Data Scientist in Livingston

ICON plc is a world‑leading healthcare intelligence and clinical research organization. We’re proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development.

What You Will Do

• The Senior Data Scientist is responsible for contributing to the development of the strategy for Analytics, Reporting and Metrics building in line with overall Business Information Services strategy leveraging visualization tools/business intelligence platforms.
• 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 such as 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 throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Liaise, advise and negotiate with key customer groups on requirements and propose innovative solutions to meet their data modelling requirements.
• 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 and code, documentation are inspection ready.

Your Profile

• A solutions oriented, analytical and customer focused individual with a global business mindset and a strong background in operational excellence.
• 3+ years of experience manipulating data sets and building statistical models, with a bachelor degree in Computer Science or a 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 with 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.

What ICON Can Offer You

• Our success depends on the quality of our people. That’s why we’ve made it a priority to build a diverse culture that rewards high performance and nurtures talent.
• In addition to a competitive salary, ICON offers a range of benefits designed to support well‑being and work‑life balance.
• Various annual leave entitlements.
• A range of health insurance offerings to suit you and your family’s needs.
• Competitive retirement planning offerings to maximize savings and plan with confidence.
• Global Employee Assistance Programme, LifeWorks, offering 24‑hour access to a global network of professionals who support you and your family’s well‑being.
• Life assurance.
• Flexible country‑specific optional benefits including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidised travel passes, health assessments, and more.

At ICON, inclusion & belonging are fundamental to our culture and values. We’re dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process or to perform the essential functions of this position, please let us know or submit a request.