Data Scientist – AI & Analytics Innovator (AWS/Nexus)

Sage; Newcastle upon Tyne; Hybrid; GBP 60,000 - 110,000; Full time

Job summary

Sage in the United Kingdom is seeking a Data Scientist to join the Enterprise Analytics & AI Hub in Newcastle. This role focuses on developing and evaluating advanced analytics, machine learning, and generative AI solutions using AWS, collaborating with product, data engineering, software and platform teams to move ideas from discovery to production.

The position emphasizes turning business questions into measurable data science problems, building trusted models in Nexus, and applying

Qualifications

Responsibilities

• Turn ambiguous business questions into measurable data science problems, clear success measures, and evidence-based recommendations.
• Build trusted models, data products, and AI capabilities in Nexus for colleagues to use safely and effectively.
• Improve the quality and usability of structured and unstructured data by clarifying definitions, lineage, assumptions, and limitations.
• Establish evaluation, observability, and feedback practices that improve accuracy, reliability, latency, and cost over time.
• Foster a culture of responsible, data-informed experimentation by sharing insights, reusable approaches, and emerging techniques across the team.
• Partner with product owners, domain experts, and stakeholders to translate business challenges into measurable analytical or AI outcomes, data requirements, and evaluation plans.
• Explore, prepare, and validate structured and unstructured data, establishing quality checks, feature definitions, lineage, and documented limitations.
• Design, develop, and validate statistical and machine learning solutions for classification, regression, clustering, forecasting, segmentation, and optimization.
• Design experiments and apply statistical analysis, including A/B testing where appropriate, to measure impact and support sound decisions.
• Write production-quality Python and SQL, and work with engineers to integrate successful solutions into scalable AWS services, data pipelines, and APIs.
• Apply MLOps and LLMOps practices, including version control, automated tests, CI/CD, reproducible deployment, monitoring, drift detection, and rollback.
• Define and maintain offline and live evaluation measures, using traces, token usage, cost, performance, and user feedback to improve solutions over time.
• Apply responsible AI, privacy, security, and data governance principles, with appropriate access controls, explainability, safety checks, and human oversight.
• Communicate insights, trade-offs, and recommendations clearly to technical and business audiences, and contribute reusable patterns, documentation, and learning across the team.

Job description

Sage in the United Kingdom is seeking a Data Scientist to join the Enterprise Analytics & AI Hub in Newcastle. This role focuses on developing and evaluating advanced analytics, machine learning, and generative AI solutions using AWS, collaborating with product, data engineering, software and platform teams to move ideas from discovery to production.

The position emphasizes turning business questions into measurable data science problems, building trusted models in Nexus, and applying