> Markdown version of [/jobs/ext/1199538-senior-data-scientist](https://www.wearedevelopers.com/jobs/ext/1199538-senior-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** ACE - **Location:** Amsterdam, Netherlands - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Graph Database, Python (Programming Language), Machine Learning, Azure Active Directory, Machine Learning Operations, Software Version Control, Serverless Computing - **Published:** July 8, 2026 - **Apply:** https://www.nationalevacaturebank.nl/vacature/6eb5a1b1-0475-43ef-bf41-a919805ac990/senior-data-scientist ## About the Role + 6+ years of relevant experience with 3+ years of professional experience in applying GenAI and broader machine learning techniques; + Hands-on experience with Python and established GenAI frameworks/standards/workflows (e.g. LangChain); + Ability to work independently and as part of a broader team, and take ownership of your code and delivery, with the confidence to raise concerns early when you foresee blockers or challenges; + Pragmatic instinct for when speed matters most and when depth does, and the judgement to switch between them; + Hands-on experience with LLMOps practices: deploying LLM applications behind secure APIs, building evaluation and regression pipelines, prompt and version management, and production observability; + Experience with responsible AI practices such as PII filtering, hallucination and bias mitigation, and output guardrails; + Proven ability to play a senior role in projects and to provide guidance to juniors in the team; + Strong communication skills, both verbal and written, in English, with the ability to adjust your style to suit different perspectives and seniority levels. Nice-to-Have + Experience implementing knowledge graphs; + Familiarity with Azure stack: Azure Functions, Container Apps, etc.; + Familiarity with the financial services sector and regulatory frameworks related to AI ethics, privacy, and data protection; + Consulting experience. These requirements give a direction of the profile we are looking for. If you do not meet all requirements, but feel you are a good fit, we invite you to apply. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Serverless: Past, Present and Future](https://www.wearedevelopers.com/videos/34-serverless-past-present-and-future) - [How E.On productionizes its AI model & Implementation of Secure Generative AI.](https://www.wearedevelopers.com/videos/623-how-e-on-productionizes-its-ai-model-implementation-of-secure-generative-ai) - [Graphs and RAGs Everywhere... But What Are They? - Andreas Kollegger - Neo4j](https://www.wearedevelopers.com/videos/1311-graphs-and-rags-everywhere-but-what-are-they-andreas-kollegger-neo4j) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)