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Research Engineer at Deepmind
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data scientist/engineer from a physics background. Favourite algorithms, in order: convolutional network, gaussian process, gradient boosted trees. Languages: Python / Scala. Have built systems using MongoDB / PostgreSQL / AWS / EC2 / Apache Spark / Docker. Github: https://github.com/oscarknagg Blog: https://medium.com/@oknagg (moving to https://oscar.kna.gg)
University of Toronto
Natural Sciences (Exchange student), Physics
January 1, 2014 – January 1, 2015
UCL
Natural Sciences MSci, Condensed Matter and Materials Physics
January 1, 2012 – January 1, 2016
Bristol Grammar School
A Levels, A Levels
January 1, 2005 – January 1, 2012
DeepMind
Research Engineer
October 1, 2022 – Present
London, England, United Kingdom
G-Research
Data Science Engineer
April 1, 2021 – October 1, 2022
London, England, United Kingdom
Busuu
Senior Data Engineer
July 1, 2020 – April 1, 2021
Busuu
Data Engineer
June 1, 2019 – June 1, 2020
Metis Labs
Machine Learning Engineer
July 1, 2018 – May 1, 2019
London, United Kingdom
Wandera
Machine Learning Analyst
August 1, 2016 – June 1, 2018
London, United Kingdom
The Student Tutors Group
Private Tutor
October 1, 2015 – June 1, 2016
London Centre for Nanotechnology
Summer Research Student
June 1, 2014 – August 1, 2014
Divide and Conquer, Sorting and Searching, and Randomized Algorithms
Coursera
June 24, 2026 – Present
Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has worked in diverse environments, from startups (Busuu, Metis Labs, Wandera) to research-focused organizations (DeepMind, G-Research), indicating adaptability. The progression from Data Engineer to Senior Data Engineer and then to Research Engineer/Data Science Engineer suggests a continuous learning mindset and ambition. The academic background in Natural Sciences and Physics, combined with practical ML experience, aligns well with a data-driven, research-oriented culture. The lack of explicit project details beyond job descriptions limits a deeper cultural fit analysis.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight problem-solving, automation, and optimization, suggesting a strong operational fit. The roles at Busuu and Wandera indicate an ability to work on impactful projects and improve existing systems. However, without specific psychometric or English test results, a detailed assessment of soft skills and direct operational fit beyond technical contributions is limited.