Data Scientist

2 weeks ago

Oxfordshire, United Kingdom Omnis Partners Full time

Data Scientist

Up to £50,000

Gaming Company - Mobile and App

Full-Time in the Office


A Game Development Company renowned for its popular sports games are hiring for a Data Scientist to sit within their growing Data Science team and aid Game Development across Mobile Applications.


Company

Founded in the early 2010s, the company specialises in creating immersive gaming experiences with high-quality graphics and engaging gameplay. It has gained a large player base and critical acclaim for its innovative approach to mobile gaming.


Role

The key responsibilities of this role would be:

  • Develop and maintain tools to monitor key metrics and analyse performance variability for actionable insights.
  • Conduct in-depth analyses to understand user behaviour and enhance the overall experience.
  • Design and evaluate experiments, supporting the development of data governance and business intelligence tools.


Skills Needed

  • BSc/MSc/PhD in a Quantitative Subject
  • Strong skills in SQL, Python, and Data Modelling.
  • Proficient in Statistical and Data Visualisation techniques
  • Experience working in the Gaming Industry is critical


Salary and Benefits

The successful candidate will get a basic salary of up to £50,000 plus a competitive benefits package


How to Apply

Please apply via the link on the advert to send your CV to Corey Haigney at Omnis Partners, or send your CV to and reference the Job Advert.


#MachineLearning #DataScience #ArtificialIntelligence #DeepLearning #BigData #AI #ML #DataAnalytics #DataMining #NeuralNetworks #DataVisualization #Analytics #Python #RStats #DataScientist #Kaggle #Statistics #PredictiveAnalytics #DataEngineering #BusinessIntelligence #DataScienceCommunity #AIResearch #MachineLearningEngineer #DataAnalysis #TensorFlow #SciPy #NLP #ComputerVision #DataDriven #DataScienceLife #DataScienceTips #DataScienceTraining #DataWrangling #DataScienceProjects #MachineLearningModels #AIethics #DataEthics #FeatureEngineering #SupervisedLearning #UnsupervisedLearning

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