Data Scientist for P2P Renewable Energy Platform in London
Data Scientist for P2P Renewable Energy Platform

Data Scientist for P2P Renewable Energy Platform in London

London Full-Time 30000 - 50000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Enhance a renewable energy trading platform using advanced modelling and forecasting.
  • Company: Join a pioneering renewable energy platform in the UK.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Why this job: Drive innovation in the renewable energy sector and make a real difference.
  • Qualifications: Expertise in Python, time-series modelling, and data science tools required.
  • Other info: Collaborative environment with a focus on sustainability and cutting-edge technology.

The predicted salary is between 30000 - 50000 £ per year.

A renewable energy platform in the UK is seeking a skilled Data Scientist to enhance its trading platform through advanced modelling and forecasting. The role involves developing time-series models, creating algorithms to optimise energy trading, and collaborating closely with engineering and product teams.

Candidates should have expertise in Python, time-series modelling, and a strong background in data science tools. This position offers the chance to drive innovation in a rapidly evolving industry.

Data Scientist for P2P Renewable Energy Platform in London employer: Green Recruitment Company

Join a forward-thinking renewable energy platform in the UK, where innovation meets sustainability. As a Data Scientist, you'll be part of a collaborative work culture that values creativity and encourages professional growth through continuous learning opportunities. Enjoy the unique advantage of contributing to a vital industry while working alongside passionate experts dedicated to making a positive impact on the environment.
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Contact Detail:

Green Recruitment Company Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist for P2P Renewable Energy Platform in London

✨Tip Number 1

Network like a pro! Reach out to professionals in the renewable energy sector on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your passion for data science.

✨Tip Number 2

Showcase your skills! Create a portfolio of projects that highlight your expertise in Python and time-series modelling. This will give potential employers a taste of what you can bring to their trading platform.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've used data science tools to solve real-world problems, especially in energy trading or similar fields.

✨Tip Number 4

Apply through our website! We make it easy for you to submit your application directly, ensuring it gets into the right hands. Plus, it shows you're serious about joining our innovative team!

We think you need these skills to ace Data Scientist for P2P Renewable Energy Platform in London

Data Science
Python
Time-Series Modelling
Algorithm Development
Energy Trading Optimisation
Collaboration Skills
Advanced Modelling
Forecasting
Data Analysis Tools

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your expertise in Python and time-series modelling right from the get-go. We want to see how your skills can enhance our trading platform, so don’t hold back!

Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Data Scientist role. Mention any relevant projects or experiences that align with optimising energy trading and collaborating with teams.

Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary to showcase your expertise in data science tools.

Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in the renewable energy sector!

How to prepare for a job interview at Green Recruitment Company

✨Know Your Data Science Tools

Make sure you brush up on your data science tools, especially Python. Be ready to discuss your experience with time-series modelling and any specific algorithms you've developed. This will show that you’re not just familiar with the tools but can also apply them effectively.

✨Showcase Your Problem-Solving Skills

Prepare to share examples of how you've tackled complex problems in previous roles. Think about specific challenges you faced in energy trading or data analysis and how you approached them. This will demonstrate your analytical thinking and ability to innovate.

✨Collaborate Like a Pro

Since this role involves working closely with engineering and product teams, be ready to discuss your collaboration experiences. Highlight any projects where teamwork was key to success, and how you communicated technical concepts to non-technical stakeholders.

✨Stay Updated on Industry Trends

Familiarise yourself with the latest trends in renewable energy and data science. Being able to discuss current developments in the industry will show your passion and commitment to driving innovation, which is crucial for this role.

Data Scientist for P2P Renewable Energy Platform in London
Green Recruitment Company
Location: London

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