Data Scientist

Salary: £53,000 - 93,000 per year

Requirements:

• Background in data science or a related field, with a masters degree preferred.
• Proficiency in at least one programming language, ideally Python, with experience in common machine learning libraries.
• Experience with hybrid machine learning workflows, including traditional ML, LLMs, embeddings, ontologies, and 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.

Responsibilities:

• Develop systematic data-transformation modules to gather, clean, validate, and structure raw datasets.
• Collaborate closely with Subject Matter Experts and the labeling team to build a strong understanding of domain knowledge and requirements.
• Support the SMEs and 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 machine learning models, and train or fine-tune models on internal datasets with proper evaluation and validation.
• Communicate regularly with team members, the team lead, and cross-functional partners in production and technology to ensure alignment and transparency.

Technologies:

• GitLab
• Support
• Machine Learning
• NoSQL
• Python

More:

We are Viridien, an advanced technology, digital, and Earth data company focused on pushing the boundaries of science for a more prosperous and sustainable future. We work on complex natural resource, digital, energy transition, and infrastructure challenges by turning raw data into reliable, scalable datasets in our Data Hub environment. This full-time role is based in Llandudno, United Kingdom, and offers a hybrid working model with up to 2 days at home, flexible working, competitive salary, a highly attractive bonus scheme, annual leave, pension contributions, wellbeing support, flexible benefits, social events, private medical and dental care, visa sponsorship, relocation packages, and a relaxed dress code. We are committed to an inclusive and transparent hiring process and value diversity as a driver of innovation.

last updated 36 week of 2026