Data Scientist

CGG Services (UK) Limited; Llandudno; Hybrid; GBP 40,000 - 60,000; Full time

Benefits offered by this job

Competitive salary

Attractive bonus scheme

Flexible working

Annual leave

Company pension

Wellbeing app

Flexible benefits platform

Social club events

Job summary

CGG Services (UK) Limited is hiring a Data Scientist to transform raw data into structured datasets. The successful candidate will work alongside SMEs, supporting data integration and machine learning initiatives.

This position offers a competitive salary, a robust bonus scheme, and a hybrid working model. Employees enjoy a flexible benefits platform, initial 22 days annual leave, and support for mental health.

Qualifications

• Background in data science or related field, preferably with a Master’s degree.
• Proficient in Python with experience in ML libraries.
• Experience with hybrid ML workflows and data processing.

Responsibilities

• Develop data-transformation modules for datasets.
• Collaborate with SMEs and labeling team to improve workflows.
• Support development of data-processing solutions and maintain version control.

Skills

Python

Machine Learning Libraries

Data Processing

Collaboration

Education

Master’s degree in Data Science or related field

Tools

Relational Databases

NoSQL Databases

Graph Databases

Job description

Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future.

We are seeking a Data Scientist to play a central role in transforming raw data into structured, reliable, and scalable datasets within our Data Hub environment.

Key Responsibilities

• Develop 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 validation.
• Communicate regularly with team members, the team lead, and cross‑functional partners in production and technology to ensure alignment and transparency.

Performance Metrics

• Delivers high‑quality work on time.
• Quickly learns and applies new tools, technologies, and concepts.
• Demonstrates strong understanding of Data Hub systems and workflows.

Qualifications & Skills

• Background 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 experience.
• Highly attractive bonus scheme.
• Hybrid model and flexible working with up to 2 days at home.
• Initial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday program.
• Company pension with generous employer contribution.
• Wellbeing Unmind app – puts you in control of your mental health.
• A flexible benefits platform with numerous discount schemes – gym membership, restaurants, cinema tickets, and much more!
• Regular social club events, spontaneous reward events throughout the year.
• Cycle purchase scheme.Flexible Private Medical & Dental care programmes.
• Sponsorship of visas/comprehensive relocation packages.
• Bank Holiday Swap – allows you to change it for another day of your choice.
• Relaxed dress code policy.

EEO & Diversity Statement

Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.