Senior Specialist, Data Science — Operational Data Strategy (ODS)

About this role

Requirements

• and Experience,
• Bachelor’s degree in computer science, data analysis, statistics, engineering, or
• a related
• discipline (or equivalent experience).
• Master’s degree in computer science, data analysis, statistics, applied mathematics, or
• a relevant
• discipline (or equivalent experience).
• Demonstrated expert knowledge of analytics and visualization tools such as Python, Power BI, and Spotfire, with emphasis on delivering advanced analytics outputs over dashboards.
• Familiarity with database systems (SQL and NoSQL), ETL pipelines, cloud environments, and software development best practices, including reproducibility and version control.
• Demonstrated experience developing complex data analyses in business and scientific domains, including Clinical Operations.
• Excellent written and verbal communication skills in English, with the ability to clearly communicate uncertainties, assumptions, and limitations.
• Strong understanding of data science principles, machine learning algorithms (classification, regression, clustering), statistical inference, and model evaluation methodologies.
• Desired
• Experience working in Agile delivery environments and exposure to modern
• MLOps
• practices.
• Evidence of process improvement and standard setting across analytics workflows, model governance, and stakeholder adoption.
• Date Posted
• 03-cze-2026
• Closing Date
• 15-cze-2026
• AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.