Data Scientist

Gravitas Recruitment Group (Global) Ltd

Greater London

Vor Ort

GBP 55.000 - 75.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

Gravitas Recruitment Group (Global) Ltd in Greater London is seeking a Data Scientist to join a growing commercial strategy team. You will apply machine learning, predictive modelling and statistical techniques to influence commercial decisions and drive business performance.

Key responsibilities include developing predictive models for pricing and margin forecasting, building ML models to assess opportunities, and analysing large datasets to identify trends in pricing, sales, and customer

Qualifikationen

  • 2-4 years' experience in Data Science, Machine Learning or a similar analytical role.
  • Strong Python and SQL skills (R also considered).

Aufgaben

  • Developing predictive models to support pricing optimisation and margin forecasting.
  • Building machine learning models to assess and prioritise commercial opportunities.
  • Analysing large datasets to identify trends across pricing, sales performance and customer behaviour.
  • Applying techniques including regression, classification, clustering and time-series forecasting.
  • Translating complex data into actionable insights and tools that support business decisions.
  • Working closely with commercial, pricing and data teams to implement models and improve decision-making.

Kenntnisse

Python
SQL
R

Jobbeschreibung

I'm currently recruiting for a Data Scientist to join a growing commercial strategy team within an established global technology business.

This is an exciting opportunity for someone looking to apply their data science skills to real business challenges, using machine learning, predictive modelling and statistical techniques to influence commercial decisions and drive business performance.

The role will involve:
  • Developing predictive models to support pricing optimisation and margin forecasting.
  • Building machine learning models to assess and prioritise commercial opportunities.
  • Analysing large datasets to identify trends across pricing, sales performance and customer behaviour.
  • Applying techniques including regression, classification, clustering and time-series forecasting.
  • Translating complex data into actionable insights and tools that support business decisions.
  • Working closely with commercial, pricing and data teams to implement models and improve decision-making.
What we're looking for:
  • 2-4 years' experience in Data Science, Machine Learning or a similar analytical role.
  • Strong Python and SQL skills (R also considered).
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