Senior Data Scientist

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

Senior Data Scientist

Job Reference Number: PG1

Our client, a leading global supplier for IT services, requires Senior Data Scientist to be based at their client’s office in Manchester, UK.

This is a hybrid role – you can work remotely in the UK and attend the Manchester office 3 days per week .

This is a 12 month temporary contract to start asap

Day rate: Competitive Market rate

Data Scientist with a proven track record of delivering measurable business value through analytics, data science, and data product development.

Key Responsibilities

• Combine strong technical expertise with excellent stakeholder engagement, communication, and data storytelling skills.
• Translate complex analytical concepts into clear, actionable insights for non-technical audiences and senior stakeholders.
• Progressed through a Data Analytics and Visualisation background before moving into Data Science.
• Understand how to present insights, influence decision-making, and build compelling user experiences.
• Focus beyond being a purely technical modelling specialist.
• Comfortable operating across both analytics and data science disciplines.
• Build intuitive Power BI dashboards that act as the first stage of model productionisation before solutions are integrated into broader business workflows and operational processes.

Key Requirements

Essential Skills

• Data Science & Data Analytics
• Data Visualisation & Power BI, including AI-enabled Conversational Insights
• Data Product Development
• Exploratory Data Analysis (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

Desirable Skills

• Financial Services experience, particularly within Wealth Management, Asset Management, Banking, or FinTech, is highly desirable.
• Strong interest in investor behavior, client journeys, and how clients make investment decisions is beneficial.
• Exposure to AI-enabled solutions, Generative AI, or AI Engineering concepts is an advantage but not a core requirement.

Due to the volume of applications received, unfortunately we cannot respond to everyone.

If you do not hear back from us within 7 days of sending your application, please assume that you have not been successful on this occasion.