Haystack

Data Scientist

Haystack

Greater London, England, United Kingdom · Full Time

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Experience
5+ yrs
Salary
—
Openings
1
Posted
1 week ago
Work mode
In office
Education
MSc or PhD in quantitative field
Resume
Required to apply

Where you'll work

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Job description

Role Overview

Haystack, represented by a partner company, is seeking an experienced Data Scientist to join their team in Greater London. This role involves collaborating within a multidisciplinary team that includes data scientists, engineers, managers, and business partners to develop sophisticated data science solutions.

Key Responsibilities

  • Work closely with cross-functional teams including data scientists, engineers, and business stakeholders to create scalable and reusable data science products.
  • Implement forecasting and optimization algorithms such as Linear, Logistic, Lasso, Ridge, and Generalized Additive Models (GAM), along with other machine learning techniques.
  • Leverage expertise in Generative AI and Large Language Models (LLMs) for data analysis and AI product development.
  • Perform detailed data analyses to generate actionable insights and communicate outcomes to colleagues and senior leadership.
  • Uphold best practices for data science projects, including technical design review, code quality checks, documentation, and ongoing monitoring.

Qualifications and Skills

  • Possess a Master's or PhD in a quantitative discipline.
  • At least five years of applied experience in designing, prototyping, deploying, and maintaining scalable data science solutions in complex environments.
  • Strong theoretical understanding of statistics and machine learning mathematics.
  • Proficiency in object-oriented programming languages, particularly Python.
  • Advanced abilities in SQL and expertise in experimental design and analysis.
  • Customer-focused mindset emphasizing value delivery and efficient execution.

Benefits

  • Competitive remuneration package.
  • Opportunity to contribute to impactful data science projects on a global scale.
  • A dynamic, diverse environment encouraging professional development.
  • Flexible work arrangements to facilitate work-life balance.

Minimum education

Master's Degree

How they work

Communication Teamwork & Collaboration Customer Focus

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