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For Companies At a Glance
- Tasks: Join a dynamic team to analyse data and solve real business problems.
- Company: Be part of an award-winning group focused on energy-efficient technologies in homes across the UK.
- Benefits: Enjoy hybrid remote work, competitive salary, and a bonus structure.
- Why this job: Make a tangible impact on reducing carbon emissions while working with innovative technologies.
- Qualifications: Master's degree in data science or related field; experience with SQL and Power BI required.
- Other info: Work closely with senior management and have opportunities for professional growth.
The predicted salary is between 48000 - 84000 £ per year.
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 works 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.
We are looking for a highly experienced Data Scientist to work with the senior management team and report 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 identify 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
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
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.
Data Scientist employer: Work Wales
Contact Detail:
Work Wales Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the latest energy-efficient technologies and trends in the industry. Understanding the company's focus on reducing carbon emissions will help you align your skills and experiences with their mission during discussions.
✨Tip Number 2
Brush up on your SQL and Power BI skills, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects that involve data analysis to showcase your proficiency.
✨Tip Number 3
Prepare to discuss specific examples of how you've used machine learning algorithms to solve business problems in the past. Be ready to explain your thought process and the impact of your work on previous projects.
✨Tip Number 4
Practice presenting complex data findings in a clear and engaging manner. You might want to create mock presentations to refine your communication skills, ensuring you can effectively convey insights to senior management and stakeholders.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Scientist role. Emphasise your expertise in data analysis, machine learning, and any specific tools mentioned in the job description, such as SQL and Power BI.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and how your background fits the company's mission of providing energy-efficient technologies. Mention specific projects or achievements that demonstrate your problem-solving abilities and analytical skills.
Showcase Your Technical Skills: In your application, include examples of your experience with statistical modelling and machine learning techniques. If possible, provide links to projects or portfolios that illustrate your ability to create visual representations of data and present findings effectively.
Highlight Collaboration Experience: Since the role involves working with senior management and internal stakeholders, emphasise any previous experiences where you collaborated on projects. Discuss how you communicated data-driven recommendations and contributed to actionable plans.
How to prepare for a job interview at Work Wales
✨Showcase Your Technical Skills
Be prepared to discuss your experience with database systems, SQL, and Power BI. Highlight specific projects where you successfully applied machine learning algorithms and statistical methods to solve business problems.
✨Prepare for Data Presentation
Since the role involves presenting findings to senior management, practice explaining complex data results in a clear and concise manner. Use visual aids like graphs and dashboards to demonstrate your ability to create effective representations of data.
✨Understand the Company's Mission
Research the company's focus on energy-efficient technologies and their Whole Home Approach. Be ready to discuss how your skills can contribute to their goals of reducing carbon emissions and improving home efficiency.
✨Demonstrate Team Collaboration
As the role requires working collaboratively with internal stakeholders, prepare examples of past experiences where you successfully communicated data-driven recommendations and created actionable plans as part of a team.
