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Data Scientist

          

SALARY -                    £40k - £55k plus excellent benefits

LOCATION -               Remote, then Central London

 

TEAM

Having built most of the existing Marketing Sciences function, we can vouch for the exceptional quality of talent this marketing agency has managed to attract; not just because of the complexity of data science projects on offer, but also because of the vision of their Marketing Sciences Director. He is extremely energetic and passionate about training and development, and has built a strong culture of collaboration and innovation off the back of this. Every person we’ve placed into the team in the last 2 years, LOVES their job and more importantly, LOVES their team! The work life balance is excellent and there is an adult working environment where you are trusted to deliver and given the freedom to manage your own time.

ROLE

In this role you will apply your advanced analytical skills across a variety of cutting edge data science projects including building recommendation engines, NLP, machine learning, AI and computer vision, using both supervised and unsupervised machine learning methods.

You will face into (often) global brands to deliver to data science solutions and productionise models, helping the clients better understand their customers and influence their behaviour though advanced analytical techniques.

We want Hackers, Data Scientists who can add value through bleeding edge techniques and methodologies, all whilst applying an acute commercial and strategic lens. I’m afraid to say experience with predictive modelling and segmentation builds is not enough here, we need people who have something a little different about their background. You will possibly have a data engineering edge to your experience, will be highly proficient in cloud based technologies, maybe you’ve used some special analytical techniques such as gravity modelling or catchment analysis, perhaps even worked with geospatial data? 

Advanced programming skills in Python are required, as well as an all-round problem solving approach.
 

WHATS IN IT FOR ME?
Exceptionally high level of talent – so peer learning is a reality, you will be inspired by your team, not just senior leaders. Although they are pretty awesome too and lead from the front with clear vision, strategy and commitment to genuinely disrupting what a long standing approach to analytics from marketing agencies alike. Their approach to date has generated incredible clients and a thirst for more and more advanced data science projects – so the best is yet to come and you could be part of that journey. With their rapid growth, there is huge opportunity for promotion and growth into management, whilst also being able to apply your creativity in solution and product design.

Skills and experience required:

  • Educated to degree level in a numerate subject; Mathematics, Statistics, Engineering, Physics, Chemistry, Economics, Machine Learning, Computer Science etc.
  • Proven commercial experience in data science; (possibly) data engineering, (definitely) machine learning and AI, ideally within a marketing environment
  • Strong communication skills and desire to work in a fast paced, client facing, agency environment
  • Strong programming experience with either Python AND SQL as a minimum
  • An interest in working with client stakeholders to identify and deliver to project briefs,

 

TO APPLY

For further information or to apply please contact:

Kate McDermott  - Managing Consultant @ Blue Pelican Marketing


Share through your CV to kate@bluepelican.com

Text me on 07803 503780

Share through your LI profile if you’re non-active and simply curious

 

You don’t have to have a CV to find a new job! We’re always keen to talk to good data experts.

For more vacancies which may suit your needs, please visit us at www.bluepelican.com

 

To learn more about this role, please apply or contact Kate directly on kate.mcdermott@bluepelican.com

How to apply

If this position is of interest please send us your CV here, or you can call Kate McDermott direct on to discuss this and other vacancies that may suit.

Kate McDermott

Email: kate.mcdermott@bluepelican.com