JUNIOR AND SENIOR DATA SCIENTISTS

Unilever is one of the largest consumer goods companies in the world. Our
brands include
Persil washing tablets, Magnum ice-cream, Calvin Klein cosmetics and Brooke
Bond Tea to
name a few. Unilever Research supports and helps to drive the global business
formed by
these brands with world-class fundamental science, research and innovation.

At our Colworth laboratory in North Bedfordshire, the Data Sciences group is an
integral
component of the local and global research effort and is part of a growing
network of
mathematical and statistical modelling groups across Unilever Research. Our
group
member's roles vary greatly, ranging from one-off analyses through to becoming
part of an
innovation or science project team from its inception to completion. The
problems we tackle
cover a wide variety of science areas and applications and include design and
analysis of
laboratory and pilot-plant experiments, clinical (physiological and
psychological) trials,
environmental and safety studies, risk assessment and strategic decision
analyses.
Methodology development and improvement is also a vital part of our role, as is
providing
training to scientists.

We are currently looking to recruit both junior and senior Data Scientists who
enjoy a
challenge and aren't looking for a run-of-the-mill data analysis career.
Ideally, you'll have a
good mathematically or statistically-based degree and a proven ability,
preferably through
post-graduate employment or a Masters degree or Ph.D., of applying and adapting
your
knowledge to solving real-world problems. You'll be enthusiastic, creative,
self-motivated
and able to work in teams from a variety of backgrounds and disciplines. As
part of the
variety inherent in the role of a Data Scientist, you'll need to be able to
grasp scientific
concepts and problems quickly, so a sound knowledge of general science would be
an
advantage. You'll also need exceptional communication skills and be able to
discuss
methodological issues at a level appropriate for both experts and non-experts
in Research and
the business. Good IT skills are also essential and experience with a major
maths or statistics
package such as SAS would be desirable, although full training will be given
where
appropriate.

Applications from graduates and post-graduates involved in mathematical
approaches to
adaptive computation, information theory or data mining are also welcome.

For an informal chat or more information, please contact Andrea Dickens on
01234 222228 or
email: [log in to unmask]
      
If you are interested in a career in Unilever Research, and you have excellent
communication
and interpersonal skills, please send your curriculum vitae and covering letter
quoting
Vacancy Reference Number WL200731014 to our response handling agency:
Maxwell Bruce Selection
26B Renfield Street
Glasgow, G2 1LU
Email: [log in to unmask]

Closing date for applications: 14 July 2000