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Investment Director at Samsung Ventures
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Udacity
Machine Learning Engineer Nanodegree
January 1, 2016 – January 1, 2016
University of Cambridge
PhD, Physics
January 1, 2008 – January 1, 2012
University of Bristol
MSci, Physics with Industrial Experience
January 1, 2004 – January 1, 2008
The Grammar School, Limassol, Cyprus
High School
January 1, 1997 – January 1, 2004
Samsung Ventures
Senior Investment Director
April 1, 2023 – Present
Greater London, England, United Kingdom · Hybrid
Vickers Venture Partners
Associate Director
July 1, 2019 – April 1, 2023
London Area, United Kingdom
Monitor Deloitte
Senior Data Science Consultant
January 1, 2017 – July 1, 2019
London · On-site
StrategicFit
Associate Consultant
January 1, 2014 – October 1, 2016
London Area, United Kingdom
University of Cambridge
Post-doctoral researcher
July 1, 2013 – September 1, 2013
Greater Cambridge Area
Sharp Laboratories of Europe
Research Intern
July 1, 2006 – June 1, 2007
Greater Oxford Area
BVCA VC Foundation
British Private Equity
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning academic research, strategy consulting, and venture capital. While the target role is ML Engineer, a significant portion of recent experience is in investment and business development, which might indicate a different career trajectory or interest. The transition from a deep technical background (PhD Physics, Data Science Consultant) to venture capital and then back to an ML Engineer role could suggest adaptability but also a potential misalignment with a purely hands-on engineering culture. The lack of specific ML projects or contributions in recent roles makes it difficult to fully assess cultural fit for a dedicated engineering team.
Soft Skills & Operational Fit
The candidate's experience as a Senior Investment Director and Associate Director in venture capital, along with establishing a London office, suggests strong leadership, strategic thinking, and business development skills. The role as a Senior Data Science Consultant also indicates client-facing and team leadership abilities. These experiences suggest a strong operational fit for roles requiring strategic oversight and cross-functional collaboration, though direct ML operational experience is not explicitly detailed.