AI Engineer
Data Science & Advanced Analytics
Working across a wide range of data and AI initiatives, you will help design, build, and maintain ML and data science applications. As an intermediate engineer, you will collaborate closely with data scientists, product teams, and subject‑matter experts to develop practical, scalable solutions that support AIML‑driven products.
You will contribute throughout the product development lifecycle—helping transform prototypes into reliable services, implementing software that exposes data science models to business users, and supporting continuous improvement across the engineering workflow.
Your typical activities will include:
- Deliver engineering features that are robust, maintainable, and aligned with team standards
- Build and maintain CI/CD pipelines for on‑premises and cloud deployments
- Collaborate with data scientists to productionize models and improve code quality
- Contribute to product quality through testing, monitoring, and iterative improvements
- Participate in code reviews and provide constructive feedback
- Support documentation efforts for services, workflows, and model integrations
- Apply SDLC practices consistently in daily work
- Share knowledge across teams and contribute to a collaborative engineering culture
Qualifications
- Relevant software engineering experience in collaborative, team‑based environments
- Strong understanding of computer science fundamentals
- Proficiency in backend Python development
- Experience with microservices and distributed systems
- Familiarity with LLM orchestration frameworks such as LangChain or LangGraph
- Experience deploying models to cloud platforms (AWS, GCP, or Azure)
- Knowledge of container orchestration such as Kubernetes
- Experience with relational databases
- Exposure to workflow tools like Airflow
- Solid grasp of software engineering principles, version control, and testing
- Experience with CI/CD and deploying code to production
- Ability to build RESTful APIs
- Clear written and verbal communication
- Understanding of Agile practices and experience working in Agile teams
What We Offer
- Opportunities to work on impactful AI solutions in healthcare and pharma
- A collaborative, research‑driven environment with real‑world influence
- Growth through hands‑on innovation, mentorship, and continuous learning
- Competitive compensation and benefits
The Team
Data Science & Advanced Analytics – with departments in Frankfurt, Philadelphia, Milan, Madrid, Athens, Warsaw and Beijing as well as a network of more than 300 experts worldwide - is the global competence center for statistics and data science at IQVIA. Data Science & Advanced Analytics is responsible for developments of the statistical procedures and methods used for quality assurance processes, data imputations, data projections, forecasting and many other for healthcare panel data including pharmacy sales, ecommerce data, hospital consumption, physician level prescriptions and longitudinal anonymized patient level data.
Joining the Data Science & Advanced Analytics team provides the opportunity to work with large and complex data and methodologies in a fast-paced, ever-changing environment to support international customers. As a member of our team you can expect exciting international projects with interesting development perspectives.
Why Join?
Those who join us become part of a recognized global leader still willing to challenge the status quo to improve patient care. You will have access to the most cutting-edge technology, the largest data sets, the best analytics tools and, in our opinion, some of the finest minds in the Healthcare industry.
You can drive your career at IQVIA and choose the path that best defines your development and success. With exposure across diverse geographies, capabilities, and vast therapeutic and information and technology areas, you can seek opportunities to change and grow without boundaries.
We know that meaningful results require not only the right approach but also the right people. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes.
It's an exciting time to join and reimagine what's possible in healthcare.
IQVIA is a strong advocate of diversity and inclusion in the workplace. We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success. We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.
The potential base pay range for this role, when annualized, is €47,300.00 - €70,900.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.
