AstraZeneca
AI

Data AI Engineer Intern

AstraZeneca · Barcelona, CT, ES

Actively hiring Posted 5 months ago

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.

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Ai Ai Engineer
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.