Digital Transformation Project Manager

Do you want to utilize your experience in data analysis and business intelligence to help produce life-saving medicines? Great, then you should definitely join our team!

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. We’re focused on the potential of science to address the unmet needs of patients around the world. We commit to those areas where we believe we can really change the course of medicine and bring big new ideas to life.

As an AI engineer, within Wuxi Operations, you’ll play a pivotal role in channelling our scientific capabilities to make a positive impact on changing patients’ lives. We empower the business to perform at its peak and lead a new way of working, combining ground-breaking science with leading digital technology, platforms and data. We do this with a passion – to impact lives through data, analytics, AI, machine learning and more.

What you’ll do

WuxiSupply site is AstraZeneca Digital Lighthouse, Lean Digital team is leading site digital transformation to smart factory. Weoperate in a highly cross-disciplinary environment in close collaboration with a broad variety of expert teams across the company globally. Our analytics projects and solutions span across the entirevalue chain: e.g., Inbound, Warehousing, Weighing & Dispensing, Manufacturing, Quality, and Outbound, as well as support functions such as Maintenance, Supply and Production Planning, etc.

As an AI Engineer, you will work together with internal customers and business stakeholders to developand maintainself-service business intelligence solutions to support fact-based decision making and drive performance improvements across Wuxi Operations.You are interested in advancing your career while improving our team’s effectiveness within AstraZeneca.

Typical responsibilities include:

• Collect, preprocess, and analyze large datasets from various manufacturing systems

• Ensure data quality and integrity by implementing robust data validation procedures

• Implement and optimize machine learning algorithms suitable for large-scale manufacturing data

• Design, develop, and deploy machine learning models to improve manufacturing processes.

• Collaborate with data scientists and domain experts to identify opportunities where machine learning can add value

You will work in a collaborative environment in project teams that are close to the business, delivering solutions of high value.You will be part of a highly competent and capable analytics team having extensive knowledge of both business intelligence and data science as well as businessprocesses. This gives opportunities for continuous knowledge sharing and competence development across the team and wider business.Working with innovations and supporting the business will require that majority of work is done on site, howeverallowing flexibility to work from home when suitable based on work tasks.

Essentials for the role

• Strong programming skills in Python

• Proficiency in data manipulation and analysis using tools such as Pandas, NumPy, and SQL

• Proven experience with machine learning frameworks and libraries such as Scikit-Learn, TensorFlow or PyTorch

• Strong customer focus, good communicator and used to collaborate with partners who have a wide range of different competencies – including those with no programming experience

• Self-led and someone who takes initiatives to get things done

• Minimum of 3 years of experience in machine learning development

Desirables for the role

Experience with:

• Machine learning frameworks and libraries such as Scikit-Learn,TensorFlow orPyTorch

• Time series data analysis, predictive maintenance, natural language processing

• Backend development (e.g., Django, Flask, Spring Boot)

• Software development tools and principles (e.g., version control, shared repositories, CICD, scrum, agile)

It’smeriting if you have knowledge within PI Historian, SAP ECC, Werum PAS-X, Labware LIMS as well as previous experience of the pharmaceutical manufacturing industry.

Why AstraZeneca

At AstraZeneca you’ll make the most of your skills and passion by actively supporting you in your long-term career aspirations. To do this, we’ve built an extraordinary international working environment with outstanding opportunities for collaboration and innovation. If you’re encouraged to make a difference and ready to discover what you can do, join us!

So, what’s next

Are you already imagining yourself joining our team? Good, because we can’t wait to hear from you.

Welcome with your application: CV and cover letter, no later than the 31th of December 2025.