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- Tasks: Analyse energy data and support AI/ML models to drive insights.
- Company: Dynamic company focused on renewable energy and smart-grid solutions.
- Benefits: Competitive salary, strong benefits, and share options.
- Why this job: Make a real impact in the renewable energy sector with cutting-edge AI technology.
- Qualifications: Strong SQL and Python skills; experience with data pipelines and visualisation tools.
- Other info: Hybrid work model with opportunities for professional growth.
The predicted salary is between 28800 - 48000 £ per year.
Hybrid (mix of office/home); Base: Newcastle upon Tyne, UK
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.
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 folks in the AI/ML space, especially those already working at companies you're interested in. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisations and any projects you've worked on. This is your chance to demonstrate your SQL and Python prowess, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis scenarios. Think about how you'd approach real-world problems, especially in renewable energy. We want to see your thought process and how you tackle challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team and contributing to exciting AI/ML projects.
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 the types of datasets you might be working with. Familiarise yourself with energy data specifics and think about how you would prepare and validate these datasets. Being able to discuss your approach to data preparation will show your potential employer that you're ready to hit the ground running.
✨Showcase Your SQL and Python Skills
Be prepared to discuss your experience with SQL and Python in detail. Think of specific examples where you've used these skills for data wrangling or model training. If possible, bring along a portfolio or examples of your work that demonstrate your proficiency and problem-solving abilities in real-world scenarios.
✨Visualisation is Key
Since you'll need to create clear dashboards and visuals, brush up on modern visualisation tools. Be ready to talk about your favourite tools and why you prefer them. You could even prepare a mock-up of a dashboard based on hypothetical energy data to showcase your ability to communicate insights effectively.
✨Communicate Clearly and Confidently
As a Data Analyst, you'll need to present insights to stakeholders. Practice explaining complex concepts in simple terms. During the interview, focus on being concise and structured in your responses. This will demonstrate your communication skills and your ability to convey actionable findings clearly.