Register Your Interest - Data Scientist Placement - BMW Plant Hams Hall

Job Details

Data Scientist Placement - BMW Plant Hams Hall

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 Group’s 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 position as a Data Scientist. This is a 13 month placement based at Plant Hams Hall within the Data Science, Innovation & Digitalisation department where you 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 Plant's 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.

Qualification:

• Studying towards a Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, Engineering, Physics or other quantitative field and on track to achieve a 2:2 or 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
• 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, giving you access to 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.

About BMW Group

No need to predict the future. You can create it. 

At the BMW Group, we’re committed to creating an environment where our people can learn from others and teach others. Here, our industry-leading experts will treat you as part of the team from day one and give you every opportunity to really show what you can do.

We look for passionate people, from all backgrounds, who will benefit from exploring every opportunity we have to offer; all while showing curiosity and ambition.

We also believe in giving people the skills and experience they need to thrive. That’s why we welcome around 200 individuals on six or 12-month placements each year, within a wide range of business areas.