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For Companies At a Glance
- Tasks: Apply machine learning to optimise trading strategies and improve market performance.
- Company: Growing energy trading organisation in Edinburgh, focused on AI-driven solutions.
- Benefits: Competitive salary, excellent package, and opportunities for skill development.
- Why this job: Join a team shaping the future of energy with cutting-edge data science.
- Qualifications: Experience in data science, strong Python skills, and knowledge of SQL.
- Other info: Collaborative environment with freedom to innovate and grow your expertise.
The predicted salary is between 36000 - 60000 £ per year.
Edinburgh City Centre (2 days per week in office)
£45,000 - £55,000 + excellent package
AI Connect are proud to be partnered with a growing and influential energy trading organisation in Edinburgh, using advanced data science and machine learning to tackle real-world energy challenges.
This is a brilliant opportunity to join a team at the forefront of AI-driven energy & battery modelling, developing algorithms that directly shape how electricity is traded, stored, and distributed across markets.
The Role
As a Data Scientist, you’ll work on real world projects, applying machine learning and predictive modelling to optimise trading strategies and improve market performance. You’ll collaborate closely with traders, engineers, and fellow data specialists to bring ML solutions from concept to production, leveraging the latest tools in Azure and Azure ML.
The Toolset
- Python – your primary language for modelling and analysis
- SQL – for efficient data extraction and manipulation
- Machine Learning – applied to real-world trading and forecasting problems
- Azure & Azure ML – for model deployment and pipeline management
What We’re Looking For
- Experience as a Data Scientist or ML Engineer, providing business value
- Strong programming skills in Python (pandas, NumPy, scikit-learn, etc.)
- Solid understanding of SQL and data manipulation techniques
- Experience applying machine learning to real-world datasets
- Exposure to Azure or other cloud environments would be helpful
Why Join
- Gain highest-quality experience in energy trading and modelling through data and AI
- Work in an environment where you have freedom to bring new ideas, with time & support to master your craft as you develop your own skillset.
- Be part of a growing, influential organisation making a real impact on the UK energy landscape
Apply today and we’ll be delighted to share more details on a call.
Data Scientist in Dunfermline employer: AI Connect | Data & AI Delivery Partner
Contact Detail:
AI Connect | Data & AI Delivery Partner Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Dunfermline
✨Tip Number 1
Network like a pro! Reach out to people in the energy trading sector, especially those working with data science. Use LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving machine learning and real-world applications. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python, SQL, and machine learning techniques. Practise explaining complex concepts in simple terms, as you'll need to collaborate with traders and engineers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to reach out directly.
We think you need these skills to ace Data Scientist in Dunfermline
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Data Scientist or ML Engineer. We want to see how your skills in Python, SQL, and machine learning can bring business value to our team.
Showcase Your Projects: Include specific examples of projects where you've applied machine learning to real-world datasets. We love seeing how you've tackled challenges and optimised strategies in previous roles.
Keep It Clear and Concise: When writing your application, be clear and to the point. We appreciate straightforward communication that gets right to the heart of your qualifications and enthusiasm for the role.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in energy trading.
How to prepare for a job interview at AI Connect | Data & AI Delivery Partner
✨Know Your Data Science Tools
Make sure you brush up on your Python skills, especially with libraries like pandas and scikit-learn. Be ready to discuss how you've used these tools in past projects, as well as any experience you have with SQL for data manipulation.
✨Understand the Energy Sector
Familiarise yourself with the basics of energy trading and how data science plays a role in it. This will not only show your interest in the field but also help you connect your skills to real-world applications during the interview.
✨Prepare for Technical Questions
Expect to face technical questions related to machine learning and predictive modelling. Practice explaining your thought process clearly and concisely, as this will demonstrate your problem-solving abilities and communication skills.
✨Showcase Collaboration Skills
Since you'll be working closely with traders and engineers, be prepared to discuss examples of how you've successfully collaborated in the past. Highlight your ability to work in a team and how you can bring ML solutions from concept to production.
