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- Tasks: Analyse energy data using AI/ML techniques and support machine learning models.
- Company: Leading tech solutions provider based in Newcastle upon Tyne.
- Benefits: Competitive salary, hybrid work model, and comprehensive benefits package.
- Other info: Exciting opportunity for growth in a dynamic and innovative environment.
- Why this job: Join a forward-thinking team and make a difference in the energy sector.
- Qualifications: Strong SQL and Python skills, with experience in data visualisation.
The predicted salary is between 35000 - 45000 £ per year.
A technology solutions provider in Newcastle upon Tyne is seeking an experienced Data Analyst to focus on AI/ML. In this hybrid role, you will work with the AI/ML team to deliver advanced analytics for energy data and support machine learning models.
Strong SQL and Python skills are essential, along with the ability to create clear visualisations and communicate insights effectively.
Competitive salary and benefits offered.
AI/ML Data Analyst for Energy Insights (Hybrid) in Newcastle upon Tyne employer: Qgems Limited
Contact Detail:
Qgems Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Data Analyst for Energy Insights (Hybrid) in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space, especially those working in energy insights. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects, especially any visualisations or machine learning models you've worked on. This will give you an edge when discussing your experience.
✨Tip Number 3
Prepare for interviews by brushing up on common AI/ML questions and case studies related to energy data. We want you to feel confident and ready to impress with your insights!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI/ML Data Analyst for Energy Insights (Hybrid) in Newcastle upon Tyne
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your SQL and Python skills in your application. We want to see how you've used these tools in past projects, so don’t hold back on the details!
Visualisation is Key: Since creating clear visualisations is part of the role, include examples of your work if you can. We love seeing how you communicate insights through visuals, so let your creativity shine!
Tailor Your Application: Take a moment to tailor your application to the job description. We’re looking for someone who understands the energy sector and AI/ML, so make sure to connect your experience to what we do.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Qgems Limited
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Visualisation Skills
Prepare to demonstrate your ability to create clear and impactful visualisations. Bring examples of your work that highlight how you've communicated complex data insights effectively in the past.
✨Understand the Energy Sector
Familiarise yourself with current trends and challenges in the energy sector, especially regarding AI and machine learning applications. This will show your genuine interest in the role and help you engage in meaningful discussions during the interview.
✨Practice Problem-Solving Scenarios
Expect to tackle some problem-solving scenarios related to data analysis and machine learning. Practising these types of questions can help you articulate your thought process clearly and demonstrate your analytical skills.