Data Scientist

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

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.

• 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.

• 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 (know where to use AI and where not to);
• Enable business teams with intelligent, scalable, and practical AI implementations.

• 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.

• 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.

• Several ways to support your development personally and professionally, a.o.: personal development budget, professional budget provided by your manager, in‑house learning offering;
• NIBC embraces the hybrid way of working, encouraging time at the office and at home, with at least half of the work time spent in 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;
• 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 (Coffee corner, Restaurant, Exchange bar);
• A fun workplace in which diversity and inclusion is valued.

• 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;
• 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;
• 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;
• 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.