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Data Scientist Machine Learning & E-Health 17612

Veritaz AB

Stockholm

Ansök hos arbetsgivaren Sista ansökningsdag: 2026-06-05
Anställningsform
Tidsbegränsad anställning
Arbetstidstyp
Heltid
Yrke
Data scientist
Yrkesområde
Data/IT
Yrkesgrupp
Systemanalytiker och IT-arkitekter m.fl.
Lönetyp
Fast och rörlig lön
Erfarenhet krävs
Ja
Körkort krävs
Nej
Publicerat
2026-05-06
Sista ansökan
2026-06-05

Om jobbet

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.
Assignment Description
We are looking for a Data Scientist / AI Consultant to support initiatives within e-health and e-prescription services.
What You Will Work On
Develop, train, and evaluate machine learning models
Perform data preprocessing, cleaning, and preparation
Work with use cases such as:
Outlier detection
Data drift analysis
Named Entity Recognition (NER)
Analyze business needs and propose suitable AI/ML solutions
Evaluate models using standard metrics (accuracy, precision, recall, F1-score)
Contribute to documentation and ensure traceability
Collaborate with stakeholders, teams, and end users
Share knowledge through workshops, documentation, and presentations

What You Bring
Experience working as a Data Scientist, AI Developer, or similar role
Hands-on experience training and/or fine-tuning ML models in at least two of the following:
Outlier detection
Data drift analysis
Named Entity Recognition (NER)
Strong experience in data preprocessing and preparation
Experience evaluating ML models using standard metrics (accuracy, precision, recall, F1-score)
Strong programming skills in Python
Experience with at least one ML framework (scikit-learn, PyTorch, or TensorFlow)
Experience working in environments with high standards for quality, documentation, and traceability
Experience in knowledge sharing (documentation, workshops, training sessions)
Excellent communication skills in Swedish (spoken and written)

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