Data Scientist – AI & Advanced Analytics

• Design and deliver analytical machine learning and AI-driven solutions to address healthcare commercial patient and real-world evidence challenges.
• Transform business requirements into scalable analytical approaches methodologies and production-ready solutions.
• Develop and optimize predictive models patient identification methodologies segmentation frameworks forecasting solutions and targeting approaches.
• Build reusable frameworks accelerators and analytical assets that can be leveraged across projects and client engagements.
• Contribute to the design development and deployment of AI and machine learning applications including Generative AI and agent-based solutions.
• Evaluate emerging technologies and conduct proof-of-concept initiatives to enhance existing offerings and create new capabilities.
• Partner with engineering product and business teams to operationalize and scale successful solutions.
• Communicate analytical findings and technical concepts effectively to both technical and non-technical audiences.
• Apply software engineering and data science best practices to support maintainable scalable and production-ready solutions.
• Contribute to innovation continuous improvement and advancement of AI and analytics capabilities within the organization.

• Strong foundation in statistics applied analytics and machine learning.
• Experience developing analytical models and methodologies using real-world data.
• Knowledge of predictive modeling segmentation optimization forecasting and statistical analysis.
• Familiarity with supervised machine learning techniques such as regression models tree-based algorithms and ensemble methods.
• Ability to translate business questions into analytical solutions and actionable insights.

• Proficiency in Python and SQL.
• Experience with software development best practices including version control and code management.
• Ability to build maintain and optimize data processing ETL and machine learning pipelines.
• Experience working with large-scale datasets and distributed computing environments is beneficial.

• Generative AI
• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Semantic Search
• Agentic AI and workflow automation
• AI application development and deployment
• Model evaluation monitoring and governance

• Databricks
• Snowflake
• Spark
• Cloud-based analytics and AI platforms
• Modern AI and machine learning development tools

• Experience building reusable analytical frameworks tools or data products.
• Familiarity with workflow orchestration APIs and solution operationalization.
• Experience converting clinical epidemiological commercial or business rules into scalable analytical solutions.
• Knowledge of healthcare and life sciences industry trends methodologies and data assets.
• Exposure to therapeutic areas such as Oncology Immunology Cardiology Neurology Rare Diseases or Specialty Care.

• Strong analytical and problem-solving capabilities.
• Intellectual curiosity and passion for continuous learning.
• Innovative and pragmatic approach to challenges.
• Product and solution-oriented mindset.
• Ability to work effectively in cross-functional and global teams.
• Strong communication storytelling and stakeholder engagement skills.
• Ability to balance innovation scalability and business value.
• Commitment to quality collaboration and responsible AI practices.
• Passion for using data analytics machine learning and AI to solve meaningful healthcare challenges.

IQVIA is a leading global provider of clinical research services commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements misrepresentations or material omissions during the recruitment process will result in immediate disqualification of your application or termination of employment if discovered later in accordance with applicable law. We appreciate your honesty and professionalism.