Senior Manager (f/m/d) Data Science & Machine Learning

Cytivalifesciences; Cardiff; On-site; GBP 70,000 - 95,000; Full time

Job summary

Cytiva is seeking a Senior Manager for Data Science & Machine Learning responsible for leading AI/ML initiatives. The ideal candidate will drive innovation using AI technologies while coordinating across various business functions. Join a team dedicated to transforming human health through advanced data solutions.

Qualifications

• 5 years' hands-on experience in AI/ML technologies.
• Thorough understanding of AI/ML technologies.
• Good knowledge of privacy regulations like GDPR.

Responsibilities

• Lead a team of data scientists and ML engineers.
• Oversee planning and execution of AI/ML projects.
• Coordinate collaboration for effective stakeholder communication.

Skills

Python

R

AWS

Azure

MLOps

Project Management

AI/ML Technologies

Communication

Education

Bachelor’s or Master’s degree in Computer Science

Job description

Bring more to life.

Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?

At Cytiva, one of Danaher’s 15+ operating companies, our work saves lives—and we’re all united by a shared commitment to innovate for tangible impact.

You’ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher’s system of continuous improvement, you help turn ideas into impact – innovating at the speed of life.

Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies.

At Cytiva you will be able to continuously improve yourself and us – working on challenges that truly matter with people that care for each other, our customers, and their patients. Take your next step to an altogether life-changing career.

Learn about the Danaher Business System which makes everything possible.

The Senior Manager, Data Science & Machine Learningfor Cytiva is responsible for leading a team of AI/ML professionals, providing technical guidance and apply strategic vision to drive projects that enhance business outcomes.

This position is part of the Data and Analytics Team located in Poland and will be on-site in Krakow. At Cytiva, our vision is, to advance future therapeutics from discovery to delivery.

What you will do:

• Lead a team of data scientists, ML engineers and AI specialists, driving innovation by implementing new AI/ML technologies

• Oversees and coordinates the planning, execution, and completion of AI/ML projects

• Identifying new areas for applying AI technologies for multiple Business Functions

• Cooperate with multiple stakeholders for multiple Business Functions, explaining AI concepts to non-technical audience

• Coordinate collaboration with multiple technical teams ensuring effective cooperation

Who you are:

• Experienced Project Manager with thorough understanding and passion for AI/ML technology

• At least 5 years’ hands on experience in AI/ML technologies including but not limited to: Python, R, platforms (AWS, Azure), MLOps models deployments

• Good knowledge of privacy regulations e.g. GDPR, Artificial Intelligence Act

• Excellent written and verbal communication skills in English, complemented by a People Leader mindset

• Bachelor’s or Master’s degree in Computer Science, Data Science or related field is a plus

Travel, Motor Vehicle Record & Physical/Environment Requirements:

• Ability to travel – occasional travel in Europe and United States area.

#LI-Onsite

Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.

For more information, visit www.danaher.com.

At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.