Global Data & AI Modeller for Analytics in Glasgow

Global Data & AI Modeller for Analytics in Glasgow

Glasgow Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
RES

At a Glance

  • Tasks: Lead the design of global data models and translate data into business-ready metrics.
  • Company: Join RES, a leader in renewable energy solutions with a focus on innovation.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic team environment with exciting projects in analytics and AI.
  • Why this job: Shape the future of data and AI while making a global impact.
  • Qualifications: Expertise in Azure data modeling and strong communication skills required.

The predicted salary is between 80000 - 100000 Β£ per year.

RES is looking for a Data and AI Modeller / Analytics Engineer in Glasgow to lead the design and build of global data models. This role involves translating enterprise data into business-ready metrics for analytics and AI, shaping data products, and ensuring data delivery at a global scale.

The ideal candidate should have deep expertise in data modeling within Azure and a Bachelor's degree in a related field. Strong communication skills and experience in AI/ML as well as automation are essential.

Global Data & AI Modeller for Analytics in Glasgow employer: RES

At RES, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Glasgow. Our commitment to employee growth is reflected in our comprehensive training programmes and opportunities for advancement, ensuring that you can thrive in your career while contributing to impactful global projects in data and AI. Join us to be part of a forward-thinking team that values creativity and empowers you to make a meaningful difference.

RES

Contact Details:

RES Recruitment Team

We think you need these skills to ace Global Data & AI Modeller for Analytics in Glasgow

Python
SQL
Communication Skills
Problem-Solving Skills
Data Engineering
Automation
Data Pipeline Development