MINI Plant Oxford - Data Scientist - 13 Month Plac...

Location: Oxford

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We believe in creating an environment where our students 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.

To ensure that we are continually developing our workforce, we are looking for talented and motivated people who will inspire and shape our future business. Each year we offer a number of internship opportunities and are keen to hear from you if you are currently studying an undergraduate degree and are on track for a 2:2 or higher.

Data Scientist Placement

The BMW Group is recruiting an intern to join the Data Analytics and Machine Learning feature team based at Plant Oxford. The 13 month Internship will start July 2022.

What will you be doing?

  • Working as part of a small team, you will be working on predictive and automated operations using Splunk.
  • You will ideally have an analytical mind and a computing background.
  • Ideally the candidate should feel confident communicating complex subjects with counter parts in the business.
  • The tools and processes used will include JIRA, Confluence and Agile Methodology, etc. Training will be given where required.
Qualifications and Experience
  • Working towards a Computer Science & Maths related degree (2:2 or higher)
  • Knowledge of different machine learning algorithms and experience implementing them in code
  • Knowledge of data analysis and data mining techniques, and experience implementing them in code
  • Expertise in using programming tools such as Python, MATLAB, R and SQL
  • A working knowledge of one or more of the following: Linux, Windows Servers, Databases, Networks
  • Excellent organisational and communication skills
  • Highly motivated and able to work on own initiative
  • Ability to multi-task and prioritisation of a varied workload
  • Knowledge of Splunk would be an advantage

Why choose us?

  • Great Pay – A competitive annual salary, 26 days holiday (pro rata to your contract) and a pension scheme as well as a subsided on-site restaurant.
  • Rewarding Work-Life Balance – Contracted working hours are 37 hours a week, with a half-day on a Friday helping you develop a fulfilling work-life balance.
  • Exciting Additional Benefits - Throughout your placement you will be supported by our experts and many fellow students and have the opportunity to enjoy other employee benefits.

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, video interview and then a face to face, or telephone or virtual interview with the hiring manager. This may be in the form of an assessment centre.

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.

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

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 or European passport holder.

Any further questions? Email us on

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