National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Scientist

Cardiff
1 month ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist

Lead Data Scientist

Post-Doctoral Data Scientist

Data Engineer

SC cleared Python developer

Machine Learning Operations (ML Ops) Engineer

Data Scientist

Swansea or Cardiff based

£60000 - £70000 PA plus bonus

The Company

Opportunity to join a growing group of companies who provide the latest energy-efficient technologies in homes across the UK. The group is well established and work with utility partners, councils, landlord associations and private homeowners providing a Whole Home Approach to create warmer energy efficient homes, whilst reducing carbon emissions. With offices in Cardiff and Swansea this award-winning organisation is in a period of growth and looking for a Data Scientist to join the team.

The Role

We are looking for a highly experienced Data Scientist to work with the senior management team and reporting directly to the CEO, to identify areas for improvement and solve business problems. It is a fast-paced role working simultaneously on a variety of projects to achieve accurate and detailed results.

You could be based in either the Cardiff or Swansea office and will be able to work hybrid remote on a flexible basis ensuring the needs of the business are met at all times.

Duties and responsibilities will include:

Mining data from a variety of company databases and systems
Preparation of data for analysis
Data analysis and interpretation, identifying patterns and potential insights
Statistical modeling and using machine learning techniques to identify trends and make forecasts
Evaluating model performance using different metrics and refining models to improve performance
Create visual representation of data to include graphs, dashboards and charts etc.
Presenting findings to senior management and stakeholders to help the business solve problems and improve operations
Working collaboratively with internal stakeholders to identity needs, communicate data driven recommendations and create actionable plans
Using data to identify future potential business problems
Keeping abreast and evaluation of new technologies and tools used for data analysis
Ensuring data is collected, stored and used ethically and responsibly

Requirements

The successful applicant will have the following qualifications, experience and qualities:

This is a senior position requiring extensive experience and proven results
Master's degree in data science, applied data science or related field preferred
Experienced with database systems, SQL and full proficiency in Power BI
Mathematically minded with solid knowledge of statistical methods and probability
Experienced with various machine learning algorithms and frameworks
Analytical with a sound problem solving ability
Task orientated with a solid sense of urgency
Excellent communication skills with the ability to explain complex data results to internal stakeholders
Good presentation skills and able to create effective visual representation of findings
A team player
Previous project experience

In Return

This is a senior position in a large and growing organisation offering the successful applicant a high level of responsibility and opportunities. An excellent financial package is on offer for an applicant with proven experience and results.

For more information contact Kim Simpson of Work Wales for a confidential discussion

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for Robotics Jobs: 10 Tweaks to Accelerate Recruiter Engagement

Robotics is reshaping industries from manufacturing and logistics to healthcare and agriculture. Recruiters seek professionals versed in robot kinematics, control systems, ROS, machine vision and embedded programming. With demand outstripping supply, a meticulously optimised LinkedIn profile can set you apart and draw top recruiters. This step-by-step LinkedIn for robotics jobs checklist outlines ten focused tweaks to accelerate recruiter engagement. Whether you’re designing autonomous vehicles, developing computer vision pipelines or integrating robotic arms on factory floors, these actionable optimisations will ensure your profile highlights both technical prowess and project impact.

Part-Time Study Routes That Lead to Robotics Jobs: Evening Courses, Bootcamps & Online Masters

Robotics integrates mechanical engineering, electronics and computer science to develop automated systems—ranging from industrial manipulators and autonomous vehicles to surgical robots and service drones. In the UK, with its advanced manufacturing sectors, cutting-edge research centres and growing autonomous systems industry, demand for robotics professionals—engineers, software developers, systems integrators and research scientists—is soaring. However, many aspiring roboticists cannot pause their careers for full-time study. Fortunately, an ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—enables you to learn robotics while working. This comprehensive guide explores every route: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an electrical engineer, software developer or mechanical designer, you’ll discover how to build robotics expertise alongside your current job and personal commitments.

The Ultimate Assessment-Centre Survival Guide for Robotics Jobs in the UK

Assessment centres for robotics positions in the UK are designed to replicate the multidisciplinary nature of robotics engineering—combining programming, mechanical design and system integration under real-world constraints. Through psychometric assessments, coding and simulation tasks, hardware prototyping exercises, group integration workshops, case studies and interviews, recruiters evaluate your technical aptitude, problem-solving skills and teamwork. Whether you specialise in autonomous vehicles, industrial automation or human–robot interaction, this guide will prepare you to excel at every stage and land your next robotics role.