Join Data & Analytics as Data Scientist and help build the next generation of data and AI-driven solutions.

Job Description:

What will you do?

This role sits at the intersection of business, data engineering, and AI innovation, where you will translate business problems into scalable data and AI use cases.

You will play a key role in designing, developing, deploying, and maintaining statistical (credit risk) models and AI solutions, with a strong focus on Databricks and modern cloud platforms (Azure).

Beyond traditional data science, you will actively contribute to AI solution design, leveraging tools such as Azure AI Foundry, LangChain, and LangGraph, enabling the business to unlock value through cutting-edge AI capabilities.

Responsibilities

1. Data Science & Modelling

Develop, deploy, and maintain statistical and machine learning models;
Ensure models are production-ready, explainable, and compliant;
Apply best practices in experimentation, validation, and testing;
Build and maintain solutions on Databricks, including pipelines and model deployment workflows;
Implement MLOps best practices to ensure scalability, reliability, and monitoring;
Collaborate with engineers to integrate models into the enterprise data platform.

2. AI & Advanced Analytics

Design and develop AI solutions using frameworks such as LangChain and LangGraph;
Work with Azure AI Foundry to build and operationalize AI use cases;
Translate business problems into technical AI solutions (know where to use AI and where not to);
Enable business teams with intelligent, scalable, and practical AI implementations.

3. Quality & Engineering Excellence

Treat testing as an integral part of development, including unit, integration, and data validation tests;
Ensure high-quality, production-grade code and solutions;
Maintain robust documentation for models, pipelines, and processes.

4. Collaboration & Architecture

Work closely with business stakeholders, data engineers, and architects;
Support architecture discussions by contributing best practices and technical insights;
Ensure solutions align with enterprise architecture and governance standards.

Your Team

You will be part of the Advanced Analytics team, a multidisciplinary team within the Data & Analytics department. The team’s mission is to enable the organization to deliver high-quality, scalable AI & data products using a modern cloud & data platform.

We work closely with domain teams across risk, retail, corporate banking, and finance to drive data-driven decision making and AI adoption at scale.

NIBC as an IT employer

NIBC IT consists out of several domains and together NIBC IT aims to be one of the driving forces behind the digital transformation of our bank, an ongoing process that will profoundly change the relationship with our clients and the way we do business. We are closely connected and have short lines of communication. If you have a good idea today, you may be elaborating it tomorrow. IT is forever changing and so is NIBC and in order for us to be able to keep on changing, we need sophisticated individuals to help us lead the bank into the future.

NIBC as organization

Founded in 1945 to finance the visionary entrepreneurs who helped rebuilding the Netherlands after the second World War, NIBC was closely collaborating while professionally supporting companies and individuals in realizing their dreams and goals with a sustainable future in mind. As a multicultural midsize bank with a working environment that is best described as dynamic and ambitious, we share a forward-thinking, can-do attitude with our employees and clients which we call our THINK YES mentality. Our corporate values are Professional, Adaptive, Collaborative and Entrepreneurial. You will have a direct and meaningful impact on both the bank and its clients. By building our company on optimism and mutual trust, and with our THINK YES mentality, NIBC is an enterprising bank that enables ambitions.

What’s in it for you?

NIBC is an ambitious environment where together we strive to create a fantastic workplace where you feel safe and challenged to be the best version of yourself. This is in line Professional, Adaptive, Collaborative and Entrepreneurial, since you are in the lead of setting the PACE of your career at NIBC. In addition, you receive a competitive salary, plus:

Several ways to support your development personally and professionally, a.o.: personal development budget to spend at your own discretion, professional budget provided by your manager to develop yourself in your work, In-house learning offering;
NIBC embraces the Hybrid way of Working. This means that we support working from home as well as encourage our colleagues to come to the office. NIBC's guideline is to spend at least half of the working time at the office;
Travel expenses or NS Business Card 1st class ;
32 holidays (which do not have to be registered);
Excellent pension scheme (26% NIBC contribution);
A voucher to improve your home office;
The opportunity to take ownership and show initiative in your role. We are always open to new ideas, and encourage to use your voice;
The nature of our Grow to Make a Difference program enables you to be in charge of your own development;
Two staff associations: YoungNIBC and MyLeisure;
Vitality program, annual company-wide sports & leisure days;
Monthly internet allowance;
Laptop and a company phone;
Excellent facilities at the office (Coffeecorner, Restaurant, Exchange bar);
Last but not least, a fun workplace in which diversity and inclusion is valued (click here).

What do you bring?

Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field;
5+ years of experience in Data Science, AI, or MLOps roles;
Proven experience in developing, deploying, and maintaining statistical and machine learning models;
Strong proficiency in Python, with experience writing production-grade code;
Experience with Spark is a pre;
Hands-on experience with Databricks, including model development, jobs, pipeline orchestration, and deployment workflows;
Experience working with cloud platforms (preferably Azure) and modern data architecture.

We are looking for someone who:

Has a “can-do” mentality and focuses on solutions rather than problems;
Takes ownership of quality and does not compromise on deliverables;
Treat testing and validation as core responsibilities;
Is a strong team player, collaborating effectively across teams;
Communicates clearly with both technical and non-technical stakeholders;
Thinks proactively about innovation and continuous improvement;
Embraces AI and continuously finds ways to enhance personal and team productivity.

Still intrigued?

Click the apply button now! To upload multiple documents, click the upload button again after uploading a document. An assessment may be part of the application procedure. For more information about the recruitment procedure or NIBC as employer you may contact our HR Servicedesk via AskHR@nibc.com

Applications via email will not be taken into consideration.

NIBC Bank

Vacatures

Data Scientist