Senior Data Scientist
ICON is a global healthcare intelligence and clinical research organisation united by a mission to bring new medicines and treatments to patients faster. As a values-driven organisation, integrity, collaboration, agility, and inclusion are at the heart of how we work and interact with each other, customers, patients and suppliers. As a Data Scientist, you will be dedicated to one of our global pharmaceutical clients, a company that values performance, recognizes merit and has a high focus on quality. This environment encourages innovation, individuality and embraces people that want to be a part of it. What You Will Do:
ICON offers a competitive and comprehensive total rewards package designed to support your health, wellbeing, and career development. Benefits may include:
ICON is a global healthcare intelligence and clinical research organisation united by a mission to bring new medicines and treatments to patients faster. As a values-driven organisation, integrity, collaboration, agility, and inclusion are at the heart of how we work and interact with each other, customers, patients and suppliers. As a Data Scientist, you will be dedicated to one of our global pharmaceutical clients, a company that values performance, recognizes merit and has a high focus on quality. This environment encourages innovation, individuality and embraces people that want to be a part of it. What You Will Do:
- 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 i.e Spotfire 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 in an agile manner using various data sources and analytical tools.
- Work with key stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Liaising, advising and negotiating with key customer groups on requirements and proposing innovative solutions to meet their data modelling requirements.
- Responsible for the development and implementation of capabilities to make provisioning of routine requests more routine, structured and efficient.
- Contributing to initiatives that enable faster and more effective data modelling/analysis and provisioning.
- Ensuring systems and code, documentation are inspection ready.
- A solutions orientated, analytical and customer focused individual with a global business mind set and a strong background in operational excellence!
- 3+ years of experience manipulating data sets and building statistical models, has a bachelor degree in Computer Science or related field.
- Experience using statistical computer languages Python & SQL (R Considered) to manipulate data and draw insights from large data sets.
- Experience with cloud and data platforms such as Microsoft Azure, AWS, Snowflake, Databricks, or similar technologies would be advantageous.
- Experience of clinical data and domains (Experience working within Clinical Trials or the wider Pharmaceutical industry) preferable but not necessary.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- Excellent written and verbal communication skills for coordinating across teams.
- A drive to learn and master new technologies and techniques.
ICON offers a competitive and comprehensive total rewards package designed to support your health, wellbeing, and career development. Benefits may include:
- 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
Vacancy posted a month ago
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