Saxonian family which counts +1400 globally; an open and highly dynamic work environment, which enables rapid decision making and delivery.
- The opportunity to make significant impact on the business and the industry, and to apply and develop your skills in the context of global financial markets.
- A modern and flexible software stack with the opportunity to shape our future toolbox.
- A role in developing and shaping our future marketing technology stack in terms of web- tracking, analytics and online experience.
Information og data
Denne ledige stilling har jobtypen "Data Manager", og befinder sig i kategorien "Informationsteknologi".
Arbejdsstedet er beliggende i København
Jobbet er oprettet på vores service den 4.8.2020, men kan have været deaktiveret og genaktiveret igen.
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Statistik over udbudte jobs som data managere i København
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Statistik over udbudte data managere i København over tid
Dato | Alle jobs som data managere |
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25. december 2024 | 68 |
24. december 2024 | 68 |
23. december 2024 | 65 |
22. december 2024 | 65 |
21. december 2024 | 63 |
20. december 2024 | 58 |
19. december 2024 | 60 |
18. december 2024 | 56 |
17. december 2024 | 52 |
16. december 2024 | 50 |
15. december 2024 | 50 |
14. december 2024 | 46 |
13. december 2024 | 55 |
12. december 2024 | 43 |
11. december 2024 | 46 |
10. december 2024 | 49 |
9. december 2024 | 48 |
8. december 2024 | 52 |
7. december 2024 | 52 |
6. december 2024 | 55 |
5. december 2024 | 52 |
4. december 2024 | 54 |
3. december 2024 | 58 |
2. december 2024 | 62 |
1. december 2024 | 65 |
30. november 2024 | 65 |
29. november 2024 | 65 |
28. november 2024 | 64 |
27. november 2024 | 64 |
26. november 2024 | 63 |
25. november 2024 | 65 |
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