- Salary
- €3+
- Location
- SVK - Bratislava – Svatoplukova, Slovakia
- Workplace
- Remote
- Type
- Full-time
- Department
- IT
- Seniority
- Lead
- Education
- PhD
- Source
- Workday
Description
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 are seeking a Principal Data Science Analyst to design and implement the AI/ML strategy across Manufacturing Sciences, working in close partnership with Manufacturing Sciences domain leaders to translate strategic priorities into scalable and compliant solutions. You will design AI/ML roadmaps, drive adoption of advanced analytics, and mentor data scientists, and influence analytics direction across Manufacturing Sciences to deliver measurable operational impact. You will also shape manufacturing AI/ML strategy, lead cutting-edge projects, and directly impact global manufacturing operations in a collaborative, innovative environment.
RESPONSIBILITIES:
- Lead global AI/ML initiatives across 20+ manufacturing facilities in alignment with Manufacturing Sciences strategic priorities
- Architect AI platforms integrating real-time manufacturing data with cloud MLOps environments.
- Drive innovation in AI/ML manufacturing optimization and autonomous process control.
- Establish standards for model governance, bias mitigation, and regulatory compliance.
- Mentor data scientists and collaborate with Manufacturing Sciences SMEs, IT, engineering and quality business functions.
- Translate emerging AI/ML trends into practical applications that support Manufacturing Sciences decision-making and operational goals.
SKILLS AND QUALIFICATIONS
Education Requirements
- Master’s or Ph.D. in Data Science, CS, Engineering, or related STEM.
- 10+ years in AI/data science roles, including demonstrated technical and people leadership.
- Advanced ML/AI expertise experience (Classical ML: KNN, SVM, Random Forest/GBMs etc.). Deep learning: CNNs/RNNs/GRU, autoencoders, Backprop/Autodiff and experience with MLOps at scale.
- Strong programming skills (Python, SQL) and familiarity with distributed computing (Spark, Kubernetes).
- Experience in regulated environments, specifically: pharma preferred.
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 € € 3.850 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