Data Scientist Machine Learning & E-Health 17612
Veritaz AB
📍 Sverige
⏰ Heltid
📋 Tidsbegränsad anställning
🗓 Ansök senast 5 juni 2026
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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)
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)