RDQ Data Science Placement 2022

Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It Matter.

As an organization we are committed to developing the next generation of Makers and Bakers. Joining us at an early career stage in our fast paced and ever changing environment will enable you to do more, learn more and grow more. You will be encouraged to step outside your comfort zone– you may even surprise yourself! We will ensure you are given the support you need to be at your best and enable you to be yourself and bring passion and personality. Here you can lean in and speak up and bring your own flavor.

Big enough to reach the top. Small enough to help you get off the ground.

Want a small taste of life at Mondelēz? Then sink your teeth into one of our huge internships.  Our internships are 12 months long and we’ll make you an integral part of our team and give you a real job – with real responsibilities – from day one. We hope to help you expand your horizons and encourage your personal and professional development.

We want to make sure you get the most from your time with us. That’s why once you join we’ll work out ambitious but achievable goals for you. Then through the support of a buddy and regular reviews with your manager, we’ll help you achieve them.

Life in Research, Development, Quality (RDQ)

As an intern at Mondelēz International you will be responsible and fully accountable for a given project from start to finish.  During the placement you will be expected to plan and execute experiments related to your project; produce technical reports/ presentations and periodically communicate your key findings to stakeholders.  You will also have the opportunity to interact with other departments within the RDQ (some 2500 employees) and the wider business.  In addition to this you may also be expected to support other ongoing project activities in and outside your immediate team.

The Role

The Data Sciences team is an organisation of professionals with a variety of degrees in the Science of Mathematics & Computing who have experience in guiding, educating, analysing, interpreting and strategizing for Research, Product Development, Manufacturing, Quality and Marketing.  As the Data Science Industrial Placement Student, you will be working as a member of the team for 12 months. There is flexibility to work in Bournville and/or Reading. You will be provided with introductory training in Design of Experiments and Multivariate Statistics to ensure you are suitably equipped for the role.

In addition to this, you will also:-

• Provide guidance in data collection. 
• Become a competent user of R. 
• Provide guidance in analyses in order to enhance the quality of technical decision making throughout the organisation. 
• Investigate best practice techniques for various types of data, particularly in the area of variability management and multivariate statistics and create guidelines for future use. 
• Work in an organised manner within tight deadlines to ensure that analysis is completed within expected timescales. 
• Be able to work both with a team and independently to undertake a range of analyses  
• Learn how the skills taught as part of a degree course are applied in the context of industry. 
• Provide high quality customer service, to represent the Company in a professional manner. 

What we look for

There are a few things you’ll need to join our tantalisingly innovative company. Along with the confidence to try new and challenging experiences, you must be enthusiastic about learning and eager to reach new heights in creating and sharing joy.   We look for all sorts of qualities in our interns. Drive. Creativity. Interpersonal savvy. Business acumen.

We like people who aren’t afraid to stand alone, who deal with ambiguity instead of ignoring it and who know how to approach any problem, no matter how difficult.

If you have these qualities and are committed to making the most of your talents, you’ll fit right in here.

Candidate Requirements

• Studying towards a Data Science degree. 
• 2:1 degree or equivalent (predicted or achieved). 
• Techniques studying in the first and second years should include probability, programming, Exploratory Data Analysis, web development, data mining, data/database structure, data science, statistics, visualisation. 
• You should be open to acquiring new skills and able to demonstrate strong analytical, communication and presentation abilities. 
• Must have programming skills in at least one of R, Java, Python or C++. 
• Naturally inquisitive and passionate about technical excellence. 
• An ability to solve problems, initiative and flexibility. 
• Ability to be accurate and efficient whilst under time pressure. 
• Open to acquiring new skills and able to demonstrate strong analytical, communication and presentation abilities. 
• Pro-active, highly motivated, ready to take on new responsibilities and build strong relationships. 
• Strength in depth, A levels in Computing, Mathematics or Statistics preferred. 
• Good working knowledge of Microsoft Office. 

We recruit throughout the year and we review our applications on a first come, first served basis. We also reserve the right to close our vacancies early and therefore we recommend that you complete and submit your application as soon as possible. 

Mondelēz is a diverse and inclusive employer with an objective to ensure a fair and equal hiring process. If you require any reasonable adjustments to apply or throughout our assessment process please contact earlycareersenquiries@mdlz.com stating “NE Early Careers” as the subject. 

Our candidate requirements are based on criteria to enable you to succeed in the role. If you have narrowly missed the above requirements and there are extenuating circumstances that you would like us to consider, you can let us know by contacting earlycareersenquiries@mdlz.com stating “NE Early Careers” as the subject and attaching a letter from your school/university to confirm your extenuating circumstances.