Data Scientist

At Getinge we have the passion to perform

Join our diverse teams of passionate people and a career that allows you to develop both personally and professionally. At Getinge, our passion is to secure that every person and community have access to the best possible care, offering hospitals and life science institutions products and solutions that aim to improve clinical results and optimize workflows. Every day we collaborate to make a true difference for our customers – and to save more lives.

Are you looking for an inspiring career? You just found it.

Job Purpose

The Data Scientist develops and maintains Getinge’s Data Platform, designing and implementing data ingestion pipelines, data cleansing procedures, analytics notebooks, and storage structures. They assist in shaping Data Governance protocols, data quality assurance processes, performance and cost optimization, disaster recovery planning, and DevOps processes, collaborating closely within the Digital Engineering IT group, as well as with business analysts, data consumption teams, and machine learning groups. They may be called upon to accomplish related duties and participate in special projects as needed.

Job Tasks and Responsibilities

• Create data science based solutions involving modern ML concepts applied to business use-cases
• Work in and develop LLM or other GenAI capabilities to address business use-cases
• Perform data visualizations and EDA to better understand the usage of existing data to solve business problems
• Develop code to categorize, store and catalog data clusters to better prep them for use in ML solutions
• Run large-scale experiments, from unsupervised pre-training, to fine-tuning, retrieval augmentation and prompt engineering
• Help with MLOps as necessary to study and maintain the good health of models running in production
• Scale models (LLM or otherwise) for use in production
• Design and develop high-quality prompts and templates that guide the behavior and responses of LLM
• Craft prompts to elicit specific information or control the model's output, ensuring desired accuracy, relevance, and language fluency. Optimize prompts to improve user interactions and system performance
• Evaluate LLM models on statistical tests, business metrics, and bias an other regulatory metrics
• Investigating the current state of the art of experimentation practices and causal inferencing/ML techniques identifying opportunities for upscaling the methodology best practices
• Develop and execute advanced data-driven experiments to optimize various aspects of Getinge’s business
• Creation of test hypothesis, experiment design including KPI selection, and collection and analysis of data.

Required Knowledge, Skills and Abilities:

• Strong, demonstrated computer skills, including proficiency in MS Office applications (Word/Excel)

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About us 

Getinge is on an exciting transformation journey constantly looking for new ways to innovate together with our customers to meet the healthcare challenges of the future. We are committed to diversity, equity and inclusion and to sustainability with a goal to be CO2 neutral by 2025. We believe in giving our employees the flexibility they need and make every effort to foster a learning culture that supports their personal development and creativity. Our passionate people hold our brand promise ‘Passion for Life’ close to heart. 

If you share our passion and believe that saving lives is the greatest job in the world, then we look forward to receiving your application and resume. We hope you will join us on our journey to become the world’s most respected and trusted medtech company.