3 дня назад
Associate Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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