The Data Scientist will collaborate closely with the marketing team and other business stakeholders, analysing and interpreting internal customer and marketing data our broad set of platforms and systems to deliver customer and marketing performance insight and make recommendations for performance improvement.

Main Responsibilities 

• Build algorithms and design experiments to merge, manage, interrogate, and extract data to supply tailored reports to marketing colleagues or wider organisations.


• Use machine learning tools and statistical techniques to produce solutions to problems.


• Test data mining models to select the most appropriate ones for a project, such as segmentation, attribution modeling, white space mapping, etc. 


• Maintain clear and coherent communication, both verbal and written, to understand data needs and report results.


• Create clear reports that tell compelling stories about how marketing and the wider business performs. 


• Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods.


• Horizon scan to stay up to date with the latest technology, techniques, and methods.


• Look for opportunities to use insights/datasets/code/models across other functions in the organisation (for example, in the HR and Sales departments).


• Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work. 

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Experience, Knowledge & Behaviours

• Excellent understanding of machine learning techniques and algorithms.


• Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable.


• Great communication skills.


• Experience with data visualisation tools, such as Powerbi, Tableau, etc.


• Proficiency in using query languages such as SQL, Python, Hive, Pig.


• Experience with working across large databases.


• Good applied statistics skills, such as distributions, statistical testing, regression, etc.


• Good scripting and programming skills.


• Data-oriented personality.


• Performs well managing multiple priorities and working in a matrixed environment.


• Team player and happy to voice an opinion.


• Self-motivated, professional, and proactive.


• Comfortable delivering to tight deadlines.


• Able to build and maintain effective relationships.


• Strong customer focus, both internal and external

What you'll love about Wood Mackenzie

Wood Mackenzie is a place where we are committed to supporting our people to grow and thrive. We value different perspectives and aspire to create an inclusive environment which encourages diversity and fosters a sense of belonging. 
Wood Mackenzie values everyone's contribution and helps them reach their full potential while sustaining an organisational culture of health and well-being.