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# Senior Data Scientist

- **Company:** Project Recruit
- **Location:** Manchester, United Kingdom (Remote available)
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Data Analysis, Data Presentation, Data Visualization, Power BI, Feature Engineering, Model Validation, Generative AI, Data Analytics, Machine Learning Operations
- **Published:** November 11, 2026
- **Apply:** https://www.careerboard.com/gb/en/find-jobs-in-United-Kingdom/-78AAD06A570AF93DCC/

## About the Role

* 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.

## Description

* 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.