Senior Data Science Manager - Permanent


Contract Type:


Recruiter Name:
James Baker


Senior Data Science Manager 
Up to £80,000

cer Financial are working with a leading payments company to fill their new vacancy of an Senior Data Science Manager. 

The successful Senior Data Science Manager responsibilities will be:

  • Take lead to progress advanced data science capability. 
  • Your team and you will advance new growth opportunities by analysing patterns in enormous collections of existing & new data sources; produce insight that shapes and informs key strategic and business choices and inspire stakeholders with algorithmic solutions of complex business matters.
  • Be passionate about & has real world experience of Machine Learning and Data Science methods, specifically the applications in numerous aspects of decision optimisation and have applied these methods on several consumer focused businesses or other mass data environment (Examples include consumer banking, credit cards, retail, travel, technology industry).

The Senior Data Science Manager skills will include:

  • Bachelors Degree in a quantitative field (Mathematics, Statistics, Machine Learning, Computer Science, Engineering etc.) (Ph.D. preferred) or comparable
  • Strong acquaintance of some supervised and unsupervised machine learning methods, such as Regression methods (e.g. Ridge Regression, Lasso Regression, Logistic Regression), Ensemble and boosted classifiers (e.g. Random Forests, XGBoost), Support Vector Machines, Neural Networks, Clustering methods (e.g. k-Means, DBScan), Natural Language Processing among others. 
  • Solid practical programming experience with at least one of the standard data science tools, Python (Pandas, Scikit-Learn etc), R, Scala/Spark
  • Experience building analytical pipelines e.g. to organise machine learning models into creation
  • Involvement with the Hadoop ecosystem, ideally CDH/Impala/Hive and/or traditional database systems, including advanced SQL querying
  • Proficiency of using classical statistical methods (such as Linear Regression, Decision Trees) in a commercial environment.
  • Knowledge in a mass data environment with analytics to drive revenue growth or manage risk/costs in the business
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James Baker

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