CD pipelines and Docker containerisation for ML model development/deployment. Data preprocessing and feature engineering expertise. Programming skills in Python and ML frameworks (TensorFlow, Torch, scikit-learn). Statistical analysis and model evaluation capabilities. Previous experience in the banking sector is mandatory. Some other highly valued skills may include: Experience with experiment tracking and model registry tools (MLflow More ❯
career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statisticalmodelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods More ❯
Demonstrable experience working either as a product lead or in a related role, with a track record delivering on a variety of complex data-driven projects. Experience working with statistical models and algorithms. Experience with simulation and analysis tools in the built environment. Ability to research, horizon-scan and validate new ideas and technologies. Self-awareness, an open mind More ❯
