Senior Data Scientist - Defence Training Analytics

Capita; Warminster; Hybrid; GBP 36,000 - 60,000; Full time

Benefits offered by this job

Flexible benefits

Onsite parking

Job summary

Capita is seeking a Senior Data Scientist to work hybrid in Warminster, UK. The role involves solving real-world problems with stakeholders, applying analytics and ML to drive decisions, and delivering actionable insights beyond building models in isolation.

Ideal candidates will have practical data science experience in mission-critical contexts, strong communication skills, and the ability to work across multidisciplinary teams while navigating ambiguity.

Qualifications

• Strong practical experience in data science, statistics or advanced analytics.
• Experience using Python, R, SQL and relevant analytical or machine learning techniques.
• A track record of translating analytical findings into actionable recommendations and decisions.

Responsibilities

• Work directly with stakeholders to understand problems, challenge assumptions and identify opportunities.
• Turn complex operational questions into practical data science solutions.
• Apply analytics, statistics and machine learning to generate meaningful insights and recommendations.
• Build models, analytical products and visualisations that support decision-making.
• Communicate findings clearly to both technical and non-technical audiences.
• Collaborate across multidisciplinary teams while retaining the freedom to explore problems in depth.
• Operate confidently in environments where the answer is not always obvious.
• Champion evidence-based decision-making and help grow a culture of curiosity, learning and continuous improvement.

Skills

Data science

Python

R

SQL

Job description

Capita is seeking a Senior Data Scientist to work hybrid in Warminster, UK. The role involves solving real-world problems with stakeholders, applying analytics and ML to drive decisions, and delivering actionable insights beyond building models in isolation.

Ideal candidates will have practical data science experience in mission-critical contexts, strong communication skills, and the ability to work across multidisciplinary teams while navigating ambiguity.