Lead Data Scientist

WeSkilled

Greater London

Hybride

GBP 70 000 - 90 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Highly competitive salary
Stock options
Relocation assistance
State-of-the-art workstation
Tech budget
Regular team offsites
Hackathons

Résumé du poste

Weskilled in Greater London is looking for an experienced Data Scientist to build predictive models for workforce analytics and talent acquisition. The role involves leading a team of data scientists to extract actionable insights from complex HR datasets. A Ph.D. or Master's degree in Computer Science or Statistics with 7+ years of experience is required. The position offers a highly competitive salary, equity options, relocation assistance, and a modern work environment with a tech budget and team-building activities.

Qualifications

  • 7+ years of experience in data science and predictive modeling.
  • Expertise in SQL, R, or Python for data analysis.
  • Ability to translate complex data into business strategy.

Responsabilités

  • Build predictive models for workforce analytics and talent acquisition.
  • Lead a team of data scientists to uncover actionable insights from complex HR datasets.

Connaissances

SQL
R
Python
Data analysis
Predictive modeling

Formation

Ph.D. or Master's in Computer Science, Statistics, or related field

Outils

Hadoop
Spark

Description du poste

Build predictive models for workforce analytics and talent acquisition. You will lead a team of data scientists to uncover actionable insights from complex HR datasets.

Requirements
  • Ph.D. or Master's in Computer Science, Statistics, or related field.
  • 7+ years of experience in data science and predictive modeling.
  • Expertise in SQL, R, or Python for data analysis.
  • Experience with big data technologies (Hadoop, Spark).
  • Ability to translate complex data into business strategy.
  • Highly competitive salary and stock options.
  • Relocation assistance if required.
  • State-of-the-art workstation and tech budget.
  • Regular team offsites and hackathons.
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