Python, Microsoft, AWS, Hadoop, Big Data, Machine Learning or Cloud Infrastructure Requirements: Degree Knowledge and working with large scale data sets Machine learning techniques experience Working within an Agile Identify and implement data mining / statistics / machine learning techniques Validate and test models Review
leading BI teams, and experience in AI and Machine Learning technologies, with a solid understanding of SQL and ETL processes Experience with AI and Machine learning technologies Solid understanding of contact reporting Lead initiatives to integrate AI and machine learning technologies into BI framework Data management
opportunities through statistical, algorithmic, machine learning and visualisation techniques.
objectives.
role in leveraging advanced analytics and machine learning techniques to extract actionable insights solid foundation in statistical analysis and machine learning algorithms, with hands-on experience applying
role in leveraging advanced analytics and machine learning techniques to extract actionable insights solid foundation in statistical analysis and machine learning algorithms, with hands-on experience applying
Modelling:
Data Scientist with a strong background in machine learning. The ideal candidate must be willing to travel Analysis and Modelling: Develop and deploy machine learning and artificial intelligence models and algorithms roles, including hands-on experience with machine learning, deep learning, and statistical analysis Proficiency Proficiency in data analysis and machine learning tools and libraries e.g. Python, R Strong programming
development
techniques and platforms. Applying statistics, machine learning, and analytical approaches to solve business information needs. Building predictive models and machine-learning algorithms to answer critical business questions process mapping abilities. Understanding of machine learning and operations research. Knowledge of R and