Data Scientist - Unilever (UK)
No matter who you are, or where in the world you are, the chances are that our products are a familiar part of your daily routine.
Every day, around the world, people reach for Unilever products. Our brands are trusted everywhere and, by listening to the people who buy them, we've grown into one of the world's most successful consumer goods companies. In fact, 150 million times a day, someone somewhere chooses a Unilever product.
Look in your fridge, or on the bathroom shelf, and you're bound to see one of our well-known brands. We create, market and distribute the products that people choose to feed their families and keep themselves and their homes clean and fresh.
MAIN JOB PURPOSE:
One of the remits of this team is to drive and enable the use of advanced statistical and mathematical approaches to R & D problem solving, developing entirely new R & D methodologies. The successful candidates will be expected to make key contributions to this aim.
KEY ACCOUNTABILITIES:
- To set direction for and lead key parts of the data science programme and delivery to R&D Projects;
- To contribute and develop statistical and mathematical insights, methodologies and applications for new problem solving approaches;
- To seek opportunities to transfer existing methodologies into new applications;
- To develop relationships with and manage specific pieces of work with external partners to a high standard;
- To establish a strong internal and external reputation, through publishing, presentations and networking;
- To coach and mentor within the data science team to assist skill development.
MINIMUM REQUIREMENTS:- BSc or equivalent in Statistics
- PhD in a statistical area preferred. Additional elements of maths/computing would be advantageous
KEY EXPERIENCE:
Expertise in one or more of the following disciplines:
- Time series/spatial analysis
- Statistical modelling
- Data mining
- Bayesian methodologies
- Pattern recognition
- Decision Science
- Information and data visualisation
KEY SKILLS:- Science and technology: statistics & mathematics, computing
- New idea generation: in relation to statistical/mathematical approaches applied to practical problems
- Customer focus and interdisciplinary communication: appropriate strategies to engage the enthusiasm of non-mathematicians for novel mathematical approaches
- Commercial awareness: understanding the impact of your innovation on the Unilever business
- External research and partner management
- External networking: able to build and maintain a network within the external world.
Candidates who have applied can access their status update through the candidate tracking link, or for any additional queries, by contacting the Recruitment Hotline number on 0800 0284 394
Contact: jamesm@stats.gla.ac.uk
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