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Data Scientist Machine Learning & E-Health 17612
Ansök nu 15 dagar kvar
Forskare Data Scientist Machine Learning Engineer
15 dagar kvar

Arbetsbeskrivning

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)


Mer info

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Publicerad 2026-05-06
Antal platser 1
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