Data Scientist creating machine learning solutions to detect financial crime at a significant financial institution. Leading model development with business stakeholders and engineers while maintaining compliance standards.
About the role
- Senior Data Scientist developing data models, ML algorithms and BI reports for clinical trials at ICON plc. Coordinate stakeholders and ensure model performance and data accuracy.
Responsibilities
- Coordinate with different functional teams to implement models and monitor outcomes
- Develop processes and tools to monitor and analyze model performance and data accuracy
- Leverage business intelligence tools (e.g., Spotfire) for analysis and review
- Develop custom data models and algorithms to apply to data sets
- Provide specialist support for development, interpretation and application of machine learning models
- Apply analytical and statistical methods to solve identified use cases in an agile manner using various data sources and analytical tools
- Work with key stakeholders to identify opportunities for leveraging company data to drive business solutions
- Liaise, advise and negotiate with key customer groups on requirements and propose innovative data modelling solutions
- Develop and implement capabilities to make provisioning of routine requests more routine, structured and efficient
- Contribute to initiatives that enable faster and more effective data modelling/analysis and provisioning
- Ensure systems, code and documentation are inspection ready
Requirements
- 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 (experience within Clinical Trials or Pharmaceutical industry) preferable but not necessary
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.)
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.)
- Experience leveraging business intelligence/visualization tools (e.g., Spotfire)
- Excellent written and verbal communication skills
- A drive to learn and master new technologies and techniques
Benefits
- Competitive salary
- Various annual leave entitlements
- A range of health insurance offerings to suit you and your family’s needs
- Competitive retirement planning offerings
- Global Employee Assistance Programme (TELUS Health) with 24-hour access to specialised professionals
- Life assurance
- Flexible country-specific optional benefits (childcare vouchers, bike purchase schemes, discounted gym memberships, subsidised travel passes, health assessments, among others)
- Well-being and work life balance opportunities for you and your family
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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