At a Glance
- Tasks: Apply machine learning to optimise energy trading strategies and improve market performance.
- Company: Join a growing energy trading organisation at the forefront of AI innovation.
- Benefits: Flexible work environment, professional development, and the chance to make a real impact.
- Other info: Collaborative team culture with opportunities for creative input and growth.
- Why this job: Gain top-notch experience in energy trading while mastering your data science skills.
- Qualifications: Experience in data science, strong Python skills, and knowledge of SQL.
The predicted salary is between 63000 - 77000 £ per year.
Edinburgh City Centre (2 days per week in office). AI Connect are proud to be partnered with a growing and influential energy trading organisation in Edinburgh, who use 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 trading, developing algorithms that directly shape how energy 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
- MLOps - working with a huge amount of IoT data will require some MLOps practices
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 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.
Data Scientist employer: AI Connect | Data & AI Delivery Partner
Join a forward-thinking global brand as a Senior Applied AI Engineer, where you'll be at the forefront of developing next-generation customer-facing AI applications. With a competitive salary and excellent benefits, our collaborative work culture fosters innovation and continuous learning, providing ample opportunities for professional growth in a dynamic environment. Located in a vibrant tech hub, you'll enjoy access to cutting-edge resources and a supportive team dedicated to pushing the boundaries of AI technology.
Contact Details:
AI Connect | Data & AI Delivery Partner Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
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We think you need these skills to ace Data Scientist
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 AI Connect | Data & AI Delivery Partner, 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 AI Connect | Data & AI Delivery Partner. 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 AI Connect | Data & AI Delivery Partner
✨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 AI Connect | Data & AI Delivery Partner!
✨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.
