Data Analytics Engineer

Our client is currently seeking a Data Analytics Engineer with a skillset and interest encompassing future mobility platforms. The successful candidate will join a highly dynamic team working on the intersection of data intelligence with new automotive passenger car technologies including hybridised ICE, fuel cell and battery-electric-vehicle development.

The primary objective will be to work closely with customers to develop, test, and optimise the performance of their future powertrains and vehicle programs utilising a data analytics skillset, across a hybrid working environment in the office, home and on-site at the customer.

The successful candidate will be expected to take responsibility for requirement definition, model development and analysis activities, and planning/execution of test work on databases, using ‘big data’, and cloud computing platforms. Clear, concise communication whilst reporting/recommendations to customer teams is critical.

Responsibilities:

• Support powertrain development projects across internal and customer opportunities covering a range of powertrain concepts
  
  
• Perform data processing and analysis, with reporting to customer teams and management Design and implement automated applications and metrics to enable more informed and data-driven engineering evaluations.
  
  
• Apply statistical modelling, learning and machine learning techniques to optimize processes and support engineering decisions
  
  
• Clear and concise reporting including graphical representations to aid understanding and interpretation
  
  
• Support scaling of models and algorithms via implementation in larger software frameworks.
  
  Essential:
  
  
• Minimum of 2:1 Bachelor’s or Master’s degree in a relevant engineering area (Physics, Mathematics, Mechanical, Automotive, etc)
  
  
• Proficiency in engineering data science toolsets, e.g. SQL, Python, R, MATLAB, Tableau, AWS, etc.
  
  
• Excellent analytical skills with ability to summarize and make clear technical recommendations across multifunctional disciplines with supporting data
  
  
• Self-starter with the ability work with high level instruction, minimal detail breakdown and to be able to seek out relevant information, data and support from other engineering groups
  
  
• Ability to communicate technical information effectively, both written and verbal, with the client and customer team members, as well employees in other, customers, suppliers, and the global team
  
  
• Flexibility to work/travel across multiple projects/locations
  
  Benefits:
  
  
• EV Lease Scheme (Salary Sacrifice)
  
  
• Flexitime (applies to most roles)
  
  
• Private Medical Insurance and Health Cash Plan
  
  
• Cycle to Work Scheme
  
  
• 25 days holiday per year (increases by 1 day annually up to the max. of 28 days)
  
  
• Special occasion leave (eligibility after probation, subject to conditions)
  
  
• Pension scheme
  
  
• Life Assurance and Income Protection Insurance
  
  
• One paid professional membership annually
  
  If you are interested and have the skills and experience required Apply Now!
  
  We will process your CV and personal information to assess your suitability for the role. If we wish to consider you further, we will register your personal information in our database and contact you. We may contact you from time to time about other relevant roles. Your personal information will be securely held. For more information please refer to our privacy notice, a copy of which can be found on our website. – Select Engineering Limited