Data Scientist II

techniques to solve business problems. Maintain and improve existing data science pipelines. Derive insights from analysis of large internal or external data sets and recommend potential business uses. Interact with the business to understand their needs and requirements. Prepare and deliver presentations and visualisations, making actionable and business focused recommendations for improvement. Work collaboratively within the team and share best practices. About You Masters+ in Statistics, Engineering, Mathematics or Computer Sciences. 3+ year’s work experience in a Data Science role. Proven experience using Python and Deep Learning required. Experience with GenAI and RAG required. Ability to work on multiple projects at the same time. Able to apply analytical problem solving, make recommendations, and implement improvements continuously in a dynamic environment. Communicate clearly and concisely to both technical and non-technical audience. Good understanding of machine learning models and data science process (feature engineering, modelling, etc.) required. Proficient in using code or analytical tools for modelling, visualisation, data manipulation and processing. Preferred Experience: Experience using API frameworks to perform OCR or call LLMs Dealing with unstructured data Working in an MLOPS or agile environment (Sprints, Kanban, code versioning) Working with cloud service (Preferably Azure) This recruitment campaign will be used to support permanent, temporary and/or extension for any upcoming similar positions. Benefits: Work From Home