At a Glance
- Tasks: Design and own the gas analytics function, developing models and insights from scratch.
- Company: Modo Energy, a cutting-edge data platform driving the energy transition.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Join a dynamic team focused on innovation and sustainability.
- Why this job: Make a real impact in the energy sector while engaging directly with clients.
- Qualifications: Strong analytical skills and experience in data modelling and research.
The predicted salary is between 63000 - 77000 £ per year.
Modo Energy, a globally scaling data platform for the energy transition, seeks a Global Gas Analyst in London to design and own the gas analytics function from scratch.
You’ll develop models, data, forecasts, and research to show clients how gas moves and impacts portfolios.
You’ll publish insights, engage with clients directly, and contribute to the Global Analytics group, reporting to the Director of European Product.
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Global Gas Analytics Lead: Build Function & Own Insights in London employer: Modo Energy
Modo Energy is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about the energy sector and SaaS solutions. With competitive compensation, equity options, and a hybrid work model, employees are empowered to thrive while enjoying a healthy work-life balance. The company prioritises professional growth, offering ample opportunities for development and collaboration within a supportive team environment in the vibrant Greater London area.
StudySmarter Expert Advice🤫
We think this is how you could land Global Gas Analytics Lead: Build Function & Own Insights in London
✨Get Involved in Data Science Meetups
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✨Apply Directly through Our Website
When you find a suitable opening like Global Gas Analytics Lead: Build Function & Own Insights at Modo Energy, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Global Gas Analytics Lead: Build Function & Own Insights 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!
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Craft a Tailored Cover Letter:For a full-time role at Modo Energy, 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 Modo Energy. 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 Modo Energy
✨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!
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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 Modo Energy!
✨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.