• Citizen

• Full Time

• Direct Hire

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 17th May 2022

The position

• The Key responsibilities the position holds is Support, drive and develop data science solutions that can give new business insights impacting quality performance across Novo Nordisk,
• Develop data structure, identify sources and secure data quality in the quality organisation and quality processes in cooperation with the NNQBI team
• Provide expert level Data Science and Data Analytics consultancy for the organisation (CVP area, Digital Quality and others), Provide inputs and support execution of strategy for Digital Quality. Help identify areas or processes where Artificial Intelligence solutions can create business value.

Qualifications

• Masters with min 3 years relevant experience/ Bachelor with min 5 years relevant experience(Experience 8-15years)
• Strong knowledge within field of expertise and broader business understanding across SVP area or in general pharma value chain
• Experience in supporting scientific projects/tasks and realizing their business value
• Develop Artificial Intelligence solutions such as natural language processing, Machine Learning applications to maximize utilization of data that drives continuous optimization of the Novo Nordisk quality performance.
• Analyse quality data and pilot/develop application to explore and Applies subject matter knowledge to solve common business issues. Later scaling to more areas or integrate in other systems.
• Help identify areas or processes where Artificial Intelligence solutions can create business value.
• Develop and maintain an IT platform to support data analysis and development and operationalization of data science solutions.
• Understand and design data structure in collaboration with process experts and data owners
• Identify unexploited data sources and include them in structure if relevant
• Investigate data quality and clean data where necessary
• Decide on which tools to use and explore
• Cooperate effectively with other data scientists in department (and adjacent areas)
• Hereunder also drive the mindset of using data for decision making and teaching techniques to colleagues at all levels across the organisation
• Communicate effectively to colleagues with other backgrounds
• Provide analysis and input on where to go with data science and what technology to use
• Establish international visibility and interaction with the business globally.