AI Consultant Intern

Aizon

AI Consultant Intern role at Aizon that analyzes data and builds AI-driven solutions for pharmaceutical manufacturing. Collaborating with consulting teams to enhance data-driven decision-making processes.

Posted 7/9/2026internshipBarcelona • 🇪🇸 SpainEntry LevelWebsite

Tech Stack

Tools & technologies

ETLJavaScriptKerasNoSQLPandasPythonReactScikit-LearnTensorflow

About the role

Key responsibilities & impact

Collaborate with AI and Data Consulting teams to analyze complex data, solve client business problems, and deploy scalable solutions into production.
Being a great business influence, linearly linked to the Aizon platform.
Generalize learnings from our AI solutions to help develop new AI-based Native Apps of the Product.
Assist in the training and fine-tuning of Machine Learning models for the Manufacturing Industry, including supervised/unsupervised models, probabilistic models, linear models, text classification, computer vision, and time-series models.
Identify bottlenecks in the ETL pipelines and recommend robust software solutions at scale.
Contribute to a SaaS life cycle through initial prototyping to enterprise-quality testing and final implementations by using Agile methodologies.
Help to validate algorithm implementations in order to meet the rigorous standards of quality set for the Pharmaceutical Industry.
Analyze our customers' data in order to model the behavior of a wide variety of pharma manufacturing processes.
Build AI-driven solutions that fit the needs of the Company's customers, using the tools, algorithms, and software provided by the product developed by our Company.
Help us to build intelligent and reusable solutions for our customers and the product.

Requirements

What you’ll need

Educational background (completed or in progress) in Computer Science, Mathematics, Statistics, Advanced Analytics, or another similar quantitative field - Data Science and Machine Learning are highly beneficial.
Intermediate experience with Python and a general understanding of programming principles and techniques.
Comfortable with Machine Learning-related libraries such as pandas, scikit-learn, TensorFlow, and Keras.
Proficient in spoken and written English.
Nice - have: Understanding of JavaScript React.
Experience working with both relational and NoSQL databases.
Sound knowledge of various operating systems and databases.
Experience in data visualization and dashboard creation tools.
Knowledge of Biotechnological Processes (e.g., fermentation, chromatography, viral inactivation) and Regulations.
Experience in manufacturing (not laboratory) and functional knowledge of equipment such as bioreactors, sterilizers, analyzers, scales, and related SW.

Benefits

Comp & perks

Unique opportunity to join our company as it scales with excellent market traction and huge potential to grow globally
Competitive salary (according to your experience/skills)
Internal training and certifications plan
Career plan
Team-building activities
Top-notch "tech pack" – We are Mac lovers!
An open and collaborative work environment with a young and dynamic team and a very international culture
An opportunity for personal and professional growth, supported by stellar investors and the exciting challenges that come with joining a company at the start of its growth trajectory

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Machine LearningData SciencePythonETL ProcessesData VisualizationStatistical AnalysisSupervised LearningUnsupervised LearningTime-Series AnalysisText Classification

Soft Skills

CollaborationBusiness InfluenceCommunication