Data Scientist 36u/w
Volgnummer: 129405
Publicatiedatum: 29-06-2026
Locatie: EINDHOVEN
Standplaats: EINDHOVEN
Duur: 03-08-2026 - 30-07-2027
Optie tot verlenging: Ja
Reageren voor: 29-06-2026
•
• GEEN ZZP TOEGESTAAN
• 1 FTE
• Duur 12 maanden
• Startdatum z.s.m.
• Uren voorkeur 36 uur, minimaal 32 uur
• Ervaring 5+ jaar werkervaring, Git ervaring is een must.
• Kantoordagen maandag en woensdag, wisselend 1-2 dagen in de week.
• Locatie: kantoor Croeselaan Utrecht
You and your job
Join the Periodicity team, where we work on enriching transaction data by detecting reoccurring periodic patterns. As a Data Scientist, you will improve model performance, automate processes, and optimize algorithms for better financial insights. This role will challenge your statistical know-how, require an analytical mindset, and business expertise.
Practical Examples
•
• Expand the set of time related features of our periodicity detection model.
• Deliver production code in the end-to-end team of fellow Data Scientists and ML engineers assisted by a business analyst, scrum master, and a dedicated product manager.
• Propose and discuss innovative ideas with your team[KA1] [KD(2], using your excellent overview of our analytics landscape
Facts & Figures
•
• 36 hours per week
• 20+ Data scientists to collaborate with within the area
• 43,822 Rabobank colleagues around the world
Top 3 responsibilities
•
• Help shape the future of the model by working model design, high quality code and alignment with adjacent fields (IT, Architecture, Business)[KA3] [KD(4].
• Improve the model performance
• Lead through every phase of the MLOps live cycle
You and your talent
•
• Academic degree (MSc / Phd) in Data Science, Econometrics, Mathematics or a related field.
• 5+ years experience in advanced analytics / modelling / artificial intelligence activities (ideally with large data sets).
• Experience with Python, PySpark and Git (Azure Databricks experience is a plus).
• time series and predictions experience is a plus
• Structured, precise, communicative, can work well with different people and roles, pro-active, have a business focus, and can-do mentality.
• Excellent verbal and written communication skills in English.
Functie-eisen:
Git
PySpark
Python Solliciteer nu!
Duur: 03-08-2026 - 30-07-2027
Optie tot verlenging: Ja
Reageren voor: 29-06-2026
•
• GEEN ZZP TOEGESTAAN
• 1 FTE
• Duur 12 maanden
• Startdatum z.s.m.
• Uren voorkeur 36 uur, minimaal 32 uur
• Ervaring 5+ jaar werkervaring, Git ervaring is een must.
• Kantoordagen maandag en woensdag, wisselend 1-2 dagen in de week.
• Locatie: kantoor Croeselaan Utrecht
You and your job
Join the Periodicity team, where we work on enriching transaction data by detecting reoccurring periodic patterns. As a Data Scientist, you will improve model performance, automate processes, and optimize algorithms for better financial insights. This role will challenge your statistical know-how, require an analytical mindset, and business expertise.
Practical Examples
•
• Expand the set of time related features of our periodicity detection model.
• Deliver production code in the end-to-end team of fellow Data Scientists and ML engineers assisted by a business analyst, scrum master, and a dedicated product manager.
• Propose and discuss innovative ideas with your team[KA1] [KD(2], using your excellent overview of our analytics landscape
Facts & Figures
•
• 36 hours per week
• 20+ Data scientists to collaborate with within the area
• 43,822 Rabobank colleagues around the world
Top 3 responsibilities
•
• Help shape the future of the model by working model design, high quality code and alignment with adjacent fields (IT, Architecture, Business)[KA3] [KD(4].
• Improve the model performance
• Lead through every phase of the MLOps live cycle
You and your talent
•
• Academic degree (MSc / Phd) in Data Science, Econometrics, Mathematics or a related field.
• 5+ years experience in advanced analytics / modelling / artificial intelligence activities (ideally with large data sets).
• Experience with Python, PySpark and Git (Azure Databricks experience is a plus).
• time series and predictions experience is a plus
• Structured, precise, communicative, can work well with different people and roles, pro-active, have a business focus, and can-do mentality.
• Excellent verbal and written communication skills in English.
Functie-eisen:
Git
PySpark
Python Solliciteer nu!