LOW CARBON GROUP  Salary

Rating of the company
The user's experience with LOW CARBON GROUP is not verified
STIRLING SQUARE 5-7 CARLTON GARDENS LONDON SW1Y 5AD UNITED KINGDOM
TIN: 07853501
Rating of the company
The user's experience with LOW CARBON GROUP is not verified

LOW CARBON GROUP

Earnings on positions in LOW CARBON GROUP

Looking for a job?

Describe to the employer what experience you have and get interesting career offers! Let other users advise you on your choice.

LOW CARBON GROUP is looking for employees for positions:

researcher

Trade

  • information Design & Documentation
  • Information Design & Documentation

Benefits

  • mutual

Responsibility

  • working with Quantitative Developers and Domain Specialists to enable them to turn the proof of concepts into production-ready apps
  • carry out extensive market research to find solutions to challenging and often complex business problem statements, using descriptive and inferential statistics
  • collaborate with domain modelling experts to design and implement algorithms and quantitative models, and carry out benchmarking and testing
  • finance, Investment/Development, Asset/Fund Management, Power Sales)
  • communicating insights from academic papers and technical presentations, to product demos and high-level business focused pitches
  • lead early-stage quantitative research, to develop proof of concepts for products that deliver industry leading insights. Understanding key value drivers and keeping stakeholders up to date on progress and insights
  • technical Growth- it is expected that within this role the successful candidate will develop a hybrid skillset at the boundary of data science and the Renewables domain, specifically - one of Low Carbon’s primary business segments (e.g
  • providing data science, engineering and analytics capability, working on business-critical projects that are at the core of Low Carbon’s growth and success

Requirements

  • educated to degree level in Computer Science, Data Science, Engineering or a related technical discipline
  • solid fundamental understanding of Statistics and the theoretical foundations behind common machine learning algorithms and approaches- their strengths, weaknesses, and limitations
  • knowledge of Software Engineering best practices e.g. version control
  • capable of working with a wide variety of structured and unstructured data sources- tabular data, text, image, video etc
  • excellent problem-solving ability
  • experience of working with relational databases would be beneficial
  • prior domain knowledge Renewables and more specifically, one of Low Carbon’s primary business segments is desirable
  • experience of processing Big Data with technologies such as Databricks/Apache Spark would be beneficial