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Danaher Corporation Senior Data Scientist (12 months Fixed Term Contract) in Cambridge, United Kingdom

For over 25 years, Abcam has been providing tools the scientific community needs to enable faster breakthroughs in critical areas like cancer, neurological disorders, infectious diseases, and metabolic disorders.

We believe that to continue making progress, we need to work together, each bringing our own unique perspectives to make an impact on the world. This community needs people like you: dedicated, agile and above all audacious so we can truly drive science forward.

The Senior Data Scientist is responsible for spearheading innovation, develop ment and appl ication of AI solutions that generate market insights and high-quality sales leads , enhancing customer engagement and directly driving sales .

This position reports to the AI Sales Integration Manager and is part of the Data Science and AI Team located in Cambridge, UK, and will be on-site . At Abcam, our vision is to be the most influential life sciences company for researchers worldwide.

This role will initially be a 12-month fixed-term contract with the possibility of extension.

In this role, you will have the opportunity to:

  • Apply AI to solve real-world challenges, generate insights, sales leads and optimize sales strategy and actions .

  • Innovate, develop, test, and embed scalable AI models, rapidly apply existing AI methodologies, validate performance, and utilize statistical techniques for result interpretation and validation.

  • Analyze data from various sources using best-practice coding standards and a state-of-the-art AI Technology Stack.

  • Produce actionable insights and compelling visualizations, define data requirements, while identifying and mitigating risks and governing AI applications.

  • Collaborate across teams to drive AI innovation, while expanding your expertise within an experienced, inclusive, and international team.

    The essential requirements of the job include:

  • BSc or MSc in Data Science or a related field.

  • Multiple years of industry experience in data science .

  • Proficiency in Python and related ML libraries.

  • Understanding of LLMs and experience in how to reali z e their full potential in frameworks such as OpenAI.

  • Proven experience in developing, deploying and applying AI models as part of a CI/CD pipeline, and deploying applications using cloud technologies.

    It would be a plus if you also possess previous experience in:

  • Commercial awareness and understanding of Sales and Marketing strategies.

  • Excellent communication and collaboration abilities, strong analytical and problem-solving skills.

    If you would like to be a part of a collaborative, international team and a fast-paced, growing business with a focus on AI, please do apply!

    At Danaher we bring together science, technology and operational capabilities to 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. Our global teams are pioneering what’s next across Life Sciences, Diagnostics, Biotechnology and beyond. 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.

At Danaher we bring together science, technology and operational capabilities to 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. Our global teams are pioneering what’s next across Life Sciences, Diagnostics, Biotechnology and beyond. 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.

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