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Data Scientist
Aanvraagnummer: 32466
Contractvorm: Detachering
Organisatie: Rabobank
Locatie: Utrecht, Croeselaan
Uren per week: 36 per week
Tarief: Geen maximum
Duur van de opdracht: 16 maanden
Regio: Utrecht
Startdatum: Z.S.M.
Optie tot verlenging: Nee
Sluitingsdatum: 05-03-2026 17:00
LET OP! Deze opdracht is gesloten
Important:
• Due to the large expected professionals for this position, we unfortunately can not provide substantive feedback for all rejected candidates;
• We are only looking for 1FTE. We will close the vacancy before the indicated deadline when we received enough professionals. Please upload your most suitable candidate as soon as possible;
• Language: English mandatory;
• ZZP Allowed: No;
• Duration: 9 months;
• Start as soon as possible;
• 36 hours preferred, minimum 32 hours.
• Experience: 5+ years of work experience, Git experience is required.
• Office hours: Monday and Wednesday, alternating 1-2 days a week.
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.
We would like to receive a motivation showing the required competencies.
Additional information:
• All departments are working hybrid, in terms of Rabobank @anywhere policy;
• Suppliers must be aware of the laws and regulations regarding employment conditions and Rabobank’s Collective Labour Agreement. This assignment is placed in scale 9;
• We would like to receive the personal motivation of the candidate and CV in English;
• Due to changing laws and regulations, this assignment is NOT suitable for the deployment of a self-employed professional. Naturally, we are happy to answer any questions;
• A candidate should be submitted exclusively to – Rabobank during the exclusivity period of 4 business days on one request;
• Furthermore, the candidate has to be available throughout the entire duration of the assignment;
• All submitted candidates must be in possession of a valid Passport or ID card, which must be taken along to the interview and at the start of the assignment;
• Pre-employment screening: If the candidate is selected to start, a pre-employment screening will be executed. We will send you the required documents to be filled in and returned as soon as possible. Your candidate is only allowed to start after the pre-employment screening has been completed successfully;