Data Scientist

About the role

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

• 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 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.
• 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.
• NIBC as an IT employer
• NIBC as organization
• What's in it for you?
• 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 yo

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