Shape the Future of AIJoin one of the UK's fastest-growing companies and become a Professional Development Expert in Artificial Intelligence.

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Data Scientist

Glass.AI
Slough
1 month ago
Applications closed

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Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Join Our Mission to Read the Web and Research Companies With AI

Are you a curious and ambitious Computer Science graduate or a person with 1-2 years of work experience looking to launch your career in AI and data science? Join our growing team of world-class data scientists and AI engineers, and help us build technology that understands written language at scale.


We’re a UK-based company using cutting-edge AI to analyze the open web and surface valuable business insights on companies around the globe. Our technology is trusted by governments, top-tier consultancies, and leading corporations—making a real-world impact every day. As part of our team, you’ll work on innovative projects, tackle real-world data challenges, and collaborate closely with our CTO. This is a full-time role with a starting salary of £40,000–£45,000 and the opportunity to make a real impact from day one.


We work in a flexible hybrid model, part remote and part from our central London (Holborn) office.


What You'll Do

  • Dive into raw data to assess quality, clean, structure, and prepare it for downstream processing.
  • Design and implement scalable, high-performance prediction algorithms.
  • Collaborate with engineers to transform prototypes into robust, production-ready systems.
  • Deliver insights that drive strategic business decisions and improvements.


Qualifications

  • Bachelor's degree or experience in a quantitative field (Mathematics, Computer Science or Engineering).
  • At least 1 - 2 years of experience in quantitative analytics or data modelling.
  • Deep understanding of predictive modelling, machine learning, clustering and classification techniques.
  • Fluency in a programming language (Python, C, C++, Java, SQL).
  • Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau).

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