Decision Scientist

Job Title: Decision Scientist

Career Level - D2

Introduction to Role:

Join us at AstraZeneca as a Data Specialist and shape the next chapter of our growth story. This role is an opportunity to contribute to our big ambitions for the future, with the commitment and determination to build on our growth.

Accountabilities:

As a Data Specialist, you will be part of our Enabling team that supports the delivery of life-changing medicines for patients by enabling the rest of the business to run effectively and harness our transformative science. You will be responsible for data analysis, statistical modeling, and machine learning, with a focus on NLP applications. You will work closely with engineering teams to design, deploy and operationalize models into production environments.

Essential Skills/Experience:

• 9 + years of experience

• Bachelor's or Master's degree in Computer Science, Statistics or Mathematics.

• Solid Experience in data analysis, statistical modeling, and machine learning, preferably in a business service organization with a focus on NLP applications.

• Proficiency in programming languages such as Python and/or R with experience in libraries and frameworks for NLP and GenAI.

• Strong understanding of statistical concepts and methodologies, including hypothesis testing, regression analysis, and experimental design.

• Proven track record of driving business impact through data-driven decision-making and strategic problem-solving.

• Ability to work effectively in a fast-paced, collaborative environment, with a passion for continuous learning and professional development.

• Excellent communication skills, with the ability to translate complex technical concepts into actionable insights for non-technical stakeholders.

• Relevant Certifications such as Mathematics for Machine Learning and Data Science Specialization (deeplearning.ai), Machine Learning Specialization (deeplearning.ai), Associate Certified Analytics Professional or any two intermediate certificates from deeplearning.ai.

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.

At AstraZeneca, we're always adapting and challenging the status quo, it's what helps us to succeed. We're a team of talented people from different countries and cultures united by our deep knowledge of processes. We have a business acumen that keeps us focused on the macro effect of our decisions that drive our numbers and how we work. We're here to learn and grow. It's why we're drawing on our diverse global knowledge and experiences. To seamlessly work and develop together.

Ready to make your mark? Apply now!

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 authorisation and employment eligibility verification requirements.