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We are looking for a CRM and VIP Data Modeller that will be responsible for the groups data science projects, within primarily the CRM & VIP area, from conception stage to testing, delivery and optimisation.
What you will be doing:
Identify, analyse, define and understand business problems.
Prototype data science models.
Use exploratory analysis methodologies to identify patterns and trends to use with the right statistical methods (clustering, PCA, regression, significance testing).
Work with descriptive and predictive analytics (e.g. linear regression & propensity models, customer segmentation, data mining and trigger identification).
Work with the Machine Learning Engineer, within the data function, to implement and productionise the models whilst monitoring the performance.
You're good at: Understanding of statistical methods.
Understanding in at least one analytical language (Python, R, SPSS).
Someone with experience manipulating large datasets using SQL or similar.
You have a degree or MSc/PhD in a quantitative area such as Statistics, Maths or Economics.
Communicating with commercial stakeholders, explaining data concepts in a non-technical language.
Working in a dynamic environment with a very flexible approach.
Being a team player. Collaboration between teams will be essential in this role.
Extra awesome: Someone with experience in machine learning techniques.
Someone who understands the programming language Scala.
What you will be doing:
Identify, analyse, define and understand business problems.
Prototype data science models.
Use exploratory analysis methodologies to identify patterns and trends to use with the right statistical methods (clustering, PCA, regression, significance testing).
Work with descriptive and predictive analytics (e.g. linear regression & propensity models, customer segmentation, data mining and trigger identification).
Work with the Machine Learning Engineer, within the data function, to implement and productionise the models whilst monitoring the performance.
You're good at:
Understanding of statistical methods.
Understanding in at least one analytical language (Python, R, SPSS).
Someone with experience manipulating large datasets using SQL or similar.
You have a degree or MSc/PhD in a quantitative area such as Statistics, Maths or Economics.
Communicating with commercial stakeholders, explaining data concepts in a non-technical language.
Working in a dynamic environment with a very flexible approach.
Being a team player. Collaboration between teams will be essential in this role.
Extra awesome:
Someone with experience in machine learning techniques.
Someone who understands the programming language Scala. For further information on package and full job spec please contact us.
We continually demonstrate our dedication by exceeding our clients’ expectations each and every time we work together.
