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Alastair Gill

Head of Data Science
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Email: ****l@ometria.com
LinkedIn: Alastair Gill
Location: London, England, United Kingdom
Current employer: Enstar Group
Current title:
Head of Data Science
Last updated: 01/06/2026 20:35 PM
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About

Alastair Gill is from London, England, United Kingdom. Alastair is currently Head of Data Science at Enstar Group, located in London Area, United Kingdom. Alastair also works as Principal Data Scientist at GFT Technologies, a job Alastair has held since Jan 2023. Another title Alastair currently holds is Lead Data Scientist at Ometria.

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Alastair Gill's current jobs
Company: Enstar Group
Title: Head of Data Science
Period: Jan 2026 - Present (5 months)
Location: London Area, United Kingdom
Company: GFT Technologies
Title: Principal Data Scientist
Period: Jan 2023 - Present (3 years, 5 months)
Location: Greater London
Company: Ometria
Title: Lead Data Scientist
Period: Jan 2020 - Present (6 years, 5 months)
Location: London, England, United Kingdom
Company: Founders Factory
Title: Contract Data Scientist
Period: Jan 2020 - Present (6 years, 5 months)
Location: London, England, United Kingdom

Built entity extraction and dependency parsing components to monitor financial discussions for fintech start up.

Company: MAANA
Title: Senior Data Scientist
Period: Jan 2018 - Present (8 years, 5 months)
Location: London, United Kingdom

I worked with customers across industries to augment human ability using data science and AI technologies.

Title: Senior Data Scientist
Period: Jan 2016 - Present (10 years, 5 months)

I headed up Data Science and managed the Data Science and BI team at NTT DATA UK. I worked with the business and a range of clients including financial, telco, and retail industries to develop and implement analytics and machine learning solutions.

Company: Faculty
Title: Data Science Fellow
Period: Jan 2016 - Present (10 years, 5 months)
Location: London, United Kingdom

A highly selective and intensive 8-week post-doctoral fellowship. I used this to demonstrate skills in SQL, Python, R especially using large data sets from multiple sources; Used a variety of machine learning techniques (e.g. random forests) to predict customer churn for a large web-based company; achieved 2.5x improvement over previous models

Title: Text Mining / Statistics Lecturer (p/t)
Period: Jan 2012 - Present (14 years, 5 months)
Location: London, United Kingdom

Taught Ph.D courses: Introduction to Statistics/Quantitative Research Methods; Computational Text Analysis.

Title: Research Fellow
Period: Jan 2009 - Present (17 years, 5 months)

Principal researcher responsible for design and day-to-day running of the research programme: I planned data collection and analysis to understand collaborative behaviour and the software requirements of scientists. I also assisted with the management and coordination of the project.

Company: Freelance
Title: Independent Data Science consultant
Period: Jan 2004 - Present (22 years, 5 months)

Worked on a number of projects to provide natural language processing and data mining/modelling expertise: · King's College, London (September, 2017 - July, 2018) Worked with the Policy Institute to mine unstructured data in the life sciences. · Careers Advisory Service (CRAC), Cambridge (August – December, 2016) Mined unstructured data to advise Director on staff wellbeing and equality policies in higher education. · Facebook, Palo Alto, CA (May 2012) Hosted by the Data Science team to exchange best practice and to explore collaboration. · Wikimedia Foundation, San Francisco, CA (May 2011 – Sept 2012) Worked with the Product Development Team to analyse data from user-engagement experiments to better understand motivation and participation in Wikipedia. · Oxford University, Internet Institute/University of Bath, Management School (May 2010 – May 2011) Partnering with the project manager, I designed and implemented the development of the Privacy Dictionary text analysis tool from inception through to its release and publication of validation studies · Enterprise IG/WPP, London (Brand language and personality strategy) (August 2006) Developed a framework white paper manual to apply my research in personality and language analytics to existing concepts of personality types used in marketing. · Cornel University, NY (November 2004) Analysed unstructured data; advised Information Science researchers on text mining; guest lectured.

Alastair Gill's top skills
Natural Language Processing Machine Learning Data Mining Artificial Intelligence Text Mining Information Retrieval Computer Science LaTeX Computational Linguistics Human Computer Interaction Semantic Web R Python Pandas Mallet Linux Scikit-Learn SQL PostgreSQL HTML
Alastair Gill's Colleagues
IM
Isabella McKeon
VP Sales, North America
London, England, United Kingdom
SK
Sam Kempner
Director of Sales, UK & EMEA
London, England, United Kingdom
LC
Lawrence Chinamulungu
Director Of Business Development
London, England, United Kingdom
KF
Kiyan Foroughi
Investor
London, England, United Kingdom
IM
Ivan Mazour
CEO and Founder
London, England, United Kingdom
Alastair Gill has 141 colleagues in total at Ometria. You can find all of them in FinalScout.
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