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Job DescriptionThe 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
- 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.
- 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
Base Salary Range:
€47,400.00 - €65,120.00The 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 TypeEmployeeWorker Sub-TypeRegularTime TypeFull timeSkills Required
- 5+ years of professional experience in data science, machine learning, and artificial intelligence
- Hands-on experience developing and applying machine learning solutions to complex business challenges
- Expertise in AI and deep learning methodologies and their practical application
- Demonstrated ability to deliver data-driven solutions in a business environment
- Experience with MLOps practices and deploying machine learning models in production
- Hands-on experience with Apache Spark and large-scale data processing
- Experience working with Kubernetes
- Familiarity with Azure Machine Learning and/or AWS SageMaker
- Previous technical leadership, mentoring, or team management experience
- Experience in pharmaceutical manufacturing environments
- Experience in regulated and compliance-driven industries
- Strong stakeholder management and cross-functional collaboration skills
- Experience deploying AI/ML solutions across global manufacturing organizations
Takeda Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Takeda and has not been reviewed or approved by Takeda.
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Retirement Support — Employer-funded retirement is described as notably strong, combining a dollar-for-dollar 401(k) match with an additional company contribution that scales with age and service. Access to an employee stock purchase plan further supports long-term wealth building.
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Parental & Family Support — Paid bonding leave for all parents, substantial adoption/surrogacy reimbursement, and robust caregiver resources (backup care and Maven family-forming support) are emphasized as core strengths. These offerings create a comprehensive safety net for a range of family situations.
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Healthcare Strength — Multiple medical plan options (nationwide PPO/HSA and regional HMOs), employer HSA funding, and integrated mental-health and well-being programs signal depth in coverage. Preventive care is covered in-network, and plan choices by state expand access.
Takeda Insights
What We Do
For over 240 years, Takeda’s propensity to evolve has driven the next generation of innovation, and as a future-focused organization, we’re continuing to drive forward with endurance in our steadfast pursuit to achieve the best outcomes for our patients in a rapidly changing world. We have been preparing for this period of value creation by investing in data, digital and technology, and we’re proud of our employees and their commitment to turning groundbreaking ideas into life-changing impacts. Since our founding in Japan, integrity and putting patients first have been at the heart of our identity, and we will emerge ready for our future as one of the most trusted and science-driven digital biopharmaceutical companies. Join a team where your innovation impacts lives. Together, we’ll realize improved outcomes by improving data quality, enhancing launch execution and improving the patient journey. You’ll play a critical role in accelerating data collection and increasing accuracy across all parts of the business. Patients across the globe will benefit from access to treatments afforded by greater opportunities and efficiency in our research and development.
Why Work With Us
We connect to our history and Japanese heritage through everything we do to bring our purpose, values, vision, and imperatives to life. We are committed to bringing better health and a brighter future to patients. Being a part of Takeda means having the opportunity to be a part of something bigger than yourself.
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