Impactful Data Scientist: Policy & Analytics Leader (UK)

Office for National Statistics

Newport

On-site

GBP 50,000 - 70,000

Full time

8 days ago

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Job summary

The Office for National Statistics in Newport, Wales, is seeking data scientists to join our team and help transform the statistical landscape of the UK. You will apply your skills to solve complex challenges, leverage diverse data sources, and deliver insights that shape policy and drive innovation.

You will collaborate on code, perform exploratory data analysis, apply statistical tests, and contribute to data engineering efforts while aligning with Agile delivery practices to ensure timely

Qualifications

  • Proficiency in scripting languages and modeling.
  • Experience applying exploratory data analysis and statistical testing to datasets.
  • Ability to collaborate with data engineering to cleanse and prepare data and build reusable pipelines.
  • Familiarity with Agile and waterfall delivery methods and their appropriate use.

Responsibilities

  • Program & build data science scripts; write and test models and collaborate on shared code bases.
  • Apply applied maths, statistics and scientific practices, including exploratory data analysis and hypothesis testing.
  • Data engineering: identify tooling and processes to cleanse and prepare data, enabling reusable pipelines.
  • Understand product delivery: compare Agile vs waterfall and propose the best method to deliver each product.

Skills

Programming
Statistics
Data engineering
Agile delivery

Job description

The Office for National Statistics in Newport, Wales, is seeking data scientists to join our team and help transform the statistical landscape of the UK. You will apply your skills to solve complex challenges, leverage diverse data sources, and deliver insights that shape policy and drive innovation.

You will collaborate on code, perform exploratory data analysis, apply statistical tests, and contribute to data engineering efforts while aligning with Agile delivery practices to ensure timely

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