emerging trends and technologies in the field of data science. Requirements Proven experience as a data scientist using Python and a range of libraries (Numpy, Pandas, Scikit-Learn, Matplotlib, Plotly etc.). Strong expertise in statistical modelling, machine learning, and data mining techniques. Experience in computer vision is essential. Data engineering (pipelines, databases, infrastructure), ideally with AWS experience would be More ❯
to analysts. Provide day-to-day problem-solving support and proactively share best practices. Develop efficient, resilient, and innovative solutions using modern data analytics technologies (e.g., Dataiku, Power BI, Plotly Dash). Partner with analysts to create custom interactive dashboard visualisations. Design and build scalable, reusable components and frameworks aligned with mandated architectures. Adhere to software development best practices for … Oriented Programming and designing maintainable classes using design patterns. Working knowledge of SQL and relational databases. Familiarity with cloud computing concepts, preferably AWS. Experience with data visualisation tools (e.g., Plotly, Dash, Power BI). Understanding of web services and integration with REST APIs. Knowledge of software development best practices, including unit testing, version control (Git), build patterns, and deployment pipelines. More ❯
