At a Glance
- Tasks: Build and monitor demand forecasts using data analysis and AI tools.
- Company: Greenergy, a leading company in the fuels sector based in London.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with various teams and enjoy a supportive work environment.
- Why this job: Join a dynamic team and make a real impact on demand forecasting.
- Qualifications: Strong analytical skills and proficiency in Excel; experience with AI tools is a plus.
The predicted salary is between 37800 - 46200 £ per year.
Greenergy in London is seeking a UK Fuels Demand Analyst to join our Group Optimisation team.
You will build and monitor demand forecasts, collaborating with Commercial, Trading, Supply, Risk and Finance to translate demand into accurate plans.
The role blends data analysis with stakeholder engagement, using advanced Excel and AI-enabled tools.
It supports forecasting improvements and operates in a hybrid pattern: four days in office and one from home.
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AI-Driven Demand Forecasting Analyst in London employer: Greenergy
Greenergy is an exceptional employer, offering a dynamic work environment where safety, efficiency, and customer satisfaction are at the forefront of operations. As a Depot Operations Manager, you will benefit from competitive compensation, comprehensive private medical insurance, and enhanced pension contributions, all while leading a diverse team committed to continuous improvement. With ample opportunities for professional growth and a strong emphasis on work-life balance, Greenergy fosters a culture of inclusivity and collaboration, making it an ideal place for those seeking meaningful and rewarding employment in the fuel supply industry.
StudySmarter Expert Advice🤫
We think this is how you could land AI-Driven Demand Forecasting Analyst in London
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Greenergy.
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We think you need these skills to ace AI-Driven Demand Forecasting Analyst in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Greenergy, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Greenergy. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Greenergy
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Greenergy!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
