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1 день назад

Graduate Data Scientist (AI)

Формат работы
hybrid
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

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TL;DR

Graduate Data Scientist (AI/ML): Building and enhancing internal data science tools, pipelines, and AI-powered applications with an accent on quantitative analysis and business automation. Focus on developing scalable data solutions, implementing AI strategy, and enhancing AI literacy across the organization.

Location: Hybrid (3 days in the office), London, United Kingdom

Company

A global team operating at the intersection of data science, healthcare insights, technology, and innovation to drive meaningful business change.

What you will do

  • Build, maintain, and enhance internal data science tools, pipelines, and AI-powered applications.
  • Perform quantitative data analysis to support client projects and business outcomes.
  • Identify and implement automation opportunities to increase overall business efficiency.
  • Support the rollout and adoption of new data and AI tools across various teams.
  • Contribute to thought leadership through LinkedIn content and conference presentations.
  • Provide regular updates and reporting to senior team members.

Requirements

  • Bachelor's, Master's, or PhD in Mathematics, Statistics, Data Science, or another numerate discipline.
  • Proficiency in Python or R for data analysis, modelling, or visualisation.
  • Strong understanding of statistical concepts, including hypothesis testing, regression, and p-values.
  • Experience contributing to analytical or machine learning projects (academic, internship, or personal).
  • Must be based in or able to work from the London office 3 days a week.
  • Excellent communication skills to explain technical concepts to non-technical audiences.

Nice to have

  • Exposure to AI or LLM applications, such as OpenAI or Anthropic APIs.
  • Experience using Git or other version control systems.
  • Knowledge of data pipelines, APIs, and SQL databases.
  • Experience deploying internal or web-based data tools.

Culture & Benefits

  • Collaborative, forward-thinking environment with a supportive global team.
  • Opportunity to work on meaningful projects in the healthcare and AI domains.
  • Professional growth and development of in-demand technical skills.
  • Hybrid work model balancing office presence and flexibility.

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