Data Scientist

København, Denmark

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Abacus Medicine Group

The Abacus Medicine Group creates better access to medicine. We help life-critical medicines become more widely available.

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Drive meaningful change
At our Data & Analytics 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 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 world

The 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 machine learning, deep learning, and algorithmic solutions, to solve complex business problems.
• Analyze 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 – 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?

If you want to apply for the position, please follow the link and attach your CV.

To help us better understand your motivation and qualifications for this role, we kindly encourage you to attach both your cover letter and academic transcript. This will give us a clearer overview of your interests and the courses you have completed during your studies.


If you have any further questions about the role, please do not hesitate to contact the hiring manager,
Mihai Popovici, Advanced Analytics, Data Science & Tech Lead at mihai.popovici@abacusmedicine.com

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 1,500 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 upcoming summer holiday period, the recruitment process may take slightly longer than usual. We appreciate your patience and understanding.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  6  0  0
Category: Data Science Jobs

Tags: APIs AWS Azure CI/CD Computer Science Consulting Data analysis Databricks Deep Learning Economics Engineering ETL Git Linux LLMs Machine Learning Mathematics MLFlow ML models MLOps Model deployment Pharma Pipelines Predictive modeling Prompt engineering Python Scikit-learn Spark SQL Statistics

Perks/benefits: Career development

Region: Europe
Country: Denmark

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