Internship – Data Scientist
Denne stilling er desværre ikke længere ledig.
Se alle ledige stillinger
Praktik - Esbjerg
Application deadline: 27.12.2021
Expected start date: Q1
Appetizer
Ever thought about unlocking your potential in an international, high performing energy company? Then, seize the opportunity to join us at TotalEnergies for an internship as a Data Scientist!
Key Responsibilities
As an intern, you will have the opportunity to work in collaboration with a team of Data Engineers, led by a senior manager with extensive hands-on Datascience experience applied to industrial data. You will develop use cases for ad-hoc apps, to be developed by the team, to meet and invent specific use cases: the TotalEnergies Denmark Datascience team supports the broad ambition of digital transformation of exploration and production activities, through applied Datascience and Data-centric exploration of digital transformation cases. This is a great opportunity for you to turn your theoretical knowledge into practice and contributing to new and better solutions.
You will be working closely with the manager in exploring how the following could be organized:
Other missions: data engineering and non-data science missions of the team (depending on profile):
This internship is based in Esbjerg, where TotalEnergies Denmark has its operational offices for the Danish North Sea and the oil and gas platforms are located.
Expected start date: Q1
Appetizer
Ever thought about unlocking your potential in an international, high performing energy company? Then, seize the opportunity to join us at TotalEnergies for an internship as a Data Scientist!
Key Responsibilities
As an intern, you will have the opportunity to work in collaboration with a team of Data Engineers, led by a senior manager with extensive hands-on Datascience experience applied to industrial data. You will develop use cases for ad-hoc apps, to be developed by the team, to meet and invent specific use cases: the TotalEnergies Denmark Datascience team supports the broad ambition of digital transformation of exploration and production activities, through applied Datascience and Data-centric exploration of digital transformation cases. This is a great opportunity for you to turn your theoretical knowledge into practice and contributing to new and better solutions.
You will be working closely with the manager in exploring how the following could be organized:
- Active participation in data collection, preparation on variety of format of data. Abundant and good quality of industrial realtime data, documents, unstructured databases (predominantly comments and text), data from sap & specialized softwares
- Exploratory data analysis, supported by subject matter experts
- Advanced feature engineering and modelling
- Coupling physical models with empirical/data-centric modelling strategies, on oil and gas or carbon-footprint reduction projects
- For performance projects: text mining, labelling and use-case construction from multiple formats of data (pdfs, textual comments, structured and unstructured datasets)
- Developing advanced visualizations (interactive preferred platform in 2021: dash/plotly) to interact efficiently with users and subject matter experts
- Developing applications/solutions to make the analysis/models available to the relevant users (engineers management). In 2021, one of the apps developed with dash won one of the prestigious TotalEnergies innovation prizes.
Other missions: data engineering and non-data science missions of the team (depending on profile):
- Developing know how in python connections to multi-industry tools (SAP, OSISOFT PI, AVEVA), to PETEX digital oil field platform (state-of-the-art digital twin optimizer for well and surface networks), and other “metier” database systems
- Support to development and deployment of offshore mobility solutions (tablets + apps). Android/React/Fluter/Xamarin coding skills are a plus, as some projects will involve those techs.
- Support to drones, loT projects. Development of the data valorization component of those technologies.
- Possible support to offshore testing and deployment of digital solutions developed by team or by the TotalEnergies Digital Factory
- Technological watch.
This internship is based in Esbjerg, where TotalEnergies Denmark has its operational offices for the Danish North Sea and the oil and gas platforms are located.
Information og data
Denne ledige stilling har jobtypen "Data Manager", og befinder sig i kategorien "Informationsteknologi".
Arbejdsstedet er beliggende i Esbjerg.
Jobbet er oprettet på vores service den 10.12.2021, 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
- Esbjerg
Lignende jobs
-
Data Engineer (Project Manager)
Brüel & Kjær Vibro (B&K Vibro) is one of the world’s largest independent suppliers of machinery protection and condition monitoring systems. The systems are installed on rotating and reciprocating .- Data Manager
- Hele Danmark
-
Master Data Specialist
- Data Manager
- Vejle
-
Data Engineer for Schneider Electric
Data Engineer – Join Schneider Electrics Innovative Analytics Team in Kolding Are you passionate about leveraging your expertise in data engineering and software development to drive sustainabl..- Data Manager
- Kolding
-
Data Manager til dao
Hvis vi siger: ”Agile Data Governance”, siger du så: ”ja tak, det er lige mig”? Du forstår nemlig værdien af data og vil elske at være den, der med en pragmatisk tilgang, sikrer implementering af e..- Data Manager
- Vejle
Statistik over udbudte jobs som data managere i Esbjerg
Herunder ser du udviklingen i udbudte data manager i Esbjerg 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 data managere.
Se flere statistikker her:
Statistik over udbudte data managere i Esbjerg over tid
Dato | Alle jobs som data managere |
---|---|
23. november 2024 | 1 |
22. november 2024 | 1 |
21. november 2024 | 1 |
20. november 2024 | 1 |
19. november 2024 | 1 |
18. november 2024 | 1 |
17. november 2024 | 1 |
16. november 2024 | 1 |
15. november 2024 | 1 |
14. november 2024 | 1 |