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- Tasks: Prepare datasets and support AI/ML models for energy data analysis.
- Company: Innovative company focused on renewable energy and smart-grid solutions.
- Benefits: Competitive salary, strong benefits, and share options.
- Why this job: Join a team making a real impact in renewable energy with cutting-edge AI technology.
- Qualifications: Strong SQL and Python skills; experience with data pipelines and visualisation tools.
- Other info: Hybrid work environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
Hybrid (mix of office/home); Base: Newcastle upon Tyne, UK
Job Description
As a Data Analyst focused on AI/ML, you will work closely with our AI/ML team to deliver advanced analytics and support bespoke machine learning models for energy data. You’ll prepare datasets, contribute to model training/validation workflows, and present insights through clear visualisations that inform product and operational decisions.
Responsibilities
- Data Preparation – Build reliable, well-documented datasets from pipelines for analysis and model input.
- Model Support – Assist with feature preparation, training/validation runs, and results tracking for energy use cases.
- Analytics & Insight – Explore datasets, quantify patterns, and provide actionable findings to stakeholders.
- Visualisation – Create clear dashboards/visuals to communicate trends and model outcomes.
- Quality & Governance – Validate data assumptions, handle anomalies, and document definitions/metrics.
Qualifications
- Strong SQL and Python skills for analysis, data wrangling, and reproducible workflows.
- Experience with data pipelines and with model training/validation support.
- Familiarity with modern visualisation tools and best practices for explanatory charts.
- Passion for applying AI to real-world renewable energy and smart-grid challenges.
- Clear communicator with an evidence-driven approach.
Compensation & How to Apply
We offer competitive salary, strong benefits, and share options. Please respond by clicking below to express interest in this position.
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Data Analyst (AI & ML Focus) — 1 role employer: Qgems Limited
Contact Detail:
Qgems Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (AI & ML Focus) — 1 role
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working with AI and ML. 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 data visualisations and projects. This is your chance to demonstrate your SQL and Python prowess in a way that grabs attention.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis scenarios. Be ready to discuss how you’ve tackled data preparation and model support in past roles or projects.
✨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 Data Analyst (AI & ML Focus) — 1 role
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL and Python skills, as well as any experience with data pipelines and model training. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and renewable energy. Share specific examples of how you've applied your analytical skills in past roles, and let us know what excites you about this position.
Showcase Your Visualisation Skills: Since visualisation is key for this role, include examples of dashboards or visuals you've created in the past. We love seeing how you can communicate complex data in a clear and engaging way, so make sure to highlight this in your application!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Qgems Limited
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects involving data preparation and analysis. Be ready to discuss specific datasets you've worked with, how you built them, and the impact they had on your previous roles. This will show your hands-on experience and understanding of the data lifecycle.
✨Brush Up on SQL and Python
Since strong SQL and Python skills are crucial for this role, make sure you're comfortable discussing your coding experience. Prepare to answer technical questions or even solve problems on the spot. Practising common SQL queries and Python scripts can give you a solid edge.
✨Visualisation is Key
Familiarise yourself with modern visualisation tools and best practices. Bring examples of dashboards or visuals you've created in the past, and be prepared to explain how they helped communicate insights effectively. This will demonstrate your ability to present complex data clearly.
✨Communicate Clearly and Confidently
As a clear communicator, practice explaining your analytical findings in simple terms. Think about how you would present your insights to stakeholders who may not have a technical background. This will highlight your ability to bridge the gap between data and decision-making.
