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Strategy Consultants – Predictive Analytics £50-80K


This global strategy consultancy is looking to rapidly expand its predictive analytics and data-science expertise; hiring consultants with the ability to apply numerical thinking and modelling techniques to commercial real-life issues. The role is extremely varied with the opportunity to work across multiple industry streams and dealing with a wide range of potential problems, from pricing within a retail distribution environment, through to monetisation within gaming, smart analytics in utilities and predictive modelling across tourism and leisure. The opportunity is boundless with the right candidate being able to help shape and drive the go-to-market strategies for this group.


You will need to have a strong analytical background, able to apply predictive modelling techniques to large data sets in order to drive actionable, unique insights that can be used to shape and direct business strategies. The client list is phenomenal, offering the opportunities to work with leading global brands in every sector; you will need to have in-depth knowledge of your vertical, providing credibility with senior stakeholders in the client with your ability to understand their unique issues and to craft bespoke solutions that meet those needs.


Essential Skills:


– Strong predictive modelling skills, utilising advanced statistical packages (SAS, R, SPSS etc)
– Strategic thinking – ability to apply numerical problem-solving skillsets to commercial situations
– Consulting capability – experience of working within a consulting environment or an internal strategy, data-driven role within a leading corporate
– A passion for analytics, demonstrated by a clear knowledge of cutting-edge concepts and next-generation possibilities.


This role offers an opportunity for a data-passionate consultant to work on some of the most complex and intriguing business puzzles available in the market today, combining it with a meteoric career development path and top-quartile remuneration package.


To apply, please send your CV and covering letter to