Apply statistical and machine learning techniques to analyse large datasets.

Develop predictive models and algorithms to solve business problems.

Interpret and communicate findings to non-technical stakeholders.

Support environment and climate statutory reporting.

Create and optimise data models and ETL processes.

Ensure data accuracy, consistency, and integrity.

Manage client's GIS platform.

Economics background is a MUST

Using R, Python and SQL to query, analyse and model data in software or digital applications/ products.

Using machine learning methods (e.g. deep learning, gradient boosted vectors) to solve business or policy issues/problems.

Designing, developing, and implementing database or Datalake schemas and pipelines in a cloud platform (e.g. Snowflake, Amazon Web Services, Microsoft Azure, Databricks).

Dictating database design or data model requirements