AI Scientist

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

AI SCIENTIST

Macclesfield, Sodertalje, Gothenburg, Gaithersburg, Chennai

ABOUT THE OPERATIONS IT TEAM

Operations IT is a global IT capability supporting the Global Operations organisation. We business partner with Operations capability areas: Pharmaceutical Technology Development, Manufacturing & Global Engineering, Quality Control, Sustainability, Supply Chain, Logistics and Global External Sourcing and Procurement. We operate out of Operations hubs sites including in the UK, Sweden, US, and China; and out of our Global Technology Centres in India and Mexico.

Here our work has a direct impact on patients – transforming our ability to develop life-changing medicines. We empower the business to perform at its peak and lead a new way of working, combining cutting-edge science with leading digital technology platforms and data. All with a passion to impact lives through data, analytics, AI, machine learning and more.

It’s a dynamic and challenging environment to work in – but that’s why we like it. There are countless opportunities to learn and grow, whether that’s exploring new technologies in hackathons, or transforming the roles and work of colleagues, forever. This is your chance to be part of a team that has the backing to innovate, disrupt an industry and change lives.

THIS IS WHAT YOU’LL DO

We are recruitingaAI Scientistto join our newly established Data, Analytics & AI groupfor Operations IT spanning various business areas such as Develop, Manufacture, Supply Chain, Quality and Procurement.

As a AI Scientist, you will direct the application of sophisticated quantitative expertise in advanced mathematical disciplines to develop innovative data science solutions. The role will drive the application of foundational and cutting-edge techniques to manipulate, and process structured and unstructured data, in combination with business domain knowledge, to develop and apply advanced modelling algorithms (e.g., classification, regression, clustering, NLP, image analysis, graph theory and more) to generate business insights.

You will work autonomously with limited direct supervision from senior team members. You will also provide support to other AI Scientists promoting best practice across multiple domains, and/or stakeholder groups.

Typical accountabilities include:

• 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. 
• 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.
• 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.

YOU WILL NEED TO HAVE

• BachelorsDegree (or equivalent numbers of years of experience) in operations research mathematics, computer science, engineering, physics, statistics, economics, computational sciences or a related quantitative discipline.
• 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.
• 3-7 years demonstrated experience in the modelling of complex datasets in applied business and/or scientific application domains
• Advanced knowledge and proven experience with the standard data science languages: R and Python (Python preferred) and familiarity with database systems (e.g. SQL, NoSQL, graph).
• Understanding and familiarity with software development principles.
• 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.

WHY JOIN US

• Here our work has a direct impact on patients – transforming our ability to develop life-changing
• medicines. We empower the business to perform at its peak and lead a new way of working,
• combining cutting-edge science with leading digital technology platforms and data. All with
• a passion to impact lives through data, analytics, AI, machine learning and more.
• Join us at a crucial stage of our journey in becoming a digital and data-led enterprise. Make
• the impossible possible by building partnerships and ecosystems, creating new ways of working
• and driving scale and speed to deliver exponential growth. Focused and committed, and backed
• with the investment to succeed, we’re driving cross-company change to disrupt the entire industry.