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3 дня назад

Associate Data Scientist (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Associate Data Scientist (AI): Developing and delivering data-driven solutions for scientific, digital, commercial, and operational functions with an accent on Python, statistical analysis, and machine learning. Focus on cleaning complex datasets, translating stakeholder needs into well-defined problems, and deploying and monitoring solutions in collaboration with data engineers and life scientists.

Location: On-site in Cambridge, United Kingdom

Company

hirify.global operates through companies such as Abcam to develop life-science, diagnostic, and biotechnology solutions that support scientific discovery and healthcare.

What you will do

  • Explore, clean, and transform complex datasets from multiple sources.
  • Apply statistical and machine learning techniques to business and operational problems.
  • Work with data engineers, life scientists, and stakeholders to define analytical problems and requirements.
  • Communicate findings through visualisations, presentations, and written recommendations.
  • Support the deployment, monitoring, and continuous improvement of data science solutions.
  • Progress from supporting existing projects to taking responsibility for an individual project after six months.

Requirements

  • Bachelor’s or master’s degree in a quantitative subject.
  • Proficiency in Python.
  • Familiarity with supervised and unsupervised machine learning.
  • Very strong analytical, problem-solving, and critical-thinking skills.
  • Excellent communication skills, including the ability to explain technical concepts to non-technical audiences.
  • Ability to work on-site in Cambridge, United Kingdom.

Nice to have

  • Experience with cloud-based computing environments, especially AWS.
  • Software development experience using CI/CD principles and containerisation.
  • Understanding of causal inference methods such as DAGs.

Culture & Benefits

  • Work within the Data & AI Team and collaborate with scientific and business stakeholders.
  • Access to healthcare programs and paid time off.
  • Professional development opportunities.
  • Continuous improvement culture focused on scientific and operational impact.

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