Senior Data Scientist

• 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.

• 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.

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

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