Placement / Internship

MINI Plant Oxford - Data Analytics, Predictive Analytics & IOT – 13 Months Placement (July 2023)

Computer Science/Analytics/IT/Data Science.

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We believe in creating an environment where our placement student really can learn by doing during their time with us and where they are given their own areas of responsibilities from the start. That’s why our experts treat you as part of the team from day one, encourage you to bring your own ideas to the table – and give you the opportunity to really show what you can do.

BMW Placements

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The Maintenance Digitalisation focusses on the integration of innovation and Industry 4.0 topics within the field of Assembly. This includes; Data Analytics, Smart & Predictive Maintenance, Collaborative Robotics, and IOT device integration.

We are currently looking for 2 students to join the team in Data Analytics, AI & Machine Learning and Data Analytics, Predictive Analytics & IOT. Please note that when you apply for this position you are applying to both of these roles. If you have one as a preference, please note in question 5 of the application questionnaire.

Plant Oxford is the birthplace and heart of MINI production. Manufactured to individual customer specifications, hundreds of MINIs leave the plant’s assembly lines each day, off to meet new owners in more than 110 countries around the world. Three UK plants have a part to play in MINI production – Plant Hams Hall makes engines, Plant Swindon produces body pressings and sub-assemblies for MINI, and all this comes together at Plant Oxford with body shell production, paint and final assembly

Data Analytics, AI & Machine Learning

The Maintenance Digitalisation focusses on the integration of innovation and Industry 4.0 topics within the field of Assembly. This includes; Data Analytics, Smart & Predictive Maintenance, Collaborative Robotics, and IOT device integration.

What will you be doing?

  • Support the Assembly Data Strategy by supporting Data Analytic activities in particular within the field of AI and Machine Learning
  • Analyse data from multiple sources and using BMW IT systems create dashboards to visualise the results
  • Lead small data analytic initiatives focussing on Downtime “Hotspots” within the assembly production system
  • Support the 3D visualisation activities within Assembly

Qualifications

  • Should be working towards a computer science based degree with a target level of 2:2 or above.
  • Alternatively, a Machine Learning / AI based degree
  • Very good general IT skills. (Microsoft Office)
  • Experience of programming languages such as C, C#, java, Python, R etc would be advantageous
  • Previous experience of working within a fast paced environment is advantageous
  • A passion for Data Analytics is desirable.
  • Time-Management, has the ability to deal with multiple topics and meet tight dead-lines.

Why choose us?

  • Great Pay – A competitive annual salary of £21,000, 27 days holiday per annum (pro rata to your contract) and an attractive pension scheme.
  • Rewarding Work-Life Balance – Contracted working hours are 37.5 hours a week Monday to Friday, helping you develop a fulfilling work-life balance.
  • Exciting Additional Benefits – You will have the opportunity to enjoy access to our Advantages scheme, giving you access to a range of offers and discounts, and a subsidised on-site restaurant.

What are we responsible for?

  • Supporting you in your training and ensuring you settle into your role and feel welcomed.
  • Working sustainably and ethically.
  • Providing you with the opportunity to bring your own ideas and develop yourself.
  • Ensuring you are happy with your work-life balance and feel as though your contribution to the business is being valued.
  • Encouraging you to develop your soft skills such as creating working relationships, communicating effectively, delivering presentations and gaining confidence in your own ability, supporting you in both your return to university and your future career.

What do you need to do now?

If this sounds like the opportunity for you, then apply today using the link below.

The next stages of the recruiting process could include: online testing, a video interview and then a face to face or virtual interview with the hiring manager.

Please note:

We operate rolling recruitment, this means we may close the application window earlier than identified, if sufficient applications are received, so please apply early to avoid disappointment.

Please ensure that you complete all of the free text questions for your application to be progressed, and include a role relevant cover letter, explaining why we should consider you for this position.

To be eligible for this position, you must be returning to your studies, for a minimum of 6 months, after completion of this placement, and be able to provide proof of your legal right to work in the UK, if you are not a UK passport holder.  

We are committed to promoting equal opportunities in employment and job applicants will receive equal treatment regardless of gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation.

We've signed the Gradcracker feedback pledge.

(This means that we will supply feedback if requested after an interview.)

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Job ID Number: 220002YN
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Opportunity Overview

  • Deadline: Ongoing
  • Starting: July 2023
  • Starting Salary: £21,000 + benefits
  • 2:2 and above (expected)
  • 13 months
  • Oxford
    (Show map)

Preferred Disciplines...

  • Analytics
  • Computer Science
  • Data Science
  • Information Technology

Also Accepting...

  • All STEM disciplines

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