Typical Accountabilities: • Coordinate the implementation of novel modelling solutions designed to drive the interrogation of datasets for insights in scientific and business application areas within defined project scope. This includes integrating complex data from multiple different sources and modalities includes the application of specialized approaches in classification, regression, clustering, NLP, image analysis, graph theory and/or other techniques. • Using domain-specific understanding, translates unstructured, complex business problems into the appropriate data problem, model and analytical solutions • Researches and develops advanced predictive models and computational methods to guide and shape decision-making within the project scope. • Provide training and advice to collaborators on optimal use of key data, analysis platforms and the appropriate use of data science. • Apply expert AI research techniques, including establishment of hypotheses that can be approached using computational methods and tools. Present or publish findings for conferences and in peer reviewed journals. • Build and manage effective relationships with stakeholders to ensure utilization and value of information resources and services. Clearly and objectively communicate results, as well as their associated uncertainties and limitations to shape solutions • Provide advanced data science expertise to cross-functional projects and shape delivery of data science solutions that drive value to AstraZeneca • Apply a range of data science methodologies, developing novel data science solutions where off-the-shelf methodologies do not fit • Develop, implement and maintain required tools and algorithms in a manner which meets regulatory and evidential requirements within project scope • Leads small (2-3 person) data science projects of defined scope and provide coaching for junior team members • Developing, maintaining and applying ongoing knowledge and awareness in trends, standard methodology and new developments in analytics and data science • Review and develop working practices to ensure that data science work is delivered to robust quality standards Typical People Management Responsibility (direct / indirect reports): • Approximate number of people managed in total (all levels) - 2-3 • Manager of a team • Matrix Manager – (projects/dotted line) What is the global remit? (how many countries will the role operate in?): • Another country Education, Qualifications, Skills and Experience: • Essential: Masters degree in mathematics, computer science, engineering, physics, statistics, economics, computational sciences, or a related quantitative discipline; or equivalent experience; Demonstrated experience with modern data science approaches, including unsupervised and supervised classification and regression algorithms such as k-means clustering, support vector machines, random forests, neural networks and deep learning. May also have expertise in advanced statistical modelling, or broader aspects of applied mathematics such as dynamical systems or optimisation.; Proven demonstrated experience in the modelling of complex datasets in applied business and/or scientific application domains; Advanced software development skills in at least one of the standard data science languages (such as R, Julia or Python) and familiarity with database systems (e.g. SQL, NoSQL, graph); Experience of manipulating and analysing large high dimensionality unstructured datasets, drawing conclusions, defining recommended actions, and reporting results across stakeholders; Understanding of algorithm design, development, optimization, scaling and applications; Excellent written and verbal communication, business analysis, and consultancy skills; Good understanding of at least one business area where the data science is applied • Desirable: PhD degree in mathematics, computer science, engineering, physics, statistics, economics, or a related quantitative discipline.; Comfortable working in high performance computing or cloud environment; Proven track record of publishing relevant predictive modelling results and tools in peer-reviewed journals, conferences, and other scientific proceedings.; Experience in life sciences and healthcare; Experience in novel methods development and application Key Relationship to reach solutions: • Internal (to AZ or team): Project and program managers; Key business and scientific collaborators; Mid to senior level managers in scoping and prioritizing opportunities • External (to AZ): Support services from key vendors; Peers across professional groups; Academic collaborators in relevant areas

Compensation Pay Range:

135,457.60 - 203,186.40 USD Annual

The annual base pay (or hourly rate of compensation) for this position is outlined above. Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program (salaried roles), to receive a retirement contribution (hourly roles), and commission payment eligibility (sales roles). Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Date Posted

06-Jan-2026

Closing Date

25-Jan-2026

Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.