Data Scientist 36u/w
Volgnummer: 123531
Publicatiedatum: 29-04-2026
Locatie: UTRECHT
Standplaats: UTRECHT
Duur: 17-03-2026 - 31-12-2026
Optie tot verlenging: Ja
Reageren voor: 29-04-2026
1 FTE (36 hours per week)
Language: English
Work model: Hybrid (office attendance on Mondays and Thursdays)
Start date: 1 June 2026
End date: 31 December 2026
You and Your Role
As a Junior Insights Data Scientist – Transaction Monitoring, you will deliver data-driven insights and build automated pipelines and workflows based on transaction data from over 8 million Rabobank customers. Your work enables colleagues to make better-informed decisions in identifying and preventing financial crime.
Preventing Money Laundering and Terrorist Financing is a key responsibility for both our organisation and society as a whole. As a bank, Rabobank plays a crucial role in this area. To be effective, we rely on curious and motivated professionals like you—people who enjoy diving into data, patterns, and customer behaviour to uncover suspicious or illegal activities.
Together with your team, you will be responsible for generating insights into our current Transaction Monitoring (TM) system and supporting its continuous optimisation. This role requires a strong combination of technical and analytical skills, along with the ability to visualise and clearly communicate your findings. When done well, your work allows operational analysts to focus on true positive alerts and spend their time on activities that truly add value. In short, you will be on the front line of the fight against financial crime.
Team Composition
You will join a team of 8 professionals, including a Product Owner, Scrum Master, and a diverse mix of Data Scientists and Data Analysts.
Your Top 3 Responsibilities
• Develop and improve data pipelines for tuning, lookbacks, and impact analyses, combining complex TM model components in a smart and efficient way.
• Perform end-to-end analyses, from intake and coding to visualisation and presenting insights to stakeholders.
• Design and build production-ready dashboards, covering both front-end and back-end, to support rule tuning, rule development, and insight into daily transaction monitoring detection.
Practical Examples of Your Work
• Estimating the impact of proposed parameter changes in the TM model on overall effectiveness and efficiency.
• Optimising workflows to enable tuning across a broader range of parameter combinations.
• Building dashboards in collaboration with platform squads and bringing them into production, such as:
• A TM rule performance dashboard to optimise detection rules
• An overview dashboard providing system-wide TM insights
• A transaction dashboard to support the development of new TM rules
Your Profile
• Hold a Master’s degree in a technical field
• Have 2+ years of experience performing data analysis in Python
• Have experience with PySpark, Databricks, Power BI, and building end-to-end solutions using repositories, version control, pipelines, and testing frameworks
• Are able to identify the real question behind a request and present results in a convincing and structured way
• Are precise, proactive, communicative, and business-oriented, with a strong can-do mentality
• Thrive in a high-impact, fast-paced, and complex environment
• Are motivated to fight financial crime by improving the effectiveness of transaction monitoring—not just by building complex models, but by delivering measurable impact
• Have excellent written and verbal communication skills in English
Functie-eisen:
Databricks
PySpark
Python Solliciteer nu!
Duur: 17-03-2026 - 31-12-2026
Optie tot verlenging: Ja
Reageren voor: 29-04-2026
1 FTE (36 hours per week)
Language: English
Work model: Hybrid (office attendance on Mondays and Thursdays)
Start date: 1 June 2026
End date: 31 December 2026
You and Your Role
As a Junior Insights Data Scientist – Transaction Monitoring, you will deliver data-driven insights and build automated pipelines and workflows based on transaction data from over 8 million Rabobank customers. Your work enables colleagues to make better-informed decisions in identifying and preventing financial crime.
Preventing Money Laundering and Terrorist Financing is a key responsibility for both our organisation and society as a whole. As a bank, Rabobank plays a crucial role in this area. To be effective, we rely on curious and motivated professionals like you—people who enjoy diving into data, patterns, and customer behaviour to uncover suspicious or illegal activities.
Together with your team, you will be responsible for generating insights into our current Transaction Monitoring (TM) system and supporting its continuous optimisation. This role requires a strong combination of technical and analytical skills, along with the ability to visualise and clearly communicate your findings. When done well, your work allows operational analysts to focus on true positive alerts and spend their time on activities that truly add value. In short, you will be on the front line of the fight against financial crime.
Team Composition
You will join a team of 8 professionals, including a Product Owner, Scrum Master, and a diverse mix of Data Scientists and Data Analysts.
Your Top 3 Responsibilities
• Develop and improve data pipelines for tuning, lookbacks, and impact analyses, combining complex TM model components in a smart and efficient way.
• Perform end-to-end analyses, from intake and coding to visualisation and presenting insights to stakeholders.
• Design and build production-ready dashboards, covering both front-end and back-end, to support rule tuning, rule development, and insight into daily transaction monitoring detection.
Practical Examples of Your Work
• Estimating the impact of proposed parameter changes in the TM model on overall effectiveness and efficiency.
• Optimising workflows to enable tuning across a broader range of parameter combinations.
• Building dashboards in collaboration with platform squads and bringing them into production, such as:
• A TM rule performance dashboard to optimise detection rules
• An overview dashboard providing system-wide TM insights
• A transaction dashboard to support the development of new TM rules
Your Profile
• Hold a Master’s degree in a technical field
• Have 2+ years of experience performing data analysis in Python
• Have experience with PySpark, Databricks, Power BI, and building end-to-end solutions using repositories, version control, pipelines, and testing frameworks
• Are able to identify the real question behind a request and present results in a convincing and structured way
• Are precise, proactive, communicative, and business-oriented, with a strong can-do mentality
• Thrive in a high-impact, fast-paced, and complex environment
• Are motivated to fight financial crime by improving the effectiveness of transaction monitoring—not just by building complex models, but by delivering measurable impact
• Have excellent written and verbal communication skills in English
Functie-eisen:
Databricks
PySpark
Python Solliciteer nu!