Shape the Future of Data Science in Life-Saving Medicine Production at AstraZeneca!
Are you passionate about leveraging AI, machine learning, and advanced analytics to drive innovation and impact in healthcare? At AstraZeneca, we put patients first and strive to meet their unmet needs worldwide. Working here means being ambitious, thinking big, and working together to make the impossible a reality. Join us as we harness the power of science and technology to truly change the course of medicine and bring bold new ideas to life.
As a Data Scientist within Sweden Operations in Södertälje, you will play a pivotal role in transforming our operations through cutting-edge analytics and advanced data science solutions. You will join a highly collaborative and cross-disciplinary environment, working alongside expert teams across the company to fuel fact-based decision-making and empower process optimization throughout our value chain.
What You'll Do
The Data, Analytics & AI team is integral to the Strategy & Performance function in Sweden Operations. You will work side by side with other data scientists, analysts, and technology experts, delivering insights and developing innovative data-driven solutions that optimize business processes and support strategic projects. Our analytics initiatives span Inbound, Manufacturing, Quality, Outbound, and critical support functions such as Maintenance, Supply, and Production Planning.
- In this role, you will: Coordinate the implementation of innovative modelling solutions, integrating complex data from multiple sources and modalities to generate actionable insights.
- Translate unstructured business challenges into analytically tractable problems, applying state-of-the-art machine learning and statistical models.
- Develop and deploy predictive models and computational methods that guide decision-making and operational improvements.
- Act as a subject-matter expert by providing training and advisory services, and ensuring best practices in data science and analytics across Sweden Operations.
- Communicate data-driven insights clearly and objectively, influencing partners and shaping impactful solutions.
- Maintain robust, production-grade data science workflows, ensuring compliance, quality, and sustained business value.
- Leverage generative AI, large language models, and advanced ML to automate processes, enhance data insights, and solve complex business problems.
What We're Looking For
- Master’s degree (or equivalent experience) in operations research, mathematics, computer science, engineering, or a related quantitative field
- Proven experience with Python and advanced machine learning methods, including supervised and unsupervised learning, neural networks, generative AI such as large language models, and computer vision models
- Demonstrated proficiency across the full data science workflow
- Strong skills in manipulating and analyzing high-dimensional datasets, drawing actionable conclusions, and communicating technical results or requirements to business stakeholders in business-friendly language
- Hands-on experience with SQL databases
- Excellent collaboration and communication skills, with the ability to engage effectively with multidisciplinary teams and stakeholders
- Fluency in English, both spoken and written
Desirable Experience
- Experience with AWS cloud platform & Snowflake
- Familiarity with software development tools, including Git, Docker, Kubernetes, CI/CD, and agile methodologies
- Experience working in multinational or digitally mature organizations
- Proficiency in Power BI, Dash, Tableau
- Swedish language skills
Why AstraZeneca?
At AstraZeneca, you’ll have the opportunity to truly make an impact, contributing to the production of life-saving medicines while developing your career in a forward-thinking, global organization. We offer an extraordinary international working environment with excellent opportunities for collaboration, innovation, and professional growth. Diversity and inclusion are at our core, ensuring everyone can thrive.
What’s Next?
Are you ready to help lead the digital transformation of medicine production? Apply now, submit your CV and cover letter no later than August 27th 2025.
By the way: If you have publicly available repositories or a portfolio showcasing data science or analytics projects (deep learning, ensemble methods, AI, optimization, etc.), include a link with your application.
Join us, and together we’ll turn big data into bold ideas that change patients’ lives.
