Abacus Medicine Group

Student Data Scientist

Abacus Medicine Group  •  Kingdom of Denmark (Onsite)  •  4 hours ago
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Job Description

Drive meaningful change

Are you curious, analytical, and eager to apply your data science skills in a real business environment?

As a Student Data Scientist, you will join the Data Science team within Data, Analytics & AI and contribute to developing, maintaining, and improving machine learning solutions used across Abacus Medicine Group. Working alongside experienced data scientists and engineers, you will gain hands-on exposure to the model lifecycle and work with predictive modelling, forecasting, AI, analytics, and real-world business problems.

Get a glimpse of our world

Our Data Science team consists of five skilled professionals dedicated to developing innovative, data-driven solutions to core business challenges. We turn data into predictive insights and solutions that support informed decision-making and contribute to improving access to medicine across Abacus Medicine Group.

Working closely with data engineers, analysts, and business stakeholders, you will gain exposure to both the technical and business sides of data science while contributing to real projects with meaningful impact across the organization.

Are you ready to embark on this journey with us?

In this role, you will work hands-on with predictive models and contribute to a range of data science initiatives, from model improvement and forecasting to experimentation with new tools and approaches.

Tasks you can expect to work on day to day include:

  • Maintaining, monitoring, and improving predictive machine learning models.
  • Supporting model retraining and evaluating model performance over time.
  • Contributing to the development and testing of forecasting models.
  • Researching and building proof-of-concepts using emerging data science methods, tools, technologies, and modelling approaches.
  • Contributing to the development and maintenance of technical infrastructure supporting data science solutions.
  • Using AI tools to accelerate coding, analysis, and day-to-day data science workflows.

Fuel for your success in the role

You are currently pursuing a bachelor’s or master’s degree in Data Science, Business Analytics, Computer Science, Mathematics, Statistics, or a related field, and you are motivated to work with predictive modelling, forecasting, analytics, and data-driven decision-making in a real business environment.

We imagine that you:

  • Have intermediate-level Python programming skills and can write structured, readable code.
  • Have hands-on experience with classical machine learning for tabular data, for example using scikit-learn.
  • Are comfortable working with structured data using pandas and SQL, including data preparation, transformation, exploratory analysis, and feature development.
  • Understand core machine learning concepts, including model training, validation, performance evaluation, and overfitting.
  • Have some familiarity with, or are interested in learning, Git, web APIs, and basic Linux command-line tools.
  • Have an interest in applied AI, including prompt engineering and using AI tools to support coding and data science workflows.
  • Can communicate analytical findings clearly to both technical and non-technical colleagues.
  • Can work independently on defined tasks while proactively seeking input and feedback when needed.

What we offer

  • Hands-on experience working with predictive models and data science solutions used across the business.
  • Exposure to the full model lifecycle, from development and experimentation to deployment, monitoring, and continuous improvement.
  • The opportunity to work with a modern cloud-based data science stack, including Databricks and AI-enabled development tools.
  • Mentorship and collaboration with experienced data scientists and other data professionals.
  • Insight into how data-driven decision-making supports business operations across an international organization.
  • A flexible student position in a collaborative and supportive team.
  • A strong student environment across Abacus Medicine Group.

Are you interested?

If you want to apply for the position, please follow the link to share your CV and Motivation. Please share a transcript, curriculum, or similar document outlining your completed and ongoing courses.

Would you like to know more about us?

Follow us on Instagram and LinkedIn and get an insight into everyday life at Abacus Medicine. For job openings, check our Career page.

Moving Healthcare. Moving You.

In Abacus Medicine Group, you’ll experience the power of Moving Healthcare. With our change mindset, we're moving the industry and improving healthcare as we broaden access to medicine.

But it's not just about moving healthcare, it's about Moving You. You’ll be part of a caring community of more than 1,750 people across the World. With us, you will be valued, empowered, and have a direct impact on driving change. Let's access the future of medicine and make a difference together. Your move.

Abacus Medicine Group

About Abacus Medicine Group

Even the best medicine in the world won’t work if it never reaches the patient, and insufficient access is a large and growing problem.

The Abacus Medicine Group offers a range of different solutions and services that provide better access to life-critical medicine at affordable prices to millions of patients across the world. Our business purpose holds a substantial positive impact on healthcare systems and society and is something we're proud of.

The company was founded in 2004 by CEO Flemming Wagner and Medical Director John Wagner and has experienced significant growth ever since. Today, we are more than 1,500 colleagues moving healthcare in Europe and beyond.

The Abacus Medicine Group is among the 100 largest Danish companies.

The Group operates as four brands: Abacus Medicine, Pluripharm, Abacus Medicine Pharma Services and Originalis.

Learn more about the Abacus Medicine Group on our website below.

Industry
Chemicals & Materials
Company Size
501-1,000 employees
Headquarters
København, DK
Year Founded
Unknown
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