Senior Data Scientist: Data Products & Insights (UK Remote)

Project Global Limited; Manchester; Hybrid; GBP 83,000 - 138,000; Full time

Job summary

Project Global Limited in Manchester, UK, seeks a Senior Data Scientist for a 12-month hybrid contract. Remote work within the UK is allowed, with Manchester office attendance three days per week.

You will combine data science expertise with data storytelling, building Power BI dashboards and driving analytics across business workflows. The role requires data science, analytics, Power BI, EDA, feature engineering, and end-to-end lifecycle management.

Qualifications

• Data Science & Data Analytics.
• Data Visualisation & Power BI, including AI-enabled Conversational Insights.
• Data Product Development.
• EDA & Feature Engineering.
• Model Development & Selection.
• Model Validation & Governance.
• Model Productionisation & Monitoring.
• End-to-End Data Science Model Lifecycle Management.
• Analytics Integration into Business Workflows & Operational Processes.

Responsibilities

• Combine strong technical expertise with stakeholder engagement and data storytelling.
• Translate complex analytical concepts into clear, actionable insights for non-technical audiences and senior stakeholders.
• Progress from Data Analytics and Visualisation to Data Science.
• Present insights to influence decisions and build compelling user experiences.
• Operate across analytics and data science disciplines.
• Build intuitive Power BI dashboards that precede model productionisation.

Skills

Data Science

Power BI

Data Analytics

Feature Engineering

Model Development

Model Validation

Governance

Data Visualization

Analytics Lifecycle

Job description

Project Global Limited in Manchester, UK, seeks a Senior Data Scientist for a 12-month hybrid contract. Remote work within the UK is allowed, with Manchester office attendance three days per week.

You will combine data science expertise with data storytelling, building Power BI dashboards and driving analytics across business workflows. The role requires data science, analytics, Power BI, EDA, feature engineering, and end-to-end lifecycle management.