Data Scientist Job Den Haag Netherlands,IT/Tech

Summary

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, Lang Chain, and Lang Graph, enabling the business to unlock value through cutting‑edge AI capabilities.

Responsibilities

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.

AI & Advanced Analytics

Design and develop AI solutions using frameworks such as Lang Chain and Lang Graph.
Work with Azure AI Foundry to build and operationalize AI use cases.
Translate business problems into technical AI solutions.
Enable business teams with intelligent, scalable, and practical AI implementations.

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.

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.

Qualifications

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 and Databricks, including model development, jobs, pipeline orchestration, and deployment workflows.
Experience working with cloud platforms (preferably Azure) and modern data architecture.
Has a “can‑do” mentality and focuses on solutions rather than problems.
Takes ownership of quality and does not compromise on deliverables.
Treats 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.

Benefits

Competitive salary.
Personal development budget and professional budget for skill growth.
In‑house learning offering.
Hybrid work model with support for working from home and office presence.
Travel expenses or NS Business Card 1st class.
32 holidays (not required to be registered).
Excellent pension scheme (26% NIBC contribution).
Voucher to improve home office.
Opportunity to take ownership and show initiative.
Grow to Make a Difference program for personal development.
Staff associations:
Young

NIBC and MyLeisure.
Vitality program, annual company‑wide sports & leisure days.
Monthly internet allowance.
Laptop and company phone.
Excellent facilities at the office (coffee corner, restaurant, Exchange bar).
Diversity and inclusion valued.

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