Data Scientist in Conwy

Data Scientist in Conwy

Conwy Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
Dormont Manufacturing Co

At a Glance

  • Tasks: Transform raw data into structured datasets and support machine learning initiatives.
  • Company: Viridien, a cutting-edge tech company focused on sustainable solutions.
  • Benefits: Competitive salary, flexible working, generous leave, and wellness programmes.
  • Other info: Diverse and inclusive environment with excellent career growth opportunities.
  • Why this job: Join us to innovate at the intersection of data science and technology.
  • Qualifications: Background in data science, programming skills, and strong collaboration abilities.

The predicted salary is between 60000 - 80000 £ 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 programme.
  • 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.

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 in Conwy employer: Dormont Manufacturing Co

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 hands-on experience with cutting-edge technologies and methodologies. With a strong commitment to employee wellbeing and a diverse workplace, we empower our team members to thrive while contributing to sustainable solutions for the future.

Dormont Manufacturing Co

Contact Details:

Dormont Manufacturing Co Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist in Conwy

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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Dormont Manufacturing Co.

Apply Directly through Our Website

When you find a suitable opening like Data Scientist at Dormont Manufacturing Co, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Scientist in Conwy

Data Transformation
Data Processing Pipelines
Machine Learning
Python
ML Libraries
Hybrid ML Workflows
Relational Databases

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Dormont Manufacturing Co, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Dormont Manufacturing Co. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Dormont Manufacturing Co

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Dormont Manufacturing Co!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.