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Design and implement AI/ML strategy across 20+ manufacturing facilities, translating strategic priorities into scalable, compliant solutions. Lead global initiatives, architect platforms integrating real-time data with cloud MLOps, and mentor data scientists. Requires 5+ years in data science, machine learning, and artificial intelligence, with hands-on expertise in developing ML solutions for complex business challenges. Experience with MLOps, Spark, cloud platforms like Azure Machine Learning, and regulated manufacturing environments preferred. Based in Bratislava, Slovakia. Salary €47,400–€65,120 annually.

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Job 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 Senior Data Scientist 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

Core Experience & Expertise

  • 5+ years of professional experience in Data Science, Machine Learning, and Artificial Intelligence.
  • Hands-on experience in developing and applying Machine Learning solutions to solve complex business challenges.
  • Proven expertise in AI and Deep Learning methodologies and their practical application.
  • Demonstrated ability to deliver data-driven solutions in a business environment.

Additional Experience That Will Help You Succeed

  • Experience with MLOps practices and deploying machine learning models in production environments.
  • Hands-on experience with Spark and large-scale data processing.
  • Experience working with Kubernetes.
  • Familiarity with cloud-based machine learning platforms, including Azure Machine Learning and/or AWS SageMaker.
  • Previous leadership experience, including technical leadership, mentoring, or team management.
  • Experience within pharmaceutical manufacturing environments.
  • Experience working in regulated industries and compliance-driven environments.
  • Strong stakeholder management and cross-functional collaboration skills.
  • Experience deploying AI/ML solutions across global manufacturing organizations.

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

Locations

SVK - Bratislava – Svatoplukova

Base Salary Range:

€47,400.00 - €65,120.00


The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.


For information about our benefits, please click here.

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time
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  • Role Senior Data Scientist
  • Experience 5-7 years
  • Education Any
  • Work type On-site
  • Location Slovakia
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Takeda
Healthcare & Life Sciences · 500+ Members · Japan

Takeda is a global, research-driven biopharmaceutical company.

All jobs at Takeda
Job Overview
Eligibility
Slovakia Right to work in Slovakia required.
Workplace
On-site
Job Posted:
23 hours ago
Job Type
Full Time
Education
Any
Experience
5-7 years

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