|Type de contrat:||Durée déterminée|
|Un salaire:||£32.00 - £37.00 per hour|
|Date de début:||ASAP|
|Nom du contact:||Andy Lilliman|
|Email du contact:||firstname.lastname@example.org|
|Job Publié:||August 04, 2017 16:06|
Volt has partnered with a global machinery business seeking to appoint a Data Scientist / Analyst on an 18-month contract at their Peterborough offices.
This role focuses predominantly on engineering data and engineering test analytics, looking at how insights can be gained from a wide variety of sources in order to make engineering processes more efficient. Key drivers in this area are improving first time pass rates, reducing rework both process and engine and extrapolation of data to generate confidence in scenario generation.
As the Data Scientist you will be the technical lead for the team, participate on cross-functional project teams, provide overall guidance to the technical direction of the project, and mentor Junior Data Scientists on the technical approaches being used in order to solve problems.
Demonstrate a breadth of knowledge in the application statistical methods and/or digital methods to solve business problems. Ideally will have a strong background in mathematics and / or statistics.
Coach and mentor other Information Scientists in the creation, validation, and application of statistical models, as well as in implementing digital solutions that add business value
Work with Process Owners within Engineering to develop long term project plans that enable that support the delivery of Inline 6, Lean methodology and the Engineering strategy.
Manage and represent the short to medium term project portfolio for Engineering analytics
Lead 3-4 projects concurrently
Demonstrate strong initiative to research and apply new methods to exceed customer expectations. Have a strong focus on continual learning in Analytics as this is a rapidly developing field.
Your background and experience:
A Bachelor's degree, preferably in statistics, economics, mathematics, or a similar field with quantitative coursework, and 5-10 years of professional experience utilizing quantitative analysis is required,
Comfortable working in MS Office, and industry standard statistics and data visualization packages. Experience with Tableau, Alteryx or other ETL & visualisation packages is beneficial.
Ability to code, R or Python preferred.
Must demonstrate strong leadership, initiative, interpersonal skills and the ability to communicate effectively.
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