Data Scientist (Python+MLOps)

Please note that for this role, you must be based in the UK, Malta, Bulgaria, or Portugal. About us Ascent has recently been acquired by Acuity Analytics . This is both a significant milestone for us and a tremendous opportunity for you. Acuity Analytics is a business with a strong global reputation, an impressive client base and ambitious growth plans. We deliver deep insights and domain-led digital transformation to high-growth and heavily regulated organisations. To our customers, we bring a partnership that provides the talent, technology and capability to enhance performance and operational efficiency. About the role In this role you’ll work on the design and implementation of deploying models into production, ensuring robust and maintainable pipelines. You’ll collaborate closely with stakeholders, building strong relationships to understand their challenges and translate complex data problems into practical, impactful solutions. We’re looking for someone with strong expertise in Python, machine learning and MLOps, who can combine technical rigor with a consultative mindset. You’ll act as a trusted advisor, identifying opportunities where data science can add value, shaping roadmaps and raising the profile of Data Science in the wider business. This role blends hands-on implementation, operational excellence and strategic collaboration to deliver measurable business outcomes. Skills and Experience required Skills and Experience 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 What you will do 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 Why join us People are at the Heart of our Business. By investing in people, we achieve exceptional results for our clients and create new opportunities for our teams to thrive. Check out this page for more details.