Data Scientist / ML Engineer at Franklin Templeton designing and productionizing machine learning systems for business solutions. Collaborating with teams to deliver scalable and reliable ML solutions.
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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