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Position: Data Scientist
Institution: Adelphi Values
Location: Bollington, United Kingdom
Duties: With the continued growth of our market access, health economics and healthcare value demonstration business we are looking to add a talented Data Scientist to our expanding team. You will have a genuine passion for problem solving and generating robust and elegant solutions based on your experience and knowledge in data science/analysis, machine learning and artificial intelligence. You will contribute technical expertise by identifying and supporting solutions that optimise projects to meet the evolving needs of our clients, helping to drive the growth of our technical innovation, to increase efficiency of current services and develop new innovative services to broaden our client offer. Working within the technology and commercialisation team, you will be contributing to the further development of PROVE’s evidence research and review solutions, client service and commercial success
Requirements: University qualification in computer science/data analytics; Experience in machine learning, artificial intelligence, data visualisation; R, Python, use of data visualisation packages e.g. Power BI
   
Text: Data Scientist With the continued growth of our market access, health economics and healthcare value demonstration business we are looking to add a talented Data Scientist to our expanding team. You will have a genuine passion for problem solving and generating robust and elegant solutions based on your experience and knowledge in data science/analysis, machine learning and artificial intelligence. You will contribute technical expertise by identifying and supporting solutions that optimise projects to meet the evolving needs of our clients, helping to drive the growth of our technical innovation, to increase efficiency of current services and develop new innovative services to broaden our client offer. Working within the technology and commercialisation team, you will be contributing to the further development of PROVE’s evidence research and review solutions, client service and commercial success University qualification in computer science/data analytics; Experience in machine learning, artificial intelligence, data visualisation; R, Python, use of data visualisation packages e.g. Power BI
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