Emma Scott
Senior Software Developer at Met Office
Exeter, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolEmma Scott is a Senior Software Developer with 11 years' experience building scalable, cloud-native systems and leading teams at organisations including the Met Office and Intuit. She combines full‑stack expertise (Java, Kotlin, TypeScript, React, GraphQL) with API design and data‑heavy cloud architectures that handle millions of daily requests. A certified Scrum Master and accessibility lead, she champions inclusive product design and autistic advocacy to ensure software serves diverse users. Emma also contributes to scientific open-source projects—improving test coverage and data parsing in the widely used SciTools/iris package—demonstrating a strong focus on code quality and reliability.
11 years of coding experience
3 years of employment as a software developer
BSc Computer Science (BCS Accredited), BSc Computer Science (BCS Accredited) at University of Greenwich
Github Skills (9)
data-analysis10
unit-testing10
iris-go10
iri10
python10
intersystems-iris10
testing10
regex9
earth-science8
Programming languages (8)
Github contributions (5)
SciTools/iris
Oct 2015 - Jan 2020
A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:6 commits, 15 PRs, 69 comments in 4 years 3 months
Contributions summary:Emma primarily focused on enhancing the quality of the `scitools/iris` repository by adding and modifying unit tests. Their work involved creating tests for file format parsing, specifically addressing issues related to the handling of cell methods and STASH codes. The user also removed an incorrect note from a unit conversion method. These changes indicate a focus on ensuring the accuracy and reliability of the codebase.
pythonvisualisationagnosticgribatmosphere
ehogan/iris
Sep 2015 - Dec 2019
A powerful, easy to use, and community-driven Python library for analysing and visualising meteorological and oceanographic data sets.
Contributions:1 PR, 38 pushes, 34 branches in 4 years 3 months
community-drivenpython-librarypythondata-sets
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