Data Scientist

The AstraZeneca Mt. Vernon site was established in 1972 and is the flagship site delivering innovative, life changing oral solid medicines. At the site we formulate and pack OSD tablets and capsules for over 60 markets. The Mt Vernon site is complex, the largest AZ production site in the US with over 700 employees. We are located in the southwest corner of the state of Indiana, approximately 15 miles from Evansville, Indiana - the third largest city in the state. The Mt. Vernon site is both collaborative and Inclusive . We have several employee resource groups (ERGs) onsite that are aimed at promoting, celebrating, and educating employees about diversity, inclusion, philanthropy, networking, etc. Each of these groups provide employees with opportunities for interactive and engaging events and initiatives which enhance professional development and provide opportunities to engage with likeminded co-workers.

It is important to us that each employee feels welcome to bring their whole self to work every day. Here is a sneak peek of some of "perks" the MTV site offers: on-site fitness center with access to a personal trainer, on-site walking trail, walking desk, on-site basketball court, ping pong, massage chair, lunch & learns, sustainable & ergonomic office working environment, tuition reimbursement, training/ lifelong learning opportunities, book club, dining center with hot meals, snack market, free coffee and hot tea, climate controlled work environment.

Join AstraZeneca's Digital Lighthouse team as a Data Scientist and play a pivotal role in optimizing the delivery of life-changing medicines to patients. This role offers an exciting opportunity to drive business insight through the manipulation and analysis of data using statistical, machine learning, and AI methodologies. You will engage directly with business users and analytics consumers, understanding business needs, developing appropriate analytics strategy, and ensuring value through the insights provided to the business.

Accountabilities:
As a Data Scientist, you will establish strong relationships with various teams to develop an in-depth understanding of business needs. You will be responsible for delivering digital projects, planning and prioritizing site digital use cases, translating unstructured, complex business problems into appropriate model and algorithm solutions, and developing a robust understanding of relevant AZ data sources. You will also work with suppliers as needed to augment the AZ capability in analytics and participate and partner in local forums for digitalization.

Essential Skills/Experience:
- Bachelor's degree in Engineering (Computer Science, Automation or other related science)
- A minimum of 3 years of experience in software development, data engineering, data analytics or data science
- Manufacturing background and understanding
- Experience in machine learning using unsupervised and supervised methods
- Knowledge of analytical techniques for deriving knowledge from unstructured text
- Use of Data Science modelling tools (e.g. Python, Dataiku, Snowflake, SAP HANA, SQL, OSI Soft Historian and others)
- Experience and knowledge of visualization tools (e.g. PowerBI, PiVision, Javascript, HTML, CSS) and ability to tell a story with the data
- Familiar with modern software engineering practices and the use of modern collaborative tools (e.g. GitHub, Jira, etc.)
- Data manipulation/preparation skills including SQL and Python
- Hands-on experience of interrogating real-world datasets to gain insight
- Ability to explain complex methods and techniques to a non-technical audience
- Work experience in a manufacturing industry with proven experience of successfully creating and deploying a variety of digital solutions to enable business change
- Knowledge of Lean methodologies including process mapping, problem solving and continuous improvement
- Strong engagement, communication and stakeholder management skills, including excellent presentation and influencing skills
- Experience of virtual collaboration to lead, shape and develop innovative solutions
- Ability to challenge, negotiate and influence
- Benefits Management and Realisation
- Self-motivated with high degree of adaptability in dealing with an ambiguous, complex, and fast-paced work environment.

Desirable Skills/Experience:
- Strong analytical, problem-solving and innovation skills
- Project delivery and business analyst experience
- Experience and/or certification in Agile and SCRUM methodology
- High proficiency in Tulip, Power BI, Power Apps or other similar digital applications in advanced data analytics
- Familiar with programming language
- Experience of working in a global organisation with complex/geographical context
- Broad understanding of Supply Chain processes and systems
- Manufacturing knowledge
- Supply Chain knowledge
- Experience of working in a regulated environment

At AstraZeneca's Operations division, we are committed to getting more medicines to patients quickly, affordably, and sustainably. We leverage technology to deliver internally and externally, transforming our ways of working. We create smart factories that help us run better and make AstraZeneca a better place to work. Here, data is used to improve our processes and deliver better for people in need. We are a diverse, multigenerational workforce, united by our curiosity. We share learnings and scale fast.

Join us and play an integral part in delivering life-changing medicines. It's by being digitally-enabled that we can make a bigger impact and contribution to society, the planet, and our business. Feel the backing and investment of our leaders as we accelerate our Digital journey forward.

Ready to make a difference? Apply now and join us in our mission to deliver life-changing medicines!

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.