Collaborate closely with key stakeholders and a team of data scientists
Design and implement new project code and MLOps frameworks for the deployment of models in production
Build machine learning models for financial / investment company
Partner with client teams to identify opportunities where data science could add value, helping generate demand and shape a roadmap for future work
Monitor existing productionised pipelines, addressing any issues in a timely manner to ensure smooth and continuous operation

Thorough knowledge of the Python language
Experience in training, tuning and refining ML models in Python (mainly scikit learn and tree based models) (Core ML)
Working understanding of end to end machine learning pipelines
MLOps and DevOps frameworks
Daily use of GitHub, including version control, collaboration, testing and CI/CD
Superb written and verbal communication skills and demonstrated ability to communicate complex technical and statistical ideas to non-specialists effectively
Experience in cloud platforms such as Azure, AWS, and Databricks (Fabric / Azure nice to have)
Nice to have: Financial / Investment understanding, experience with cashflow & pricing models.

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Data Scientist, Python – MLOps

Key skills