Data Scientist

Accountabilities

• Review and develop working practices to ensure that data science work is delivered to robust quality standards
• Interpret and analyze complex datasets using statistical and machine learning techniques.
• Collaborate with various teams to understand data needs and contribute to data-driven strategies.
• 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 data science projects of defined scope and provide coaching for team members
• Developing, maintaining and applying ongoing knowledge and awareness in trends, standard methodology and new developments in analytics and data science
• Develop, test, and deploy machine learning models to solve business problems.
• Present data insights and models to stakeholders with clarity and effectiveness.
• Continuously evaluate data models and tools to enhance data accuracy and performance.
• Mentor and provide guidance to other team members on analytical techniques. Flexibility to support diverse data tasks and projects as they arise.
  
  

Essential Skills/Experience

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Demonstrable experience in data analysis and machine learning projects.
• Proficiency in programming languages such as Python and experience with ML libraries like TensorFlow or Scikit-learn.
• Strong knowledge of data visualization tools, e.g., Tableau, PowerBI
• Experience with big data technologies, such as Hadoop or Spark..
• Excellent problem-solving skills and attention to detail.
• Good communication skills and ability to interpret data analytics into actionable insights.
  
  

Desirable Skills/Experience

• Experience in enterprise-level integrations and data engineering projects.
• Familiarity with data visualization tools such as Tableau or Power BI
  
  

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

Join a team with the backing and investment to win! You'll be working with ground breaking technology. This marriage between our purposeful work and the use of high-tech platforms is what sets us apart. Lead the way in digital healthcare. From exploring data and AI to working in the cloud on new technologies. Join a team at the forefront. Help shape and define the technologies of the future, with the backing you need from across the business.

Ready to make an impact? Apply now!

Date Posted

13-Aug-2025

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.