Data Scientist

Data Scientist

Full-Time 50000 - 60000 £ / year (est.) Home office (partial)
Viridien

At a Glance

  • Tasks: Transform raw data into structured datasets and support machine learning initiatives.
  • Company: Join Viridien, a pioneering tech company focused on sustainable solutions.
  • Benefits: Competitive salary, hybrid work model, generous leave, and wellness programmes.
  • Other info: Enjoy a relaxed dress code and regular social events in a diverse environment.
  • Why this job: Make a real impact by working at the forefront of data science and technology.
  • Qualifications: Background in data science, proficiency in Python, and strong collaboration skills.

The predicted salary is between 50000 - 60000 £ per year.

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. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.

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. In this role, you will design and maintain data-processing pipelines, collaborate closely with domain experts and labeling teams, and contribute to machine learning initiatives that drive value across the organization. This position offers the opportunity to work at the intersection of data engineering, domain knowledge, and machine learning—supporting innovative solutions while shaping our evolving data ecosystem.

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 - our holiday swap program allows you to change it for another day of your choice!
  • Relaxed dress code policy.
Our Hiring Process

At Viridien, we are committed to delivering a respectful, inclusive, and transparent recruitment experience. Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond. We are also dedicated to ensuring that our hiring process is accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don’t hesitate to contact your recruiter directly. We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.

Data Scientist employer: Viridien

At Viridien, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our Data Scientist role offers not only competitive salaries and a flexible working environment but also numerous opportunities for professional growth through engaging projects at the forefront of technology and sustainability. With a strong emphasis on employee wellbeing and a commitment to diversity, we create a supportive atmosphere where every team member can thrive and contribute to meaningful solutions for a sustainable future.
Viridien

Contact Detail:

Viridien Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist

✨Tip Number 1

Network like a pro! Reach out to current employees at Viridien on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. This insider info can give us a leg up!

✨Tip Number 2

Prepare for technical interviews by brushing up on your data science skills. Practice coding challenges, especially in Python, and get familiar with ML libraries. We want to show that we can tackle real-world problems just like they do at Viridien!

✨Tip Number 3

Don’t forget to showcase our projects! If we’ve worked on relevant data processing or machine learning projects, make sure to highlight them during interviews. Real examples of our work can really impress the hiring team.

✨Tip Number 4

Apply through our website! It’s the best way to ensure our application gets seen. Plus, it shows we’re genuinely interested in being part of the Viridien team. Let’s make it happen!

We think you need these skills to ace Data Scientist

Data Processing
Python
Machine Learning
Data Transformation
Data Cleaning
Feature Extraction
Relational Databases
NoSQL Databases
Graph Databases
Collaboration Skills
Communication Skills
Version Control (GitLab)
Experiment Design
Technical Feedback

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight relevant experience, especially in data processing and machine learning. We want to see how your skills align with our needs!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our mission at Viridien. Keep it concise but impactful.

Showcase Your Projects: If you've worked on any data projects, don't hold back! Include links to your GitHub or any relevant portfolios. We love seeing practical examples of your work and how you tackle data challenges.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at Viridien

✨Know Your Data Inside Out

Before the interview, dive deep into the data science concepts relevant to the role. Familiarise yourself with data processing pipelines, machine learning models, and the specific technologies mentioned in the job description. This will not only help you answer technical questions confidently but also show your genuine interest in the position.

✨Collaborate Like a Pro

Since the role involves working closely with Subject Matter Experts and teams, be prepared to discuss your collaboration experiences. Think of examples where you’ve successfully worked in a team to solve data-related challenges. Highlight your communication skills and how you’ve contributed to improving workflows in past projects.

✨Showcase Your Problem-Solving Skills

Be ready to tackle hypothetical scenarios or case studies during the interview. Practice explaining your thought process when diagnosing data issues or designing experiments. This will demonstrate your analytical thinking and ability to troubleshoot effectively, which are crucial for the Data Scientist role.

✨Stay Current with Trends

Keep up with the latest trends in data science, especially around hybrid ML workflows and emerging technologies. Mention any recent articles, tools, or research that have caught your attention during the interview. This shows that you’re proactive about your professional development and can bring fresh insights to the team.

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