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GlaxoSmithKline is seeking a Senior Data Scientist to join their Manufacturing Science and Technology (MSAT) team in Upper Merion, US. This role involves developing and deploying advanced data science and AI solutions to enhance manufacturing operations and support data-driven decision-making.
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Job Summary
The Upper Merion MSAT team is accountable for delivering advanced data science, artificial intelligence, and analytics solutions to improve operational performance, accelerate knowledge generation, and support data-driven decision making across manufacturing and technical development.
As a Data Scientist within MSAT, you will play a key role in designing, developing, and deploying data science and AI/ML solutions that enhance manufacturing operations, accelerate technology transfer, and improve product and process understanding.
This role requires strong collaboration with cross-functional teams including MSAT, Manufacturing, R&D, Engineering, Quality, and Digital/Tech organizations to identify opportunities where advanced analytics and AI can drive measurable business outcomes.
Matching Summary
Match Score: 75
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GlaxoSmithKline is seeking a Senior Data Scientist to join their Manufacturing Science and Technology (MSAT) team in Upper Merion, US. This role involves developing and deploying advanced data science and AI solutions to enhance manufacturing operations and support data-driven decision-making.
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Skills & Requirements
Must-have
Advanced data science and AI/ML solutions
Manufacturing process optimization
Technology transfer and process monitoring
Scalable data pipelines and workflows
Digital tools and visualization platforms
Cross-functional stakeholder collaboration
Nice-to-have
Emerging technology evaluation
Data-driven culture promotion
Strong communication skills
Team-based culture embrace
Key Requirements
BS degree with 4+ years of experience or Masters with 2+ years of experience
Expertise in multivariate data analysis (MVDA)
Experience applying machine learning techniques
Experience with Python, R, JMP, and SIMCA
Experience with Databricks and Seeq
Experience developing full-stack data applications