Senior Data Scientist

• 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

Your Profile:

A solutions orientated, analytical and customer focused individual with a global business mind set and a strong background in operational excellence!

Here at ICON we want our employees to succeed and ensure that they are set up for this success through constant training, development and support. To enable success in this position you will have:

• 5+ years of experience in data analysis, statistical modeling, and transforming complex datasets into actionable business insights, supported by a Master's degree or PhD in Computer Science, Data Science, Statistics, or a related field.
• Hands-on experience developing and applying deep learning models to solve real-world business or scientific challenges.
• Strong proficiency in Python and SQL (R is a plus) for data manipulation, analysis, visualization, and extracting insights from large-scale datasets.
• Familiarity with modern cloud and data platforms such as Microsoft Azure, AWS, Snowflake, Databricks, or similar technologies, with the ability to leverage them for scalable analytics and machine learning solutions.
• Exposure to clinical data, clinical trials, or the pharmaceutical industry is advantageous, though not essential.
• Solid understanding of a broad range of machine learning techniques, including clustering, decision trees, neural networks, and other predictive modeling approaches, with awareness of their strengths, limitations, and practical applications.
• Strong knowledge of advanced statistical methods and concepts, including regression analysis, hypothesis testing, probability distributions, and experimental design, with demonstrated application in real-world scenarios.
• Excellent communication and stakeholder management skills, with the ability to translate complex technical concepts into clear, actionable insights for cross-functional teams.
• A naturally curious mindset with a passion for continuous learning, innovation, and staying current with emerging technologies, tools, and industry best practices.

Employment with ICON is contingent upon having the legal right to work in the country where the role is based.

Rewards & Benefits

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

Benefits may vary depending on role and location.

Visit our careers site to read more about the benefits ICON offers.

Inclusion and Accessibility

ICON is an equal opportunity employer. We are committed to building an inclusive and accessible workplace where everyone feels valued and supported.

If you require reasonable accommodations during the recruitment process, please let us know or submit a request here.

Are you a current ICON Employee? Please click here to apply