Junior Data Scientist - Hybrid London, Mentored Growth

Intellect Group

England

Híbrido

GBP 32.000 - 42.000

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

Competitive salary
Hybrid working
Continuous learning and mentoring
Access to cutting-edge data tools

Descripción de la vacante

A growing technology firm in London is seeking a Junior Data Scientist to join their team. This role offers the opportunity to work on data wrangling, model development, and delivering business insights. Ideal candidates are recent Master's graduates from top UK universities, proficient in Python and SQL, with strong analytical and communication skills. The position supports hybrid working, providing a mix of office and remote work, along with a clear progression path.

Formación

  • Master’s degree (or higher) in a relevant field.
  • Strong academic background from a reputable university.
  • Proficient in Python and SQL.
  • Solid understanding of machine learning and statistical analysis.
  • Strong problem-solving and critical thinking skills.

Responsabilidades

  • Collect, clean, and analyze large datasets.
  • Build and deploy statistical and ML models.
  • Collaborate with data engineers and stakeholders.
  • Develop data visualizations and dashboards.
  • Contribute to automation and optimization of workflows.

Conocimientos

Python
SQL
Statistical analysis
Machine learning concepts
Problem-solving
Communication

Educación

Master’s degree in Data Science, Computer Science, Mathematics, Statistics, Physics, or Economics

Descripción del empleo

A growing technology firm in London is seeking a Junior Data Scientist to join their team. This role offers the opportunity to work on data wrangling, model development, and delivering business insights. Ideal candidates are recent Master's graduates from top UK universities, proficient in Python and SQL, with strong analytical and communication skills. The position supports hybrid working, providing a mix of office and remote work, along with a clear progression path.
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