Data Scientist

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.

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