Data Scientists – GenAI & Machine Learning | Detecting Financial Crime (DFC)

Data Scientists – GenAI & Machine Learning | Detecting Financial Crime (DFC)Help build the next generation of AI in financial crime detectionAt Detecting Financial Crime (DFC), we are accelerating a new wave of AI-driven applications. Building on our GenAI Acceleration plan, we are moving beyond traditional automation towards intelligent, GenAI- and agentic-based systems that fundamentally change how work gets done and how decisions are made.The focus is on tangible business value: less manual effort, higher quality and consistency, and faster, better-informed decisions. By scaling GenAI use cases, advancing Transaction Monitoring data science, and building a future-ready agentic AI architecture, we are shaping a more proactive, data-driven way of working.To realize this ambition, we are expanding our multidisciplinary teams with data scientists who want to build, scale, and innovate at pace. Together, you work on high-impact use cases and lay the foundation for a scalable AI ecosystem within DFC.What you will deliverConcretely, you develop and train machine learning models and LLMs that realize the pre-defined business value within DFC.Who we are looking forTwo profiles, eight FTE in total: 6 data scientists focused on machine learning and 2 focused on GenAI use cases.Profile (GenAI-focused)A master's degree or PhD in computer science, data science, or a related field, with at least 5 years of work experience as a Data Scientist and at least 2 years with GenAIExperience working with unstructured data and transforming it for GenAI application designExperience with Azure AI services and the trade-offs between different GenAI modelsFamiliar with frameworks and concepts relevant to GenAI and NLP (e.g. RAG, DSPy, LangChain, agents, NLP classification problems, topic modeling)Up to date with recent developments in machine learning, knowledge of IT architecture, and experienced in Python, preferably also skilled in PySpark, GIT, and AzureWork experience within the FEC/KYC/CDD/AML domain is beneficialProfile (Machine Learning-focused)A master's degree or PhD in computer science, data science, or a related field, with 3–5 years of work experience as a Data ScientistExperience developing machine learning models in a big data environment and productionizing themUp to date with recent developments in machine learning, knowledge of IT architecture, and experienced in Python, preferably also skilled in PySpark, GIT, and AzureWork experience within the FEC/KYC/CDD/AML domain is beneficialAdditional informationThis is a temporary position until the end of March 2027, for 36 hours per week. The salary ranges from €10,500 to €11,500 per month, depending on profile and experience.Interested? Send your resume to Annebeth.velema@brightstonegroup.nl