Data Scientist - AWS - ML - NLP - Python/R - SC Eligible

The Role:

• Exploring large, messy administrative datasets and judging whether they can answer the question being asked
• Building statistical and machine learning models, including NLP on free-text records where it helps
• Writing clean, version-controlled Python or R that colleagues can read, rerun and extend
• Querying and shaping data with SQL on Amazon Athena and S3
• Working with data engineers on the features, tables and pipelines your models depend on
• Turning results into clear outputs for non-technical audiences, from short briefings to interactive dashboards
• Quality-assuring your own and others' work through code review, testing and peer checks

Data Scientist - AWS - ML - NLP - Python/R - SC Eligible Key Skills:

• Strong Python or R for analysis and modelling (pandas, scikit-learn, or tidyverse and tidymodels)
• Confident SQL on large datasets
• Experience on AWS, especially Athena, S3 or SageMaker
• A practical grasp of machine learning and statistical methods, including when not to use them
• Git-based workflows, with code review and reproducible analysis as normal practice
• Explaining technical findings to senior and non-technical stakeholders
• Eligible for SC clearance

Nice to have:

• Working in JupyterLab or RStudio on a shared cloud platform
• NLP or text classification
• Building apps or dashboards (Shiny, Streamlit or similar)
• Experience in the public sector or another highly regulated setting where data protection and auditability matter