Overview
We are seeking a Data Scientist to join a multidisciplinary team within a UK government department focused on utilizing data to inform impactful decisions affecting millions of people. In this role, you will collaborate with data engineers, analysts, and subject-matter experts to explore extensive datasets, build statistical and machine learning models, and translate technical outcomes into clear insights for non-technical audiences, all while adhering to high standards of engineering practice.
Responsibilities
- Explore large, messy administrative datasets to assess their usability for specific questions.
- Build statistical and machine learning models, including natural language processing on free text records.
- Write clean, version-controlled code in Python or R that is easily readable and extensible by colleagues.
- Query and shape data using SQL on Amazon Athena and S3.
- Collaborate with data engineers to define the features, tables, and pipelines required by your models.
- Translate analytical results into clear outputs, including briefings and interactive dashboards, for non-technical stakeholders.
- Quality assure your work and others' through code reviews, testing, and peer checks.
Requirements
- Proficiency in Python or R for analysis and modeling, including libraries like pandas and scikit-learn or tidyverse and tidymodels.
- Confident SQL skills for working with large datasets.
- Experience with AWS applications, particularly Athena, S3, or SageMaker.
- A practical understanding of machine learning and statistical methods with knowledge of their appropriate applications.
- Familiarity with Git-based workflows, emphasizing code review and reproducible analysis.
- Ability to explain technical findings to senior and non-technical stakeholders.
- Eligibility for SC clearance.