Associate Data Scientist — Life Sciences & ML (Python)

Radiometer

Cambridge

On-site

GBP 42,000 - 62,000

Full time

6 days ago
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Job summary

Abcam, a Danaher operating company, invites applications for an Associate Data Scientist to develop data-driven solutions across scientific, digital, commercial, and operational functions. You will work closely with data engineers and scientists in Cambridge, applying machine learning to real-world challenges on-site.

The role requires a Bachelor's or Master's in a quantitative field and strong Python skills, with a commitment to clear communication and continuous improvement of data science

Qualifications

  • Bachelor's or Master's degree in a quantitative subject.
  • Proficiency in Python.
  • Familiarity with machine learning concepts, including supervised and unsupervised learning techniques.
  • Very strong analytical, problem-solving, and critical-thinking skills.
  • Excellent communication skills with the ability to explain technical concepts to non-technical audiences.

Responsibilities

  • Explore, clean, and transform complex datasets from multiple sources.
  • Apply statistical and machine learning techniques to solve business problems and improve operational performance.
  • Collaborate with stakeholders to understand business requirements and translate them into well-defined problems.
  • Communicate findings through clear visualisations, presentations, and written recommendations.
  • Support the deployment, monitoring, and continuous improvement of data science solutions.

Skills

Python
Machine Learning
Data Analysis

Education

Bachelor's or Master's in a quantitative subject

Tools

AWS
CI/CD
Containerisation

Job description

Abcam, a Danaher operating company, invites applications for an Associate Data Scientist to develop data-driven solutions across scientific, digital, commercial, and operational functions. You will work closely with data engineers and scientists in Cambridge, applying machine learning to real-world challenges on-site.

The role requires a Bachelor's or Master's in a quantitative field and strong Python skills, with a commitment to clear communication and continuous improvement of data science

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