Associate Data Scientist

Overview

In this role you will join an established data science team to support government and client projects by preparing data, testing analytical approaches, and building practical models and prototypes. You’ll collaborate with subject matter experts to translate complex questions into actionable analyses and communicate findings to colleagues and clients. The work blends data cleaning, modeling, and data-driven storytelling within a consulting context, offering exposure to policy-relevant problems and cross-functional collaboration. This is a hands-on, learning-focused position with opportunities to grow technical and consulting skills.

Pay / Benefits

• Hybrid working policy
• Private medical insurance
• Dental insurance
• 25 days annual leave
• Pension scheme with employer contribution
• Life assurance and income protection

Responsibilities

• Understand project questions, data availability and expected outputs with data scientists and SMEs
• Clean, combine and explore datasets; document assumptions and checks
• Build and compare statistical or machine learning models; evaluate baselines, accuracy, bias
• Contribute to prototypes, including language models, and test outputs carefully
• Prepare charts and concise findings; present to colleagues and, with support, to clients and SMEs
• Incorporate feedback and code reviews; contribute to reproducible project files and team knowledge sharing

Key requirements

• Hands-on data science experience from projects, internships, or commercial work
• Python experience from employment, internships, research or substantial projects
• Foundations in statistics and common ML methods (e.g., regression, classification); experience with training, testing and evaluation
• Attention to data quality, documentation and reproducible code; willingness to learn version control and collaborative development
• Curiosity about client problems; ability to explain thinking in clear written and spoken English
• Relevant degree or equivalent practical experience in quantitative or social science field

• Curiosity
• Clear communication
• Questioning mindset
• Python
• Statistics
• Machine learning methods (regression, classification)

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