Location Mount Vernon, Indiana, United States
Job ID R-232092
Date posted 21/07/2025
Job Description
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
Are you ready to revolutionize the way AstraZeneca delivers life-changing medicines to patients? As a Data Scientist, you'll be at the forefront of transforming data into actionable insights using statistical, machine learning, and AI methodologies. Your role will involve preparing and analyzing both structured and unstructured data, developing advanced modeling algorithms, and presenting findings in a way that drives business decisions. You'll collaborate directly with business users to understand their needs and develop strategies that ensure impactful insights. Join our dynamic Digital Lighthouse team and partner with business members to deliver data-driven solutions that enhance manufacturing operations.
- Establish strong relationships with PETs, Supply Chain, Quality, IT, and Data Analytics teams to understand business needs and deliver digital projects on time.
- Plan and prioritize site digital use cases, facilitating business analysis to identify opportunities for improvement.
- Translate complex business problems into model and algorithm solutions.
- Develop a robust understanding of AZ data sources and work with suppliers to enhance analytics capabilities.
- Actively participate in the Digital Lighthouse team and stay updated on trends in analytics and data science.
- Influence local stakeholders on priorities and resource commitments.
- Support digitalization strategies aligned with MTV OPS strategic plans.
- Conduct business benefit analysis on potential digital projects.
- Provide oversight of local and global initiatives around digital solutions.
- Execute work in compliance with GMPs, site policies, and SOPs.
- Maintain a safe work environment by following Health and Safety policies.
- Bachelor’s degree in Engineering (Computer Science, Automation or related science).
- 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 modeling tools (e.g. Python, Dataiku, Snowflake, SAP HANA, SQL).
- Experience with visualization tools (e.g. PowerBI, PiVision) and storytelling with data.
- Familiarity with modern software engineering practices (e.g. GitHub, Jira).
- Data manipulation/preparation skills including SQL and Python.
- Credibility with the business through operations domain knowledge.
- Hands-on experience interrogating real-world datasets for insight.
- Ability to explain complex methods to non-technical audiences.
- Proven experience creating and deploying digital solutions in manufacturing.
- Knowledge of Lean methodologies including process mapping and continuous improvement.
- Strong engagement, communication, and stakeholder management skills.
- Experience in virtual collaboration for innovative solutions.
- Ability to challenge, negotiate, and influence.
- Benefits Management and Realisation.
- Self-motivated with adaptability in a fast-paced work environment.
- Strong analytical, problem-solving, and innovation skills.
- Project delivery and business analyst experience.
- Experience/certification in Agile and SCRUM methodology.
- High proficiency in Tulip, Power BI, Power Apps or similar applications.
- Familiarity with programming languages.
- Experience working in a global organization with complex contexts.
- Broad understanding of Supply Chain processes and systems.
- Manufacturing knowledge.
- Supply Chain knowledge.
- Experience working in a regulated environment.
AstraZeneca offers an empowering environment where your contributions make a real difference to patients' lives. With a focus on innovation and growth, you'll be part of a team that values proactive solutions and scientific backing. Our collaborative culture encourages sharing expertise across functions, ensuring that every voice matters. As we continue to expand our pipeline, you'll have the opportunity to grow your career alongside exciting new products and technologies.
Ready to make an impact? Apply now to join AstraZeneca's journey in transforming healthcare through data science!
Date Posted
22-Jul-2025Closing Date
Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.
