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Applied Science Manager
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Imperial College London
Master’s Degree, Business Analytics, specialising in Machine Learning
January 1, 2015 – January 1, 2016
University of Madras
Bachelor of Engineering (BEng), Electronics and Communications Engineering
January 1, 2000 – January 1, 2003
Amazon
Applied Science Manager, Prime Video and Studios AI Labs
July 1, 2025 – June 1, 2026
Amazon
Applied Science Manager, Alexa+ AI
August 1, 2024 – July 1, 2025
Amazon
Applied Science Manager, Artificial General Intelligence
January 1, 2023 – August 1, 2024
Amazon
Applied Science Manager, Alexa
June 1, 2020 – January 1, 2023
Lloyd's Register
Principal Scientist | Head of Data Science
July 1, 2019 – June 1, 2020
London, United Kingdom
Tesco
Machine Learning Scientist
June 1, 2016 – June 1, 2019
Allstate
Manager (Principal) - Customer Data & Product Technology | Insurance, Financial Services
January 1, 2010 – September 1, 2015
Allstate
Senior Data Consultant, Customer Data & Insights | Insurance, Financial Services
October 1, 2006 – December 1, 2009
Alan Turing Institute - Data study group
May 1, 2017 – May 1, 2017
HSBC - Synthetic data generation - algorithmic approaches
LEK Consulting - Internship
April 1, 2016 – May 1, 2016
Data Science - ML algorithm implementations
Dunnhumby - Research Assistant (Scholarship)
September 1, 2015 – May 1, 2016
Pricing and Promotion Optimization
Cultural Fit Analysis
The candidate has a diverse background spanning large tech companies (Amazon), consulting (LEK), retail (Tesco), and financial services (Allstate), indicating adaptability to various organizational cultures. Their involvement in research (Dunnhumby, Alan Turing Institute) suggests a continuous learning mindset and engagement with academic communities. However, the target role is 'Data Analyst', which is a significant shift from their recent 'Applied Science Manager' and 'Principal Scientist' roles. While they possess strong analytical skills, the alignment with a pure 'Data Analyst' role, which typically involves less direct ML/AI model development and more data extraction, transformation, and reporting, might be a mismatch for their senior-level, applied science leadership experience. This could lead to potential overqualification or a desire for more advanced, research-oriented work than a typical Data Analyst role offers.
Soft Skills & Operational Fit
The candidate's career progression into management roles at Amazon (Applied Science Manager) and previous leadership at Lloyd's Register (Principal Scientist | Head of Data Science) suggests strong leadership, strategic thinking, and operational management skills. The descriptions of their work on Named Entity Recognition, Personality and Emotional intelligence for Alexa+, and Action and Knowledge grounding for LLMs indicate an ability to tackle complex, cutting-edge problems and drive significant initiatives. However, without specific project details or behavioral assessment data, it's difficult to fully assess collaboration, stress handling, or detailed communication styles.