SUPPLY CHAIN DATA SCIENTIST

Supply Chain Data Scientist Why AstraZeneca? At AstraZeneca when we see an opportunity for change, we seize it and make it happen, because any opportunity no matter how small, can be the start of something big.
Delivering life-changing medicines is about being entrepreneurial - finding those moments and recognising their potential.
Join us on our journey of building a new kind of organisation to reset expectations of what a bio-pharmaceutical company can be.
This means we’re opening new ways to work, pioneering cutting edge methods and bringing unexpected teams together.
Introduction to role Supply Chain Digital & Analytics is charged with ensuring our stakeholders have access to the data, insights, and innovations required to deliver against our Supply Chain Digital Strategy.
Tasked with supporting a rapidly expanding set of projects and analytical demand, we are seeking Data Scientists, who can help advance the field within the Supply Chain Organization and deliver meaningful solutions that strive to solve our biggest challenges.
Accountabilities.
As a Supply Chain Data Scientist, you will build domain-specific knowledge regarding supply chain in AstraZeneca, working closely with stakeholders to understand key business problems and bring Data Science solutions to resolve.
You will also advance the development of internal capability for Data Science within supply chain, including Artificial Intelligence (AI), and Machine Learning (ML).
Your role will be pivotal in driving awareness of the value Data Science offers our global supply chain.
Essential Skills/Experience.
- Bachelor's degree in a quantitative field (e.
., applied mathematics, computer science, physics, economics, engineering, statistics, operations research, quantitative social science, etc.) - Minimum of two years experience in Supply Chain Projects (demand planning & forecasting inventory, optimization, logistics, network design, segmentation, and S&OP) in sophisticated and complex environments - Advanced statistical modeling, machine learning, data mining, unstructured data analytics in corporate and/or academic research environments - Strong quantitative and analytical skills with a minimum of two years of experience with data science tools, including Dataiku, SAS, AWS Sagemaker - Two years of developing machine learning methods, including familiarity with techniques in clustering, regression, optimization, recommendation, neural networks, and others - Familiarity with programming for data analysis; ideally Python, SQL, or R Desirable Skills/Experience.
- Pharmaceutical industry experience - Proven knowledge in artificial intelligence, machine learning, data science, and other relevant technical domains When we put unexpected teams in the same room, we ignite ambitious thinking with the power to inspire life-changing medicines.
In-person working give 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 outstanding and bold world.
Are you interested in joining our team? Good, because we can’t wait to hear from you! Date Posted 14-may- Closing Date 14-jun- 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.
Somos una compañía biofarmacéutica global e innovadora.
En AstraZeneca nos enfocamos en el potencial de la ciencia para hacer frente a las necesidades no cubiertas de los pacientes en todo el mundo.
Nos comprometemos en aquellas áreas en las que creemos que realmente podemos cambiar el curso de la medicina y hacer realidad nuevas grandes ideas.
Somos un lugar donde la libertad de pensamiento y la creatividad alimentan nuestra determinación por marcar la diferencia a través de la ciencia.
Nuestra ciencia vive más allá de nuestros laboratorios.
Nuestra perspectiva global significa que utilizamos el talento y la experiencia de todo el mundo para hacer que nuestros medicamentos sean exitosos.
En AstraZeneca el único que puede poner límites al alcance de su carrera eres tú.
Con los conocimientos adecuados y la pasión te ayudaremos a explorar lo que AstraZeneca puede ofrecerte.
Our Inclusion & Diversity (I&D) mission is to create an inclusive and equitable environment where people belong, using the power of our diversity to push the boundaries of science to deliver life-changing medicines to patients.
Inclusion and diversity are fundamental to the success of our company, because innovation requires breakthrough ideas that only come from a diverse workforce empowered to challenge conventional thinking.
We’re curious about science and the advancement of knowledge.
We find creative ways to approach new challenges.
We’re driven to make the right choices and be accountable for our actions.
As an organisation centred around what makes us human, we put a big focus on people.
Across our business, we want colleagues to wake up excited about their day at the office, in the field, or in the lab.
Along with our purpose to bring life-changing medicines to people across the globe, we have a promise to you.
to help you realise the full breadth of your potential.
Here, you’ll do work that has the potential to change your life and improve countless others.
And, together with your team, you’ll shape a culture that unites and inspires us every day.
This is your life at AstraZeneca.