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Aizon

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

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in Machine Learning model training and fine-tuning, particularly for the Manufacturing Industry, while leveraging Python and relevant libraries to develop AI-driven solutions. Proficient in data analysis, ETL processes, and SaaS lifecycle management within the Pharmaceutical sector.

Highest-signal resume keywords
Machine Learning Model TrainingPython ProgrammingData Analysis and VisualizationSaaS Lifecycle ManagementBiotechnological Processes Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Machine LearningData SciencePythonETL ProcessesData VisualizationStatistical AnalysisSupervised LearningUnsupervised LearningTime-Series AnalysisText Classification
Soft Skills
CollaborationBusiness InfluenceCommunication
Tools & Technologies
PandasScikit-LearnTensorFlowKerasRelational DatabasesNoSQL DatabasesAgile MethodologiesDashboard Creation Tools
Industry Keywords
Pharmaceutical IndustryManufacturingBiotechnological ProcessesQuality StandardsAI Solutions

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