Technical Data Designer
Company:
BCAS Europe Limited
Job ID:
00000429259
Date Posted:
2024-07-03
Location:
GBR - Welwyn Garden City, UK
Job Description Qualifications:
Our products support the maintenance, modification and repair of the Boeing commercial fleet and the users of our products require concise, accurate technical documentation. 2024
Boeing is the world's largest aerospace company and leading manufacturer of commercial airplanes and defense, space and security systems.
Having begun as an arm of the UK R&D department, it has rapidly developed into a team that works on a much larger and more diverse scale: ranging from using traditional data science techniques to optimise the efficiency of operations and monitoring product quality and consistency, to harnessing the power of state-of-the-art AI solutions to identify novel construction materials and service Sika global with LLM technologies. You will actively seek further data sources which can be valorised through common data science initiatives, and support in the construction of large-scale solutions to harness these repositories. You'll need a keen nose for where data science can be harnessed to drive productivity, both in the small and large scales, and where new sources of information can be harnessed and centralised. Experience in change management and application of data science solutions to scientific experimentation are ideal but not essential.
Having begun as an arm of the UK R&D department, it has rapidly developed into a team that works on a much larger and more diverse scale: ranging from using traditional data science techniques to optimise the efficiency of operations and monitoring product quality and consistency, to harnessing the power of state-of-the-art AI solutions to identify novel construction materials and service Sika global with LLM technologies. You will support the sustainability and sales departments in the construction of ETL pipelines for various tasks, including the analysis of requisite customer and sales data. You'll need a keen nose for where data science can be harnessed to drive productivity, both in the small and large scales, and where new sources of information can be harnessed and centralised. Excellent knowledge of Excel, and a good understanding of SQL and NoSQL databases.
Having begun as an arm of the UK R&D department, it has rapidly developed into a team that works on a much larger and more diverse scale: ranging from using traditional data science techniques to optimise the efficiency of operations and monitoring product quality and consistency, to harnessing the power of state-of-the-art AI solutions to identify novel construction materials and service Sika global with LLM technologies. You will support the sustainability and sales departments in the construction of ETL pipelines for various tasks, including the analysis of requisite customer and sales data. You'll need a keen nose for where data science can be harnessed to drive productivity, both in the small and large scales, and where new sources of information can be harnessed and centralised. Excellent knowledge of Excel, and a good understanding of SQL and NoSQL databases.
Having begun as an arm of the UK R&D department, it has rapidly developed into a team that works on a much larger and more diverse scale: ranging from using traditional data science techniques to optimise the efficiency of operations and monitoring product quality and consistency, to harnessing the power of state-of-the-art AI solutions to identify novel construction materials and service Sika global with LLM technologies. You will support the sustainability and sales departments in the construction of ETL pipelines for various tasks, including the analysis of requisite customer and sales data. You'll need a keen nose for where data science can be harnessed to drive productivity, both in the small and large scales, and where new sources of information can be harnessed and centralised. Highly flexible approach to communication, able to perceptively understand and deftly adapt to the different approaches of different teams.