Data Scientist

Work Wales; Swansea; Hybrid; GBP 60,000 - 70,000; Full time

Job summary

A leading energy solutions company based in Swansea seeks a Senior Data Scientist to enhance business operations. You will analyze data, create models, and collaborate with senior management to identify business improvements. The ideal candidate will have a Master's in Data Science, SQL proficiency, and strong analytical skills. This position offers a competitive salary and hybrid work flexibility.

Benefits

Competitive salary

Hybrid working options

Opportunities for professional development

Qualifications

• Extensive experience in data science required.
• Proven results in previous projects.
• Strong mathematical and statistical foundation.

Responsibilities

• Mine and prepare data for analysis.
• Perform data analysis and statistical modelling.
• Present findings to stakeholders.

Skills

Data analysis

Machine learning

Statistical modelling

SQL proficiency

Power BI

Communication skills

Education

Master's degree in Data Science

Tools

Database systems

Power BI

Job description

Overview

Data Scientist – Swansea

£60000 - £70000 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 will be based in the Swansea office and will be able to work hybrid remote some days on a flexible / occasional basis ensuring the needs of the business are met at all times.

Responsibilities

• 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 modelling 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

Qualifications

• 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