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Senior Data Scientist

Skills
AlgorithmsArtificial IntelligenceBusinessCore DataData ScienceLeadershipMathematics
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Senior experience in a professional data science role or quantitative academic field
  • Strong Python programming skills with NumPy Pandas and PyTorch
  • Deep expertise in supervised and unsupervised learning NLP and validation
  • Ability to develop innovative algorithms
  • Leadership mindset with a focus on growing technical capabilities
  • Commercial awareness and client-facing experience
  • Ability to translate business problems into mathematical frameworks
  • Project planning skills with technical feasibility assessment and timeline estimation
  • Ability to lead a team to deliver high-quality work on schedule

Nice to have

  • Intellectual curiosity
  • Collaborative culture
  • Thought leadership
  • Client focus
  • Positive impact

Day to day

  • Lead high-impact AI projects and shape the technical direction of bespoke solutions.
  • Define data science approaches and design robust software architectures for new engagements.
  • Mentor junior data scientists support team growth and ensure rigorous delivery across projects.

Hiring process

  • Talent Team Screen (30 minutes)
  • Take Home Technical Test
  • Technical Interview (90 minutes)
  • Commercial Interview (60 minutes)