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 a Data Scientist 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 Wuxi Supply site is Astrazeneca Digital Lighthouse, Lean Digital team is leading site digital transformation to smart factory,  We operate 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 entire value 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 a Data Scientist, you will direct the application of sophisticated quantitative expertise in advanced mathematical disciplines to develop innovative data-science solutions. Success in this role requires the combination of domain knowledge and application of advanced modelling algorithms to generate business insights. You will work in a collaborative environment in project teams that are close to the business, delivering solutions of high value. You will work with other Data Scientists and partnering groups to promote standard methodologies across multiple domains. You are adaptable and are willing to learn new tools and technologies. You are interested in advancing your career while improving our team’s effectiveness within AstraZeneca.

Typical responsibilities include:

·      Coordinate the implementation of novel modelling solutions designed to drive the interrogation of datasets for insights within defined project scopes. This includes integrating complex data from multiple different sources and modalities and applying specialized approaches from data science

·      Use domain-specific understanding to translate unstructured, complex business problems into tractable data problems for which analytical solutions can be created

·      Develop advanced predictive models and computational methods to guide and shape decision-making within project scopes

·      Operate as a subject-matter expert by providing training and advice to collaborators regarding the optimal use of key data, analysis platforms, and data science

·      Build and manage effective relationships with partners to ensure value realization of delivered resources and services. Clearly and objectively communicate results — as well as their associated uncertainties and limitations — to shape solutions

·      Maintain productionised data-science solutions and ways of working to meet requirements (regulatory and evidential) and high-quality standards within project scopes

Essentials for the role

·      Master’s Degree (or relevant work experience) in mathematics, statistics, , computer science, engineering or a related quantitative field

·      Ability to independently approach other domain fields, evaluate the data readiness, draw conclusions and recommend actions

·      Experience using Python for data manipulation of common data formats and visualization skills for fast idea validation

·      Experience using Python for machine-learning model training and validation

·      Experience with Deep Learning in computer vision, NLP or other fields Self-led and someone who takes initiatives

 ·      A good communicator and used to collaborate with partners who have a wide range of different competencies – including those with no programming experience

·      Experience with database systems (SQL preferred, though NoSQL may also be useful)

·      Fluent in English — both in speaking and writing Desirables for the role Experience with:

 ·      Cloud platforms (e.g., Snowflake, AWS, Azure)

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

·      Business intelligence tools (e.g., Qlik Sense, Power BI)

·       Chinese

 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.

Date Posted

Closing Date

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.