Data Scientist

Harnham
Leeds, UK
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Business Analytics Applications Statistical Hypothesis Testing Python (Programming Language) Programming Languages

Job description

We are seeking a curious and analytically driven Data Scientist to join our team and help tackle real-world challenges in areas such as demand forecasting, pricing strategy, and promotional optimisation. This role is ideal for someone with a strong background in research methods and statistics, and a passion for applying data science to complex, practical problems.

Responsibilities

  • Conduct exploratory analyses to uncover trends and patterns in data
  • Design and run experiments to test hypotheses related to pricing, customer demand, and promotional effectiveness
  • Evaluate and implement emerging data science techniques to improve existing approaches
  • Collaborate with cross-functional teams to define research questions and align on business goals
  • Develop predictive models and analytical tools
  • Communicate insights through clear, reproducible research and translate technical findings for diverse audiences

What We're Looking For

  • Solid foundation in statistics, experimental design, and research methodology
  • Experience working with real-world datasets to drive actionable insights
  • Proficiency in at least one analytical programming language (e.g., Python, R, or Julia)
  • Ability to communicate complex ideas clearly to both technical and non-technical stakeholders
  • A self-starter mindset with a collaborative and inquisitive approach
  • MSc or PhD in a relevant field

Location: Leeds

Additional context: This role is part of Harnham's Data Science / R&D recruitment. Referrals increase your chances of interviewing at Harnham.

Requirements

  • Solid foundation in statistics, experimental design, and research methodology
  • Experience working with real-world datasets to drive actionable insights
  • Proficiency in at least one analytical programming language (e.g., Python, R, or Julia)
  • Ability to communicate complex ideas clearly to both technical and non-technical stakeholders
  • A self-starter mindset with a collaborative and inquisitive approach
  • MSc or PhD in a relevant field

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