Data Scientist
Role details
Job location
Tech stack
Requirements
Power Markets, Communication Skills, User Experience, Energy Industry, As a key area of focus and growth for LCP Delta, we are now looking to improve, scale and build-out our data science capabilities. Our mid-term strategy is to deploy technology across all our existing offerings, leveraging in-house data and skills to maximise our impact on the energy transition. This role will directly contribute to that strategy. This is an exciting opportunity for a data scientist with experience in energy market forecasting experience to join our fast-growing team and to play a key role in our growth. The role will involve developing new and working on existing applications using our in-house databases. Our current tech-stack covers Python, C# and front-end web technologies, built on scalable Microsoft Azure architecture. A strong knowledge of forecasting in Python will be essential for this role.
WHAT SKILLS, EXPERIENCE AND QUALITIES ARE WE LOOKING FOR?
- Python - demonstrable experience required
- Experience working across a range of ML models, e.g. TensorFlow and scikit-learn
- Significant experience in the energy industry, with a specific focus on forecasting the short-term power markets
- GitHub or Azure DevOps knowledge is desired
- SQL knowledge is desired
- Experience in DataBricks is desired, but not necessary
- You will need to be comfortable working as part of a team, have an enthusiasm for providing an excellent user experience and keen to learn new skills on the job
- Good communication skills are required with the ability to discuss technical matters in non-technical language
- A degree in a numerical or computer-based discipline is desirable, but we also welcome applicants from other backgrounds
- You are able to provide clear and logical thinking processes and has the ability to clearly communicate examples of work
Benefits & conditions
- Taking ownership of developing our new data science forecasts in the short-term energy space, starting in GB and across the continent
- Enhancing and evolving our current forecasting suite, working directly with our clients to understand their key challenges
- Collaborating with our clients, including traders with varying levels of technical knowledge, to understand requirements and business aims - Identifying problems and delivering timely solutions
- Working as a collaborative member of the Coding Team, alongside our energy full-stack developers and energy consultants
- Staying up to date with the developments and changes in the field of machine learning and data-science, including tools and techniques used