Student Data Scientist: Hands-on ML & Forecasting

Abacus Medicine Group

København

On-site

DKK 120,000 - 180,000

Part time

6 days ago
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Benefits offered by this job

Mentorship
Flexible student position
Exposure to international organization

Job summary

Abacus Medicine Group is seeking a Student Data Scientist to join the Data Science team within Data, Analytics & AI. You’ll work on predictive modelling, forecasting, AI, and analytics to solve real business problems and contribute to projects with tangible impact across the organization.

You will collaborate with data engineers, analysts, and business stakeholders, gaining exposure to the full model lifecycle while leveraging a modern cloud-based stack.

Qualifications

  • Pursuing a bachelor’s or master’s degree in a data-related field.
  • Strong Python skills with readable code.
  • Experience with data prep using Pandas and SQL.
  • Familiarity with basic ML concepts and model evaluation.

Responsibilities

  • Maintain, monitor, and improve predictive machine learning models.
  • Support model retraining and evaluate performance over time.
  • Contribute to development and testing of forecasting models.
  • Research and build proofs-of-concepts using emerging data science methods.
  • Contribute to the development and maintenance of data science infrastructure.
  • Use AI tools to accelerate coding and data science workflows.

Skills

Python
Pandas
SQL
scikit-learn
Git basics
Communication

Education

Bachelor’s or Master’s in Data Science, Analytics, CS, Math or Stats

Tools

Databricks
Linux CLI
APIs

Job description

Abacus Medicine Group is seeking a Student Data Scientist to join the Data Science team within Data, Analytics & AI. You’ll work on predictive modelling, forecasting, AI, and analytics to solve real business problems and contribute to projects with tangible impact across the organization.

You will collaborate with data engineers, analysts, and business stakeholders, gaining exposure to the full model lifecycle while leveraging a modern cloud-based stack.

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