- 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
Skills
How they work
Communication
Teamwork & Collaboration
Customer Focus