Graduate Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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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