Power Markets Data Scientist - Time-Series Forecasting in London

Power Markets Data Scientist - Time-Series Forecasting in London

London Full-Time 60750 - 74250 £ / year (est.) No working from home possible
EDF Trading Ltd

At a Glance

  • Tasks: Develop and enhance time-series forecasting models for renewable energy.
  • Company: Join EDF Trading Ltd, a leader in the energy sector based in London.
  • Benefits: Enjoy competitive pay, flexible working options, and opportunities for growth.
  • Other info: Fast-paced environment with collaboration opportunities and career advancement.
  • Why this job: Make a real impact in the renewable energy market while honing your data science skills.
  • Qualifications: Experience in data science and a passion for renewable energy is essential.

The predicted salary is between 60750 - 74250 £ per year.

EDF Trading Ltd in London seeks a Power Analyst – Data Scientist to develop and improve time-series forecasting models for wind and solar, translating fundamentals into numerical price forecasts for traders. You will extend embryonic models, add features for renewables, and automate pipelines while maintaining dashboards and collaborating with senior stakeholders in a fast-paced energy trading environment.

Power Markets Data Scientist - Time-Series Forecasting in London employer: EDF Trading Ltd

At EDF Trading, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work culture that fosters innovation and collaboration. Our London-based summer internship programme provides hands-on experience in energy markets, with tailored support and opportunities for personal growth, all while enjoying a comprehensive benefits package that includes hybrid working options and wellness initiatives. Join us to not only advance your career but also contribute to shaping the future of sustainable energy.

EDF Trading Ltd

Contact Details:

EDF Trading Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Power Markets Data Scientist - Time-Series Forecasting in London

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like EDF Trading Ltd!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Power Markets Data Scientist - Time-Series Forecasting at EDF Trading Ltd.

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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 EDF Trading Ltd.

Apply Directly through Our Website

When you find a suitable opening like Power Markets Data Scientist - Time-Series Forecasting at EDF Trading Ltd, 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 Power Markets Data Scientist - Time-Series Forecasting in London

Problem-Solving Skills
Communication Skills
SQL
Python
Automation
Attention to Detail
Data Engineering

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 EDF Trading Ltd, 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 EDF Trading Ltd. 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 EDF Trading Ltd

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 EDF Trading Ltd!

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.