€5k - €6k
Jobs in the Netherlands, in English.
39,000+ live jobsMedior Data Scientist
Hybrid in Utrecht·Full-time·Added yesterday (last checked 12 Nov)
Our summary
- Salary
- €4,552 - €6,070 a month
- Work mode
- Hybrid, Utrecht
- Contract
- Full-time
- Languages
- Dutch




Skills
This job advert was originally written in Dutch.
Requirements
What we're looking for
- A completed HBO/WO degree in Data Science, Artificial Intelligence, Statistics, or a related field
- Knowledge of and experience with Python and knowledge of and experience with statistics, ML/AI models, and feature engineering
- Experience with analyzing and cleaning datasets in a structured manner (for example, via data pipelines)
- Knowledge of and experience with PySpark, Linux, Git, Bash, and Cloud (preferably AWS) and experience in applying responsible/explainable AI
Nice to have
- Affinity with and interest in the AFC domain
- You are inquisitive and interested in the latest developments in AI and AFC and you can analyze complex problems and love a technical challenge
- You have a flexible mindset and know how to adapt to changing circumstances and you are involved, social, and a true team player
Pay & benefits
What you'll get
This is what you get from us
This position falls into scale 9 with a salary range between € 4,552.48 and € 6,069.97 gross per month based on 36 hours per week. Additionally, you can count on:
- A 36-hour work week that can be flexibly scheduled
- 8% holiday allowance and a 13th month, at a time that suits you
- Based on full-time employment: 208.8 hours of leave per year
- A good collective pension scheme
- € 750 per year to continue developing yourself (to save up to € 3,000)
- Every 5 years € 900 to get your home working space completely in order again
- An NS-Business Card and a mileage allowance if you come by bicycle
Curious about the rest? Read more about our employment conditions here.
The role
As a Data Scientist Anti-Financial Crime, you will actively contribute to maintaining the integrity of ASN bank's customers. You build (AI-)models and perform analyses that contribute to the reliability of the financial system. Your insights ensure that we combat financial crime effectively. In this way, you make a positive impact on society through your work.
What you'll do
You will work on AI solutions that can be deployed in the field of Anti Financial Crime (AFC). Think of the development of models for transaction monitoring (TM), Know Your Customer (KYC), processing sanctions legislation, and more. You develop and optimize solutions that make banking at ASN safer for hundreds of thousands of customers. In practice, you will work on the following:
- As part of the team, you develop AI models and data solutions. You are involved in the entire process, from working out the use case and developing the model design, to implementing and monitoring the model.
- By mastering the large amount of customer and transaction data, you will quickly be able to extract valuable insights from it.
- In doing so, you build the data pipelines and models required to run the solution, from retrieving data from a source table to delivering the final result of your model.
- You apply your knowledge in the fields of data, models, and AI to enable informed choices about models within AFC.
- You keep an eye on new developments in the fields of AI and Data Science, and you will have the opportunity to share this knowledge with colleagues both internally and externally.
- At ASN Bank, you get the freedom and the responsibility to shape your work in your own way. You are the owner of your solutions, from the first analysis to a working model in production. You work together with fellow professionals within the bank and exchange knowledge with your colleagues.
What you bring
You are inquisitive and interested in complex data issues. You understand data and can make the translation from use case, to data needs, to a working AI model within the AFC domain. You inspire your colleagues and lift the entire team to a higher level by bringing new and surprising insights to the table.
Together with your colleagues, you strive for neat AI solutions that truly make an impact within the AFC domain. You find it important that our financial system is reliable and that our customers are protected against financial crime. You proactively identify opportunities for improvement and take action. Through your enthusiasm, you engage others and you enjoy sharing your knowledge with colleagues.
About us
ASN Bank is an accessible and progressive bank with an eye for people, society, and the future. We contribute in a sustainable manner to financial solutions for our customers and to social issues in the Netherlands. In doing so, we pay special attention to sustainability, financial well-being, and good housing. As a bank, we combine the convenience of secure mobile banking with the power of personal advice. Thanks to our nationwide network of offices, we are also physically close at the moments that matter.
Become our colleague
Are you committing yourself to tomorrow? Then apply to ASN Bank today. Upload your motivation and CV, and we will contact you quickly. The application procedure consists of two interviews and an assessment. For more information, you can contact Monique Visser, corporate recruiter, via monique.visser@asnbank.nl
About ASN Bank
- Industry
- Banking
In their own words
About the company & team
You are part of the AI for Client Integrity (AIKI) team within the Innovation and Client Remediation (I&CR) department of the Anti-Financial Crime domain. You work in a team of data scientists and engineers who perform advanced analyses and develop AI models to combat Financial Crime. Additionally, you work together with the value teams that use the results of your models and analyses in operations.
AIKI is a close-knit, inquisitive, and ambitious team. We keep each other sharp, but there is also room for humor and honesty. The atmosphere is informal, innovative, and entrepreneurial, with the primary goal of making an impact with our work. The team meets at the office in Utrecht one or a few days a week to brainstorm, build, and celebrate successes, but there is certainly also room to work from home.
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