• Data Exploration:Explore and examine data from multiple diverse data sources to surface patterns and insights.

• Modeling & Analysis:Conduct conceptual modeling, statistical analysis, predictive modeling, and optimisation design.

• Data Engineering:Help build workflows for extraction, transformation, and loading of data and link them to existing systems and datasets.

• Data Cleanup:Carry out data cleanup, normalisation, and transformation to prepare datasets for production use.

• Hypothesis Testing:Develop hypotheses and test them with careful experiments to validate model behaviour.

• Project Ownership:Take ownership of one or more LAB topics such as automated market commentary or generative modelling for model control.

• Data Security:Ensure the integrity and security of data handled within the lab.