Data Scientist

Ronald james
Newcastle upon Tyne, UK
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
£50,000.0 - £70,000.0
Working hours
Regular working hours
Job source

Tech stack

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
+7 more
Data Lakes Debezium Apache Kafka Machine Learning Operations Functional Programming Data Pipelines Databricks

Job 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

Requirements

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

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