> Markdown version of [/jobs/ext/2112252-data-scientist](https://www.wearedevelopers.com/jobs/ext/2112252-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Ronald james - **Location:** Newcastle upon Tyne, UK - **Salary:** £50,000.0 - £70,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Continuous Integration, Cursor (Graphical User Interface Elements), DevOps, Programming Tools, Python (Programming Language), Machine Learning, Tensorflow, SQL Databases, Pytorch, Data Lakes, Debezium, Apache Kafka, Machine Learning Operations, Functional Programming, Data Pipelines, Databricks - **Published:** August 19, 2026 - **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2933551589-2 ## About the Role machine learning and deploying production modelsProficiency in Python, SQL, and ML frameworks such as TensorFlow, PyTorch, or scikit-learnExperience with AWS services and Databricks; understanding of ML Ops is highly beneficial Ability to quickly adapt to new tools and independently deliver scalable solutionsFamiliarity with data pipelines involving Kafka, Debezium, S3, Lambda, and Delta Lake is a plusApply now to find out more!Location:Newcastle upon Tyne ## Description This is an exciting opportunity for someone who is passionate about technology, data, and machine learning, and is eager to contribute to a forward-thinking, collaborative environment.The Data Scientist will be responsible for building and deploying machine learning models to support personalisation, recommendations, anomaly detection, and data insights. The role involves working within modern ML Ops practices and leveraging AI-powered development tools to increase efficiency and scale.Key ResponsibilitiesDevelop and deploy machine learning models for various use cases including personalisation and anomaly detectionImplement ML Ops practices including monitoring, continuous integration, and automated retrainingUse AI-assisted development tools such as Cursor and Copilot to enhance productivityCollaborate with engineers, DevOps, and leadership to ensure robust data pipelines and translate business requirements into technical solutionsRequirements3+ years of hands-on experience in applied