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Job description

We believe in creating an environment where our placement students really can learn and develop during their time with us and where they are given their own areas of responsibilities from the start. Our experts and mentors will treat you as part of the team from day one, encouraging you to bring your own ideas to the table and giving you the opportunity to really show what you can do.
BMW Group Plant Hams Hall is a modern, state-of-the-art engine manufacturing facility, located just outside Birmingham, UK. Producing the latest generation of three and four cylinder petrol engines, and precision machining key engine components, the plant has recently celebrated 20 years of successful production. Operating seven days a week, with more than one engine rolling off the line per minute, the plant plays a key role in BMW Groups global production network, supplying engines for BMW and MINI, including some of the latest plug-in hybrid vehicles.
Data Scientist - 13 Month Placement

We are offering an interesting and challenging positionas aData Scientist. This is a 13 month placement based at Plant Hams Hall within the Data Science, Innovation Digitalisationdepartment whereyou will be an integral asset to our data and digitalisation strategy. Our manufacturing systems produce significant amounts of data and we need data scientists to analyse and explore the potential within this data to support our business opportunities.

What will you be doing?

• Working within the Plants innovation team in an agile project management environment and collaborating with global partners.
• Data mining, applying statistical methods and predictive analytics on big homogeneous data sets.
• Working with large data sets on big data platforms (e.g Hadoop, AWS, Spark).
• Developing dashboards and analytical tools.
• Improving production processes and efficiency using machine learning techniques.

Qualifications:

• Studying towards a Bachelors degreein Mathematics, Statistics, Computer Science, Data Science, Engineering, Physics or other quantitative field and on track to achieve a 2:2or above.
• Excellent verbal and written communication skills.
• High intrinsic motivation, creativity, project management skills and entrepreneurial thinking.
• Strong programming language skills in one or more of the following (e.g. Python, Java, C#, C++, R).
• Experience with Excel and data visualisation tools, preferably PowerBI.
• Understanding of Oracle / SQL databases.
• Familiar with data mining, machine learning, statistical signal processing and pattern recognition.

Why choose us?
Great Pay A competitive annual salary of 21,000, 26 days holiday per annum (pro rata to your contract) and an attractive pension scheme.
Rewarding Work-Life Balance Contracted working hours are 39 hours a week, with a half day on a Friday, helping you develop a fulfilling work-life balance.
Exciting Additional Benefits You will have the opportunity to enjoy other employee benefits, including access to our Advantages scheme which gives you a range of offers and discounts, an on-site gym 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, video interview and then a face to face, 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.
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.
Closing date for applications: Tuesday 14th February 2023
Any further questions? Email us on [email protected]