Data Scientist II at LexisNexis applying statistical analysis and building predictive models for fraud and credit risk. Collaborating with teams to enhance existing products and provide actionable insights.
About the role
- Principal Data Scientist leveraging ML and statistical modeling to enhance GSK's R&D operations. Engage in cross-functional teamwork while delivering data-driven solutions that impact patient outcomes.
Responsibilities
- Build predictive models and AI solutions that solve impactful business problems focusing on clinical operations
- Deliver impactful data science solutions from concept to implementation
- Collaborate in cross-functional technical and business teams
- Communicate complex findings clearly through compelling visualizations
- Set high standards for code quality and technical innovation
Requirements
- PhD (or equivalent) in statistics, data science, computer science, mathematics, engineering, or a related quantitative field
- Advanced R/Python programming with expertise in OOP, data structures, data science libraries, and production deployment
- Strong statistical modelling and machine learning skills
- Pharmaceutical industry experience, particularly in clinical operations
- Expertise in translating business challenges into actionable insights through data-driven approaches
Benefits
- Competitive salary
- Annual bonus based on company performance
- Healthcare and wellbeing programmes
- Pension plan membership
- Shares and savings programme
- Hybrid working model
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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