Alastair Pate
About Alastair Pate
Alastair Pate is an Associate Director of Data Science at Exscientia, where he has worked since 2022. He has extensive experience in data science and analytics, with previous roles at organizations such as HSBC, Merck, and the University of Dundee.
Current Role at Exscientia
Alastair Pate serves as the Associate Director of Data Science at Exscientia, a position he has held since 2022. In this role, he applies his extensive knowledge in data science to lead projects and initiatives that drive innovation within the organization. His responsibilities include overseeing data analysis and machine learning projects, ensuring that the team utilizes advanced methodologies to achieve organizational goals.
Previous Experience at Exscientia
Alastair Pate previously worked at Exscientia as a Data Scientist from 2018 to 2021 and as a Senior Data Scientist from 2021 to 2022. During his tenure, he contributed to various data-driven projects, enhancing the company's capabilities in data analytics and machine learning. His progression within the company reflects his growing expertise and leadership in the field.
Professional Background
Alastair Pate has a diverse professional background in data science and analytics. He worked at HSBC as a Data Scientist for nine months in 2017-2018 and at Aberdeen Asset Management as a Senior Developer for one year from 2016 to 2017. His earlier roles include positions at Organon and Merck, where he gained significant experience in data analysis and management.
Education and Qualifications
Alastair Pate holds a PhD in Pharmacology from Imperial College London, which he completed from 1995 to 1998. He also earned a BSc in Physiology from the University of Glasgow between 1990 and 1994. Additionally, he obtained a Master of Science (MSc) in Data Science from The University of Dundee in 2015. His educational background provides a strong foundation for his expertise in data science and analytics.
Technical Skills and Expertise
Alastair Pate possesses advanced skills in various programming languages and tools, including Python, R, and SQL. He is proficient in cloud platforms such as Azure and AWS and has experience with data visualization tools like Spotfire and Tableau. His expertise extends to machine learning frameworks, including Scikit learn and Keras, and he is certified as a PRINCE2 Practitioner, indicating his proficiency in project management methodologies.