Data Scientist

Sage

HybridPosted July 28, 2026

About the role

Data Scientist — Permanent role in London, United Kingdom (hybrid; up to 2 days in office).

Salary

£69,000–£74,000. About Sage: Sage is a global academic publisher of books, journals, and library resources, committed to independent thinking and advancing research and education. Your new role: As a Data Scientist, you will design, implement, and operationalize AI/ML solutions that address a range of business problems, including NLP, computer vision, and recommender systems. You will apply Azure-based cloud services to deliver scalable, cloud-based solutions and collaborate with data engineers to prepare high-quality datasets and with ML engineers to deploy and optimize models. You will act as a subject-matter expert in data science, contributing to senior-level discussions and promoting evidence-based decision-making. You will ensure models meet technical, ethical, and regulatory standards, resolve complex performance issues, and guide junior teammates. You will stay at the forefront of data science and NLP by evaluating new methods and communicating findings to the business. Requirements and capabilities:

Data Scientist

Sage

HybridPosted July 28, 2026

About the role

Data Scientist — Permanent role in London, United Kingdom (hybrid; up to 2 days in office).

Salary

£69,000–£74,000. About Sage: Sage is a global academic publisher of books, journals, and library resources, committed to independent thinking and advancing research and education. Your new role: As a Data Scientist, you will design, implement, and operationalize AI/ML solutions that address a range of business problems, including NLP, computer vision, and recommender systems. You will apply Azure-based cloud services to deliver scalable, cloud-based solutions and collaborate with data engineers to prepare high-quality datasets and with ML engineers to deploy and optimize models. You will act as a subject-matter expert in data science, contributing to senior-level discussions and promoting evidence-based decision-making. You will ensure models meet technical, ethical, and regulatory standards, resolve complex performance issues, and guide junior teammates. You will stay at the forefront of data science and NLP by evaluating new methods and communicating findings to the business. Requirements and capabilities:

Proficiency in Python, R, and SQL
Hands-on experience with XGBoost, Random Forest, LSTM, and transformers
Experience in NLP, computer vision, and recommender systems; familiarity with large language models
Git-based collaboration (GitHub, GitLab, Azure DevOps)
Ability to extract insights from large structured and unstructured datasets
Strong data storytelling with Power BI and Looker
Ability to manage multiple projects and stakeholders in a fast-paced env

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Proficiency in Python, R, and SQL
Hands-on experience with XGBoost, Random Forest, LSTM, and transformers
Experience in NLP, computer vision, and recommender systems; familiarity with large language models
Git-based collaboration (GitHub, GitLab, Azure DevOps)
Ability to extract insights from large structured and unstructured datasets
Strong data storytelling with Power BI and Looker
Ability to manage multiple projects and stakeholders in a fast-paced env