Our client, a leading organisation focusing on battery cell research and manufacturing is currently seeking a
Data Scientist
to join their team! The successful candidate will support the capture and analysis of data generated from the production and test of the organisation s baseline and customer products.
The
Data Scientist
will:
Deliver and report data outcomes to customer and internal programmes, on time and to target. Determine trends between manufacturing data and cell performance to inform and teach in-line checks (such as defect definition and detection) and supplement other predictive tools. Develop the tools and platforms that enable the streamlining of delivering data to customer programmes. Liaise with engineers and senior management to identify potential concerns and root cause from data sets. Manage and interpret cell and battery performance data. Provide inputs to other analysis tools in the business such as product and process simulation. Capture and post processing of on-line measurement data during manufacturing to ensure these are evaluated ahead of project stage gates and dashboards remain up to date.
The
Data Scientist
will have: Degree qualification in relevant Engineering or Science discipline (such as but not limited to Computer Science, Mathematics, Mechanical/Chemical Engineering, Physics) Relevant industry experience where advanced analytics is demonstrated (Automotive & Motorsport, Battery or Semiconductor Manufacturing, Pharmaceuticals & Biomedical, Retail & Web, Finance) Excellent analytical and programming skills at various levels (preferably Python) to support data extraction and analysis. Experience in MongoDB and SQL databases. Ability to manage various stakeholder requirements and expectations on data management (voice of customer). Experience in using Data visualisation software such as Microsoft Power BI, Tableau. Excellent communication skills with the ability to explain complex ideas and outcomes to various levels (senior management, technical, non-technical) as part of their day-to-day activity and at meetings.
If you would like to receive more details, simply submit a copy of your CV online and a member of the EVera team will be in touch! #J-18808-Ljbffr
Data Scientist
to join their team! The successful candidate will support the capture and analysis of data generated from the production and test of the organisation s baseline and customer products.
The
Data Scientist
will:
Deliver and report data outcomes to customer and internal programmes, on time and to target. Determine trends between manufacturing data and cell performance to inform and teach in-line checks (such as defect definition and detection) and supplement other predictive tools. Develop the tools and platforms that enable the streamlining of delivering data to customer programmes. Liaise with engineers and senior management to identify potential concerns and root cause from data sets. Manage and interpret cell and battery performance data. Provide inputs to other analysis tools in the business such as product and process simulation. Capture and post processing of on-line measurement data during manufacturing to ensure these are evaluated ahead of project stage gates and dashboards remain up to date.
The
Data Scientist
will have: Degree qualification in relevant Engineering or Science discipline (such as but not limited to Computer Science, Mathematics, Mechanical/Chemical Engineering, Physics) Relevant industry experience where advanced analytics is demonstrated (Automotive & Motorsport, Battery or Semiconductor Manufacturing, Pharmaceuticals & Biomedical, Retail & Web, Finance) Excellent analytical and programming skills at various levels (preferably Python) to support data extraction and analysis. Experience in MongoDB and SQL databases. Ability to manage various stakeholder requirements and expectations on data management (voice of customer). Experience in using Data visualisation software such as Microsoft Power BI, Tableau. Excellent communication skills with the ability to explain complex ideas and outcomes to various levels (senior management, technical, non-technical) as part of their day-to-day activity and at meetings.
If you would like to receive more details, simply submit a copy of your CV online and a member of the EVera team will be in touch! #J-18808-Ljbffr
