Data Scientist: Translate Insights into Client Impact

Sagacity

Greater London

Sur place

GBP 70 000 - 90 000

Plein temps

Il y a 30 heures
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Résumé du poste

Sagacity is seeking a Data Scientist to join the Analytics Team. You will deliver data science projects, applying predictive modelling and ML techniques to optimise client operations while collaborating with stakeholders across data strategy, sales, and marketing.

The role combines hands-on modelling with translating insights into strategic, commercially relevant recommendations. Ideal candidates have 2+ years of data science experience and a degree in a quantitative field.

Qualifications

  • 2+ years' experience in data science, analytics or statistical modelling.
  • Degree in a quantitative field (postgraduate preferred).

Responsabilités

  • Deliver data science projects from problem definition to actionable insights.
  • Develop and apply predictive modelling to optimise client operations and outcomes.
  • Build and maintain data pipelines ensuring data quality across sources.
  • Translate analyses into clear, commercially relevant client recommendations.
  • Collaborate with client teams to identify analytical opportunities and quantify impact.
  • Support pre-sales and client engagement to demonstrate data value.
  • Follow best practices in data science and ethical AI.
  • Collaborate cross-functionally to enhance Sagacity's data solutions.

Connaissances

Python
R
SQL
ML techniques
NLP
Data viz
Communication
Travel UK

Formation

Degree in quantitative field
Postgraduate preferred

Outils

Databricks
Power BI
Tableau
Plotly
Sigma

Description du poste

Sagacity is seeking a Data Scientist to join the Analytics Team. You will deliver data science projects, applying predictive modelling and ML techniques to optimise client operations while collaborating with stakeholders across data strategy, sales, and marketing.

The role combines hands-on modelling with translating insights into strategic, commercially relevant recommendations. Ideal candidates have 2+ years of data science experience and a degree in a quantitative field.

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