Here at PepsiCo, we have a 12 month student placement opportunity working in our Statistics team in our Research & Development team based in Leicester.
PepsiCo products are enjoyed by consumers more than one billion times a day in more than 200 countries and territories around the world. PepsiCo generated more than $64 billion in net revenue in 2018, driven by a complementary food and beverage portfolio that includes Walkers, Gatorade, Pepsi-Cola, Quaker and Tropicana. PepsiCo's product portfolio includes a wide range of enjoyable foods and beverages, including 22 brands that generate more than $1 billion each in estimated annual retail sales.
Guiding PepsiCo is our vision to Be the Global Leader in Convenient Foods and Beverages by Winning with Purpose. “Winning with Purpose” reflects our ambition to win sustainably in the marketplace and embed purpose into all aspects of the business. For more information, visit www.pepsico.com.
At PepsiCo innovation takes centre stage. That means our Global R&D team are at the heart of the action and are kept busy creating exciting new products for consumers across the world. In a fast-moving consumer environment, our research and development capability is crucial to provide a fresh twist to our favourite brands as well as creating new healthy choices that we need to succeed in the market. Focusing our research and development on meeting the latest consumer needs - whether nutrition, refreshment or indulgence –will drive our growth both now and in the future.
Working in our Statistics team, your role will be to support project managers general statistical analysis (i.e. design, evaluation, development and analysis of experiments, and sampling regimes), and data science related requests (i.e. tool generation, data manipulation and handling, and programming as required) across all functions. It’s truly an amazing opportunity.
What you’ll get up to:
- You will be able to Influence the use of statistical tools across the organisation to drive more efficient use of data and better decision-making.
- Liaising with technical experts locally and globally, external resources (universities, consultants etc) and using literature searches to deliver key aspects of work streams. Leverage internal and external resources to identify, implement, and sustain new ways to analyse and interpret data to better enable the organization to deliver against required business results.
- Manage the storage of data and knowledge management systems for the Global Stats team.
- Communication (written and verbal) of project updates to Line Manager, peers and key project stake holders (including R&D, Finance, Operations, Engineering etc).
What we’re looking for:
- Undergraduate student, following path to a degree level qualification in Mathematics, Statistics, or Data Science.
- Initiative and drive to deliver results of trials and activities and able to be pro-active and multi-task.
- Good interpersonal skills with the ability to communicate to a diverse audience.
- High degree of self-motivation combined with good organisational skills.
- Confident to challenge where appropriate but willing to accept final decision is held by line manager.
- Encouraging teammate with an accurate, methodical, tidy and reliable approach.
- Good communication, verbal and written.
- Computer-literate (Microsoft Office). Working knowledge in R programming, JMP, Minitab, or MATLAB would be preferable.
This 12 month placement starts in July 2020, with a salary of £17,500
We have a range of flexible benefits to offer you, from a competitive pension scheme, to mobile phone discounts - there’s something for everyone!
Application Closing Date – 27th October
Our application window is scheduled to close on the above date, however, in the event of a large response we will close applications early. We would therefore encourage you to apply early.Relocation Eligible: Not Applicable
We are an equal opportunity employer and comply with the Equality Act 2010, we value diversity at our company; it is an essential part of our success. We do not discriminate on the basis of age, pregnancy or maternity, marital/civil partnerships, religion or belief, sex or sexual orientation, gender or gender reassignment, disability or race including; colour, nationality, ethnic or national origin.