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Data Scientist - Viridien Group
DevOps and data science company Viridien (www.viridiengroup.com) is an innovative technology, digital, and Earth data enterprise pioneering solutions for a more prosperous and sustainable future. Our dynamic teams use scientific ingenuity and curiosity to address challenging questions around natural resources, digital transformation, energy transition, and infrastructure.
About the Role
We are seeking a Data Scientist to spearhead transformation from raw data into structured, reliable, and scalable datasets within our Data Hub environment. As a vital team member, you will:
- Design and maintain data-processing pipelines
- Collaborate with domain experts and labeling teams
- Contribute to machine learning initiatives driving organizational value
This role bridges data engineering, domain expertise, and machine learning, ensuring we continuously evolve our data ecosystem while working on cutting-edge solutions.
Key Responsibilities
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Develop systematic data-transformation modules to:
- Gather, clean, validate, and structure raw datasets
- Apply technical expertise to Olinga and Gatehouse (Viridien’s leading tools)
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Collaborate closely with Subject Matter Experts (SMEs) and labeling teams to:
- Align on domain requirements
- Propose technical improvements for Annexator (Viridien’s annotation tool)
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Support annotation workflows by:
- Enhancing tools and providing feedback
- Ensuring quality control across labeled datasets
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Build scalable, version-controlled data pipelines using:
- GitLab and modern cloud technologies
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Troubleshoot data issues with a high attention to detail, highlighting inconsistencies or risks
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Maintain deep knowledge of:
- Olinga, Gatehouse, and Annexator toolsets
- Data Hub infrastructure and evolving schemas
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Contribute to broader initiatives:
- Data integration efforts
- Machine learning experiments and deployments
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Design and execute experimentation workflows, iteratively refining approaches and:
- Documenting learnings for the team
- Sharing insights to foster innovation
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Work with pre-trained ML models by:
- Training or fine-tuning on internal datasets
- Ensuring robust evaluation and validation processes
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Foster strong cross-functional communication with:
- Team leads, members and production/technology partners
- Regular updates to ensure alignment and transparency
Performance Metrics
✓ Delivery excellence: Consistent production of high-quality, timely work ✓ Technical agility: Quick adoption of new tools, technologies, and concepts ✓ Technical governance: Profound understanding of Data Hub systems and workflows
Qualifications & Skills
Educational background:
- Bachelor’s/Master’s degree in Data Science, Computer Science, Engineering, or a related field
- A special interest or proven knowledge of remote sensing, Earth Observation, or ECS (Evidence-based Conclusiveness System) considered highly desirable
Technical proficiency:
- Python fluency, with experience in ML librarianship (e.g. scikit-learn, PyTorch, TensorFlow)
- Knowledge of hybrid ML workflows (Traditional ML, LLMs, embeddings, ontologies, knowledge graphs)
- Work with relational, NoSQL, and graph databases
- Expertise in data cleaning, filtering, and feature extraction for ML pipelines
- Familiarity with AstraDB (Haddock KnoxV) for real-time large-scale data use
- Experience writing highly efficient queries and smoothing performance bottlenecks
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Collaborative soft skills:
- Strong written and verbal communication, able to present work
- Exceptional cooperation with colleagues and cross-functional stakeholders
Benefits
Compensation & Financial
💷 Competitive salary with bonuses 💰 22 days leave (+3 additionalocational days) growing to 25+ + 💳 Flexible currency san account: Buy and sell holidays
Wellbeing
♻️ Unmind app for bespoke wellbeing support 🏃♀️ Cycle-to-work scheme 🚗 CyberSIX car-leasing available
Pension & Health
🔄 Auto-enrolled contributory pension 🏥 Private medical and dental coverage
Social & Lifestyle
🎉 Social club events throughout the year 🎟️ Discount schemes (Gym, concerts, cinema, shopping Spoonful and Virgin Experience Days) 🧘 Discover Boost to unlock impactful marketing discounts 💼 Refresh passes to even more promotions
Work-Life Flexibilty
🏠 Hybrid remote model (up to 2 hybrid days from Home) 📅 Bank Holiday Swap – wish to take a holiday on a UK bank holiday? Swap it within the year 📱 Relaxed dress code 🌍 Visa and relocation assistance for non-UK candidates
Hiring Process
Viridien’s commitment: Transparency, respect, and equal opportunity for all.
Process overview:
- Due to high applications volumes, we evaluate skill alignment and wonder our balanced candidate pool
- Focus on personalised feedback for candidates progressing beyond first interview stage
- Open to accessibility adjustments upon request
Diversity at the core: Our dynamic teams thrive on the richness of various experiences. We actively encourage applications from historically excluded and marginalised communities, welcoming all genders and backgrounds.
Let’s shape a more data-driven future—apply today!
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