As a Data Scientist at BGL Group you will be experienced in building
and implementing machine learning algorithms, and motivated by working in a
fast paced environment where you are encouraged to experiment and be creative.
You will be joining an ambitious, highly skilled and sociable
team, who despite being part of a large company, still have that “start-up”
feel. Our team sits on one of the
biggest data assets in the UK and has access to powerful technology which is able
to instantly deploy those models. We pride ourselves on our ability to research
and develop new, more powerful, predictive modelling approaches and turn them
into business benefit. Last year we
built and deployed over 600 predictive models that generated several £millions
of incremental value in a competitive digital marketplace, for some of the
UK’s biggest brands and require passionate Data Scientists to join us and
continue this success.
What will you be
You will be responsible for researching, developing and
- new and more powerful predictive modelling
concepts to be applied in ‘real-time’
- new data features that enhance performance of
What will it take
to be successful?
- You will have a degree in Mathematics, Statistics
or other analytical subject
- You will have coding expertise in R, Python, SQL
- You will be inventive, which will enable you to
engineer powerful features from our comprehensive range of data
- You will have a track record of building and
implementing machine learning algorithms on large datasets that have delivered
- You will possess the confidence to challenge, be
experimental, admit failure, and learn from it
Why choose us?
Research and Development is at the heart of the team’s ethos. We believe that allowing our employees the
freedom to be innovative in their approach, is the best way to achieve our
business objectives, and we take time to learn about the latest thinking in
machine learning and feature extraction.
You will work alongside expert colleagues, who exchange and build upon
each other’s ideas.
Where is the role
In our Head Office in Peterborough, with the opportunity to
work from home one day per week.