Templeton and Partners are looking for a Data Scientist for one of our multinational clients in Oil & Gas sector on a 8 month contract with the potential to extend to be based in London, UK but remote for the moment, however will be intially up to 3 days a week on site.
*Please note this position is inside IR35
Our client is looking for an experience below:
Python e.g. Packages and package management, async python etc.
Significant, hands-on experience in code development for machine learning / advanced analytics algorithms to solve business problems.
Experience in time series analysis / predictive modelling with low granularity time series data.
Knowledge of quantitative financial/economic modelling, preferably related to commodity trading such as power, gas, carbon is a strong advantage.
Experience with data extraction, basic data wrangling/pipelines, etc.
Statistical background e.g. degree, masters or PhD in STEM subjects, or can demonstrate significant skill through prior projects
Can explain software engineering best practice e.g. CI/CD, 12-factor, git branching strategies, test automation
Excellent written and verbal communication
Takes pride in growing others through coaching, collaborating and supporting peers.
Can explain how designing and deploying for the cloud (e.g. Azure, AWS, GCP etc.) is different than designing for on-premise.
Experience with Azure Data Factory, Azure Functions for data engineering