Job description
Do you want to utilize your experience in AI & machine learning 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 a Data Scientist, within Sweden Operations in Södertälje, 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
The Analytics & Insights team is part of the Digital Business Transformation function within Sweden Operations. 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 Sweden Operations value chain: e.g., Inbound, Warehousing, Weighing & Dispensing, Manufacturing (several factories with different products and technologies), 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 provide support to other Data Scientists and partnering groups to promote standard methodologies across multiple domains.
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
You have a Degree (or relevant work experience) in operations research mathematics, computer science, engineering or a related quantitative field. You’ll need experience using Python with multiple modern machine-learning methods including supervised learning (e.g. regression and classification), unsupervised learning (e.g., clustering and dimensionality reduction), and neural networks. You act with self-leadership and is someone who take initiatives. You’re a good communicator and are used to collaborate with partners who have a wide range of different competencies – including those with no programming experience. Needed is also your:
- Experience with database systems (e.g., SQL, NoSQL, graph)
- Experience with manipulating and analysing high-dimensional unstructured datasets, drawing conclusions, defining recommended actions, and reporting results
- Fluent in English — both in speaking and writing
Desirables for the role
Experience with:
- Cloud platforms (e.g., AWS, Azure)
- Software development tools and principles (e.g., version control, shared repositories, CICD, scrum, agile)
- Business intelligence tools (e.g., Qlik, Power BI)
- Swedish
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 22th of May 2022.
By the way: If you have a public version-controlled repository showcasing your portfolio of data-science projects, we are happy to get the link as part of your application. This could include examples of: deep learning, random forests, ensemble methods, elastic net regression, ARIMA models, support vector machines, naïve Baye’s classification, nearest-neighbors classification, hierarchical clustering, k-means clustering, deterministic and stochastic optimisation, or other advanced statistical modelling.
