GenAI Data Scientist with MLOps Skills

emagine are currently looking for an experienced GenAI Data Scientist for one of our financial clients. The role is centered around enhancing GenAI data science initiatives by providing thorough business and technical analyses, facilitating agent definitions and orchestration, and improving overall modeling, evaluation, and deployment practices within the organization. Responsibilities:

• Work with GenAI modeling for agentic solutions and implement these solutions into production environments.
• Define and apply evaluation and validation methods while supporting architectural decisions for ongoing quality enhancement.
• Enhance MLOps, monitoring, reproducibility, and performance best practices to drive effective solutions.
• Collaborate with business analysts, software engineers, and other data scientists, aligning efforts with business stakeholders to speed up delivery and enhance capabilities.
• Document and develop domain expertise in credit within the financial sector, with an emphasis on AWS and Databricks.

Requirements:

• Experience in GenAI modeling techniques and production-level implementations.
• Familiarity with evaluation methods and frameworks relevant to data science.
• Strong knowledge of MLOps practices and performance monitoring.
• Proven ability to collaborate within cross-functional teams.

Nice to have:

• Experience or knowledge of the financial sector, particularly in credit.
• Familiarity with cloud platforms like AWS.
• Experience with Databricks or similar data engineering tools.

Start: October 1st 2026 Duration: 3 months Workload: Full time + onsite Location: Copenhagen