Job Title: Lead Consultant - Principal AI Engineer

Introduction to role:

Career level: E

Are you ready to tackle the most challenging AI and mathematical optimization problems in the pharmaceutical industry? As a Lead Consultant - Principal AI Engineer, you'll join a global team of technical experts, including AI engineers, data scientists, and software developers. Your mission? To design, develop, and support innovative tools that will revolutionize AstraZeneca's operations, making us more efficient in our quest to improve the lives of millions of patients worldwide. Are you up for the challenge?

Accountabilities:

• Contribute to the design and development of end-to-end mathematical optimization or AI solutions for the business.
• Visualize complex datasets and model outputs using the latest front-end technologies.
• Mentor AI scientists, plan and supervise technical work, and collaborate with stake holders.
• Work within an agile framework and in multi-functional teams to align AI solutions with business goals.
• Engage internal stake holders and external partners for the successful delivery of AI solutions.
• Continuously monitor and optimize AI models to improve accuracy and efficiency.
• Document processes, models, and key findings & contribute to building internal AI capabilities.

Essential Skills/Experience:

• Bachelor's in operations research, mathematics, computer science, or related quantitative field.
• Advanced expertise in Python and familiarity with database systems (e.g. SQL, NoSQL, Graph).
• Demonstrated experience (at least 3 years) using mathematical optimization software such as CPLEX, Gurobi, XPRESS or OR-Tools.
• Experience with heuristic and meta-heuristic algorithms as an alternative to the above software.
• A working knowledge of optimization concepts.
• 5+ years of experience and demonstrable technical skills in developing mathematical optimization solutions for complex real-world problems.
• Proven, hands-on coding experience, knowledge of software development standard methodologies and deployment practices such as CI/CD, testing, version control.
• 5+ years of experience developing high-quality optimization tools. Ideally including Python.
• A track record of understanding and translating complex business problems into engineering problems.
• Creative, collaborative, & product-focused.
• Proficiency in ML libraries sklearn, pandas, TensorFlow/PyTorch.
• Experience productionizing ML/Gen AI services and working with complex datasets.
• Strong understanding of software development, algorithms, optimization, and scaling.
• Excellent communication and business analysis skills.

Desirable Skills/Experience:

• Master’s or PhD in a relevant quantitative field.
• Cloud engineering experience (AWS cloud services).
• Snowflake.
• Software development experience (e.g. React JS, Node JS).

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.

AstraZeneca is where innovation meets large-scale impact. We connect across the entire business to drive transformative change and improve patient outcomes. Our inclusive team thrives on collaboration with leading experts, leveraging cutting-edge techniques to deliver novel solutions. Here, you can raise your personal profile by publishing your work and showcasing your achievements. We empower our employees to drive efficiencies that enable success while maintaining high ethical standards. Join us as we continue our journey towards becoming a digital and data-led enterprise.

Ready to make a difference? Apply now and be part of our transformative journey!

Date Posted

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.