Data Scientist

Overview

In this hands-on data science and consulting role, you will deliver data science and AI solutions for government and client projects, collaborating with subject matter experts to frame problems and prove value. You’ll work across diverse, technically varied projects and communicate findings to both technical and non-technical audiences. You will contribute to proposals and help translate evidence into operational solutions. This role offers a meaningful opportunity to shape data-driven decisions at scale within a mission-driven team.

Pay / Benefits

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

Responsibilities

• Define problems with subject matter experts and clients, set success measures, identify data needs and analytical approach
• Prepare and analyze data; build and evaluate models or prototypes using statistics, forecasting, ML or language models
• Present findings and limitations to diverse audiences, incorporating feedback and challenging premises
• Collaborate across technical disciplines to document work, ensure reproducibility, and develop prototypes into reliable solutions
• Contribute technical ideas, estimates and evidence to proposals; manage work across multiple concurrent projects
• Share reusable methods with colleagues to improve team capabilities

Key requirements

• Hands-on Python for analysis and modelling; familiarity with data/machine learning libraries
• SQL for data extraction and validation
• Strong grounding in statistics and machine learning (regression/classification, forecasting, validation, performance measures)
• Experience with large language models in analysis or prototyping; awareness of privacy and reliability risks
• Experience preparing imperfect data, reproducible analyses, and maintainable code with version control and testing
• Ability to translate ambiguous questions into working demos and assess deployment value
• Independent working style with stakeholder engagement across teams; clear written and spoken English
• A relevant degree or equivalent practical experience in a quantitative field

• Stakeholder engagement
• Clear communication
• Collaborative mindset
• Python for analysis and modelling
• SQL
• Statistical methods and machine learning

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