Senior Data Scientist

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Overview

Our client is expanding their technology team and leveraging data-driven solutions to accelerate innovation. They are seeking a talented Senior Data Scientist to extract actionable insights, build predictive models, and drive strategic decision-making. Join a company that values creativity, collaboration, and cutting-edge technology.

Responsibilities

  • Collect, clean, and analyze structured and unstructured data
  • Develop and evaluate machine learning models for anomaly detection, classification, regression, and clustering tasks
  • Collaborate with data engineers to add new functionality and analytical capabilities to our graph analytics platform

Qualifications

  • Proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, numpy, matplotlib)
  • Understanding of key machine learning concepts and workflows
  • Strong problem-solving and analytical thinking skills
  • Excellent communication and teamwork abilities
  • (Optional) Experience with Golang for backend or high-performance data processing
  • (Optional) Familiarity with network science tools (e.g., NetworkX, graph databases)

For more information – please apply for this job or send your CV directly and I will call you back to provide you with more details.

Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for employment regardless of gender, race, age, sexual orientation, religion, or belief.

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Company: Cavendish Professionals
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Job Description:

Overview

Our client is expanding their technology team and leveraging data-driven solutions to accelerate innovation. They are seeking a talented Senior Data Scientist to extract actionable insights, build predictive models, and drive strategic decision-making. Join a company that values creativity, collaboration, and cutting-edge technology.

Responsibilities

  • Collect, clean, and analyze structured and unstructured data
  • Develop and evaluate machine learning models for anomaly detection, classification, regression, and clustering tasks
  • Collaborate with data engineers to add new functionality and analytical capabilities to our graph analytics platform

Qualifications

  • Proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, numpy, matplotlib)
  • Understanding of key machine learning concepts and workflows
  • Strong problem-solving and analytical thinking skills
  • Excellent communication and teamwork abilities
  • (Optional) Experience with Golang for backend or high-performance data processing
  • (Optional) Familiarity with network science tools (e.g., NetworkX, graph databases)

For more information – please apply for this job or send your CV directly and I will call you back to provide you with more details.

Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for employment regardless of gender, race, age, sexual orientation, religion, or belief.

#J-18808-Ljbffr…

Posted: May 7th, 2026