Contributing to the development of the strategy for Analytics, Reporting and Metrics
Coordinate with different functional teams to implement models and monitor outcomes
Develop processes and tools to monitor and analyze model performance and data accuracy
Leveraging business intelligence tools for analysis and review
Develop custom data models and algorithms to apply to data sets
Providing specialist support for development, interpretation and application of machine learning models
Applying analytical and statistical methods to solve identified use cases
Work with key stakeholders throughout the organization to identify opportunities
Liaising, advising and negotiating with key customer groups on requirements
Responsible for the development and implementation of capabilities for routine requests
Contributing to initiatives that enable faster and more effective data modelling/analysis

3-5 years of experience manipulating data sets and building statistical models
Master's or PhD in Statistics, Mathematics, Computer Science
Experience using statistical computer languages Python & SQL (R Considered)
Experience working with and creating data architectures
Experience of clinical data and domains preferable but not necessary
Knowledge of machine learning techniques and their real-world advantages/drawbacks
Knowledge of advanced statistical techniques and concepts
Excellent written and verbal communication skills
A drive to learn and master new technologies and techniques.

Competitive base salary and performance related incentives
Health and wellbeing programmes including medical, dental, and vision coverage where applicable
Retirement and pension plans
Life assurance and disability coverage
Employee assistance programmes and wellbeing resources
Learning and development opportunities through structured training and career pathways

Senior Data Scientist

Key skills