Data & AI Engineer Intern at AstraZeneca

Santanyí, Balearic Islands, Spain -

Full Time

Start Date

Immediate

Expiry Date

18 Apr, 26

Salary

0.0

Posted On

18 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, AI Engineering, Python, Cloud Infrastructure, AWS, Data Analysis, Data Wrangling, CI/CD, Agile, Teamwork, Communication, Adaptability, Software Versioning, AI Technologies, Intelligent AI Agents, Pharma Industry Knowledge

Industry

Pharmaceutical Manufacturing

Description

About AstraZeneca AstraZeneca is an innovation-driven global biopharmaceutical company focused on the discovery, development and commercialization of prescription medicines, primarily for the treatment of cardiovascular, renal and metabolic, respiratory and immunological, oncological and rare diseases. Our Barcelona hub has been created to achieve the next wave of breakthroughs that help us do what’s never been done before, as we expand our global footprint. Harnessing data and using the best technology solutions available allow us to positively impact science. In line with our firm commitment to training and developing exceptional talent, this person will join one of the platforms within the Data, Analytics & AI department (R&D IT org) to learn and grow through active collaboration with the team. The mission of this platform is to accelerate scientific innovation by providing streamlined access to integrated data through advanced virtualization, and secure, compliant data management solutions leveraging state-of-the-art AI technology. Conditions: Duration:6-9 months Hours per day: Full time Location: Barcelona Focus area: Data & AI Engineering Training through practical experience: This internship is designed to provide a supportive learning environment, allowing the intern to gain practical experience in data & AI Engineering tasks. The focus will be on learning and adapting to the role, with active involvement in supporting various engineering and operational activities related to data & AI initiatives. Tasks will include but are not limited to: Assisting with pipeline automation and CI/CD processes Supporting data wrangling and data analysis tasks Basic Python coding Collaborating on cloud infrastructure deployment projects (AWS) Exploring and leveraging agentic and other AI technologies for their federated usage by different domains Applying safe, scalable deployment of intelligent AI agents across R&D IT platforms Adhering to Agile ceremonies and processes Requirements: Currently enrolled as a master's student at a Spanish accredited university or educational institution STEM (Science, Technology, Engineering, and Mathematics) or related degrees preferred Basic understanding of data & AI concepts Basic Python knowledge Basic software versioning knowledge (git) Basic cloud infrastructure knowledge (AWS) Excellent communication and teamwork skills Ability to adapt to a fast-paced environment Interest or knowledge in the pharma industry would be a plus #EarlyTalent AstraZeneca is a company that promotes equal opportunities. AstraZeneca will consider all eligible persons, without discrimination based on disability, sex or sexual orientation, pregnancy or maternity/paternity period, race or origin (national or ethnic), age, religion or belief, identity of gender, marital or de facto partnership status and/or any other characteristic protected by law. Date Posted 16-ene-2026 Closing Date 22-ene-2026 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.

Responsibilities

The intern will assist with pipeline automation, support data wrangling and analysis tasks, and collaborate on cloud infrastructure deployment projects. They will also explore AI technologies and apply safe deployment of intelligent AI agents.