Data Scientist

Data Scientist Location: SVK - Bratislava – Svatoplukova By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use.  I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description The Future Begins Here: At Takeda, we are creating a future-ready organization that uses data and digital to meet the needs of patients, our people, and the planet. We need your help to make this happen. Join our Innovation Capability Center (ICC) in Bratislava, Slovakia. At Takeda’s ICC we Unite in Diversity: Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and the abilities they bring to our company. We are continuously improving our collaborators’ journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team. THE OPPORTUNTY We’re looking for a Data Scientist to turn pharmaceutical manufacturing data into actionable insights. You’ll develop AI/ML models, predictive monitoring tools, and AI-enabled digital twins that optimize processes and ensure high product quality. At Takeda, you will work on cutting-edge AI/ML applications that directly impact product performance, quality and patient supply. You will collaborate in a forward-thinking, innovative environment and see your models make real-world impact on manufacturing processes. RESPONSIBILITIES: Build and deploy AI/ML models for forecasting, anomaly detection, and process optimization. Write testable, versioned, packaged and clean Python code. Unit/integration testing; CI/CD (GitHub Actions/SonarQube) to Databricks jobs or containerized services; observability (logging/metrics/traces) and model monitoring and re-training. Work with manufacturing and laboratory datasets and handle continuous data through applying time-series analysis and signal processing. Collaborate with manufacturing science engineers, scientists, and IT to integrate models into workflows. Create dashboards and visualizations to communicate insights to stakeholders. SKILLS AND QUALIFICATIONS Education Requirements Bachelor’s or Master’s in Data Science, Computer Science, or STEM (Chemical/Biochemical Engineering a plus). Strong ML/AI experience (Classical ML: KNN, SVM, Random Forest/GBMs etc.). Deep learning: CNNs/RNNs/GRU, autoencoders, Backprop/Autodiff Time-series and signal processing expertise; experience with noisy/high-dimensional data ( state‑space/Kalman, spectral methods, autoregressive model, change point control) Python and SQL proficiency; experience with MLOps platforms (Databricks, MLflow, AWS). Strong communication skills to convey insights to technical and non-technical audiences. Desired Skills: Experience with pharma, biotech, or chemical manufacturing datasets. Familiarity with workflow automation/orchestration tools (Airflow, n8n) and cloud deployment (Docker, Kubernetes, Azure ML, AWS Sagemaker). WHAT TAKEDA CAN OFFER YOU At Takeda, you may build your career, while contributing to better people’s lives. Expect trust driven culture built around Integrity, Fairness, Honesty, and Perseverance. Joining ICC will give you access to high end technology, training and colleagues who will support your growth. Salary: As a motivated employee, you should be compensated appropriately. The minimum salary for this position is € 3.083,33 per month (full time), but your final remuneration package may be higher depending on your qualifications and experience. Benefits: Here are a few benefits our employees are enjoying at Takeda. To get a full picture of what we are offering, follow this link. Cafeteria Medical - High standard medical care Bridge days Summer Hours Multisport Card Locations SVK - Bratislava – Svatoplukova Base Salary Range: €39,000.00 - €53,680.00 For information about our benefits, please click here. Worker Type Employee Worker Sub-Type Regular Time Type Full time