Senior Data Scientist — Berlin – Health Technology

Discover International; Berlin; On-site; EUR 70,000 - 110,000; Full time

Job summary

Discover International in Berlin seeks a Senior Data Scientist to transform unstructured patient narratives into actionable intelligence. You will work closely with the Chief AI Officer to build and validate models that power our Patient Journey Analytics Platform.

In this role you will collaborate with engineering and product teams, design data pipelines, and push state-of-the-art ML methods into production, delivering impact to global health teams.

Qualifications

• 3+ years of professional data science experience, preferably in healthtech/SaaS
• Strong Python (pandas, scikit-learn, PyTorch/TensorFlow or similar)
• Strong SQL with structured and unstructured data experience
• Solid statistics, ML, and data visualization foundations
• Experience with cloud environments (AWS, GCP, or Azure)
• Ability to work independently while collaborating with product/eng/teams
• Full professional fluency in English, written and spoken

Responsibilities

• Analyze and model large, multi-modal patient datasets to surface insights on journeys and unmet needs
• Collaborate with the Chief AI Officer to develop, validate, and scale algorithms for the Patient Journey Analytics Platform
• Work with engineers and product managers to translate data insights into user-facing features
• Design and implement data cleaning, feature engineering, and predictive modeling pipelines
• Communicate results clearly to technical and non-technical audiences to inform decisions
• Stay current with state-of-the-art ML/AI methods and bring new ideas to production

Skills

Python

SQL

Machine learning

Data visualization

Cloud (AWS/GCP/Azure)

Independent work

English fluency

Job description

Senior Data Scientist — Berlin – Health Technology

We are working with a Berlin based AI-native patient intelligence company, backed by leading European healthtech investors. Their platform captures something the life sciences industry has never been able to access at scale: the patient's own account of living with a chronic or rare condition.

About the role

This role puts you at the heart of how that data becomes intelligence.

Working closely with their Chief AI Officer, you'll take unstructured patient narratives, hundreds of data points per person, and turn them into the models, metrics, and evidence that our clients act on. The questions are genuinely open: how do you quantify a patient journey? What signals predict a treatment switch? Where does the data reveal unmet need no one has named yet?

It's a role with unusually short distance between analysis and impact. What you build ships into a live product, in front of global life science teams, and shapes decisions that reach patients with chronic conditions worldwide.

What you'll do

• Analyze and model large, multi-modal patient datasets to surface insights on patient journeys and unmet needs
• Partner with the Chief AI Officer to develop, validate, and scale the algorithms behind our Patient Journey Analytics Platform
• Work with engineers and product managers to turn data insights into user-facing features
• Design and implement pipelines for data cleaning, feature engineering, and predictive modeling
• Communicate results clearly to technical and non-technical audiences, shaping how life science companies make decisions
• Keep pace with state-of-the-art ML/AI methods and bring new ideas into our production stack

What you'll bring

• 3+ years' professional experience as a Data Scientist, ideally in healthtech, SaaS, or a related field
• Strong Python (pandas, scikit-learn, PyTorch/TensorFlow or similar)
• Strong SQL and experience with both structured and unstructured data
• Solid grounding in statistical modeling, machine learning, and data visualization
• Familiarity with cloud environments (AWS, GCP, or Azure)
• Ability to run independently on complex problems while collaborating closely with product and engineering
• Full professional fluency in English, written and spoken