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# Data Scientist

- **Company:** CGG
- **Location:** Llandudno, UK
- **Contract:** Permanent contract
- **Skills:** Data Hub, Data Integration, Graph Database, Python (Programming Language), Machine Learning, NoSQL, Data Processing, Large Language Models, Machine Learning Operations, Software Version Control, Programming Languages
- **Published:** October 11, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/data-scientist/51309076

## About the Role

validation.Communicate regularly with team members, the team lead, and cross-functional partners in production and technology to ensure alignment and transparency.Performance MetricsDelivers high-quality work on time.Quickly learns and applies new tools, technologies, and concepts.Demonstrates strong understanding of Data Hub systems and workflows.Qualifications & SkillsBackground in data science or a related field (Master's degree preferred).Proficient in at least one programming language-ideally Python-with experience in common ML libraries.Experience with hybrid ML workflows (traditional ML, LLMs, embeddings, ontologies, knowledge graphs).Comfortable working with relational, NoSQL, and graph databases.Strong data-processing skills, including cleaning, filtering, and feature extraction.Clear communicator with strong collaboration and presentation skills.Why work with us?Competitive salary commensurate with experienceHighly attractive bonus schemeHybrid model and flexible working with up

## Description

systematic data-transformation modules to gather, clean, validate, and structure raw datasets.Collaborate closely with Subject Matter Experts (SMEs) and the labeling team, building a solid understanding of domain knowledge and requirements.Support SMEs and the labeling team by providing tools, solutions, and continuous technical feedback to improve annotation workflows.Build scalable, reusable data-processing solutions and maintain version control using GitLab.Troubleshoot and diagnose data issues, proactively flagging inconsistencies or risks.Maintain a deep understanding of the Data Hub technology stack and data schemas, staying current with emerging technologies, models, and research.Contribute to broader initiatives related to data integration, feature design, and machine learning.Design and run experiments, iterate based on results, and document and share learnings with the team.Use pre-trained ML models, and train or fine-tune models on internal datasets with proper evaluation and