Data Scientist

WeAreTechWomen; Llandudno; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A technology and data solutions company in Llandudno is seeking a Data Scientist to transform raw data into structured datasets, maintain data-processing pipelines, and contribute to machine learning projects. The role requires collaboration with domain experts, strong programming skills, and proficiency in data processing. This position offers a competitive salary, attractive bonuses, and a hybrid working model with numerous employee benefits including wellness programs and flexible leave options.

Benefits

Competitive salary

Bonus scheme

Flexible working with remote options

Pension scheme

Wellbeing services

Flexible benefits platform

Social club events

Cycle purchase scheme

Qualifications

• Background in data science or related field (Master’s preferred).
• Experience with hybrid ML workflows.
• Strong data-processing skills including cleaning and feature extraction.

Responsibilities

• Develop data-transformation modules to structure raw datasets.
• Collaborate with Subject Matter Experts and labeling team.
• Build scalable data-processing solutions.

Skills

Programming (Python)

Data processing

Machine Learning libraries

NoSQL databases

Graph databases

Education

Master's degree in Data Science or related field

Tools

GitLab

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. 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.

Job Details:

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.