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Machine Learning 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
University of Cambridge
PhD, Machine Learning
January 1, 2010 – January 1, 2014
The Australian National University
BSc (Hons), Computer Science
January 1, 2006 – January 1, 2009
DeepMind
AI for Maths
January 1, 2019 – Present
University of Oxford
Guest Lecturer
October 1, 2017 – February 1, 2020
DeepMind
Applied ML for Google
September 1, 2017 – December 1, 2018
Research & Machine Intelligence
October 1, 2016 – September 1, 2017
Research & Machine Intelligence
October 1, 2015 – September 1, 2016
Beyond the fence
Machine Learning Consultant
October 1, 2014 – March 1, 2015
Amazon
Machine Learning Scientist Intern
July 1, 2013 – October 1, 2013
Greater Seattle Area
University of Cambridge
Twitter happiness map
November 1, 2010 – June 1, 2011
University of Cambridge
PhD Machine Learning
October 1, 2010 – October 1, 2014
Software Engineering Intern
November 1, 2008 – January 1, 2009
Sydney
Software Engineering Intern
November 1, 2007 – January 1, 2008
Greater Sydney Area
Cultural Fit Analysis
The candidate's background is heavily skewed towards advanced Machine Learning and AI research and development, with significant contributions to cutting-edge projects at DeepMind and Google. While this demonstrates exceptional technical prowess, their target role is 'Data Analyst'. This represents a significant mismatch in the typical scope and responsibilities. Their experience is far more aligned with a Senior ML Scientist, AI Researcher, or ML Engineer role. The lack of explicit data analysis projects or tools in their resume suggests a potential overqualification or a misalignment with the day-to-day tasks of a Data Analyst, which often involve specific BI tools, SQL, and statistical analysis beyond pure ML model development. Their project diversity is high within the ML/AI domain, but not necessarily across the broader data analytics landscape.
Soft Skills & Operational Fit
The candidate's experience as a lecturer and consultant at Google and Oxford suggests strong communication, mentorship, and problem-solving skills. Their leadership roles at DeepMind indicate initiative and the ability to drive complex projects. The diverse project portfolio, from academic research to industry applications and even a musical, points to adaptability and a broad operational fit for challenging, innovative environments.