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Data Scientist

Work Wales
Posted 8 hours ago, valid for 8 days
Location

Cardiff, South Glamorgan CF24 0TB, Wales

Salary

£60,000 - £70,000 per annum

Contract type

Full Time

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Sonic Summary

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  • The job is for a Data Scientist based in either Swansea or Cardiff, offering a salary between £60,000 and £70,000 per annum plus a bonus.
  • The company specializes in energy-efficient technologies and is looking for a highly experienced individual to work directly with the CEO and senior management.
  • Candidates should have extensive experience, preferably with a Master's degree in data science or a related field, and be proficient in SQL and Power BI.
  • The role involves data mining, analysis, statistical modeling, and presenting findings to help improve business operations.
  • This senior position provides a high level of responsibility and opportunities within a growing organization.

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

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