Data Scientist

ABACUS MEDICINE; København; On-site; DKK 700,000 - 1,100,000; Full time

Job summary

ABACUS MEDICINE is seeking a Data Scientist to join the Data, Analytics & AI team in Denmark. You will design, develop, and deploy ML models powering business insights and operational efficiency across the organization.

You will collaborate with data analysts, engineers, product managers and stakeholders to translate complex model outputs into actionable recommendations, build scalable MLOps pipelines, and advance our analytics toolbox through cutting-edge ML/AI techniques.

Qualifications

• Master’s degree in a data science-related field (e.g., computer science, statistics, economics).
• Advanced Python programming skills and data science proficiency.
• Ability to translate complex model results into actionable insights for stakeholders.
• Experience with ML/DL techniques and scalable pipelines is desirable.

Responsibilities

• Design, develop, and deploy advanced models to solve business problems.
• Analyze tabular datasets to generate actionable insights.
• Design and maintain scalable MLOps pipelines for deployment and monitoring.
• Promote best practices and expand the DS/ML toolbox for performance gains.
• Strengthen technical infrastructure with modern technologies for scalability.
• Evaluate emerging ML/AI methods, including LLMs, to improve model performance.
• Translate model results into actionable insights for technical and non-technical stakeholders.
• Share expertise through knowledge-sharing and sparring sessions.
• Identify potential data science applications for value creation and roadmap planning.

Skills

Advanced Python

Data analysis

Data visualization

English communication

Team collaboration

Education

Master’s degree in data science related field

Tools

SQL

Web APIs

Git

Linux commands

Job description

Drive meaningful change

At our Data, Analytics & AI department, we specialize in data visualizations, BI tools, analytical consulting, statistics, forecasting, and modern data platforms. Working closely with various departments across Abacus, we combine our analytical expertise with a deep understanding of pharmaceutical markets—from product development to delivery.

We believe that robust Data Science and AI can give Abacus Medicine a competitive edge, uncovering trends and behaviors that drive smarter decision-making. Our advanced machine learning (ML) techniques transform complex market data into actionable forecasts. Join us on our growth journey and help shape the future of the pharmaceutical industry.

Get a glimpse of our worldThe Data Science team consists of five highly skilled professionals, all dedicated to improve global healthcare through better access to medicine by delivering critical data and insights that drive informed decision-making.

In this role, you will collaborate closely with cross-functional teams—including data analysts, data engineers, product managers, and key business stakeholders to develop data-driven solutions that scale.

Are you ready to embark on this journey with us?

As a Data Scientist, you will play a key role in developing and deploying machine learning models that power business insights and operational efficiencies and support tactical and strategic decision-making across Abacus Medicine.

Your responsibilities will include:

• Design, develop, and deploy advanced models, including classical machine learning, deep learning, and algorithmic solutions, to solve complex business problems.
• Analyze tabular datasets to generate actionable insights, ensuring data-driven decision-making.
• Design and maintain scalable MLOps pipelines for seamless model deployment, monitoring, and lifecycle management.
• Promote best practices in Data Science by optimizing workflows and expanding the DS/ML toolbox with tools that enhance model accuracy, runtime, and maintainability.
• Strengthen our technical infrastructure by integrating modern technologies that enhance efficiency, scalability, and long-term maintainability.
• Drive innovation by evaluating and integrating emerging ML/AI methodologies, including LLMs, to enhance model performance.
• Translate complex model results into actionable insights for both technical and non-technical stakeholders.
• Share expertise through knowledge sharing and sparring sessions.
• Proactively identify potential data science applications for value creation.
• Contribute to branch development initiatives and long-term planning, including roadmap definition.

Fuel for your success in the role

We imagine you have:

• Master’s degree in a data science-related field (e.g., computer science, cognitive science, IT, mathematics/statistics, economics).
• Advanced Python programming skills.
• Proficient in Data Science skills including classical machine learning for tabular data, ML frameworks (scikit-learn, deep learning frameworks), data wrangling, data analysis, and visualization.
• Experienced with the following technologies: SQL, Web APIs, Git, Linux commands.
• Excellent English communication skills with the ability to present complex data clearly to non-technical stakeholders.
• Show genuine care for both team dynamics and the success of the organization, fostering a positive and inclusive work culture.

Preferred qualifications:

• Prior working experience in applying data science, with a focus on machine learning and predictive modeling.
• Familiarity with the following technologies: MLOps, Spark, Cloud platform (e.g. Azure/AWS), mlflow, ETL processes, CI/CD processes.
• Databricks environment for building and deploying ML models.
• Leveraging LLMs for enhancing the performance of ML models through prompt engineering and embeddings.

Interested?

Would you like to know more about us?

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.

Please note that the position will remain open until we find the right candidate, after which the job advertisement will be removed. We encourage interested applicants to submit their applications as early as possible. Please note that due to the ongoing summer holiday period, the recruitment process may take slightly longer than usual. We appreciate your patience and understanding.