Product Data Scientist - Principal

Xpertise Recruitment; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Bonus

Excellent benefits

Hybrid work

Job summary

Major UK Organisation in West London is seeking a hands-on Product Data Scientist from Senior to Principal to own end-to-end ML and optimisation driven products that directly impact operations.

You will lead a cross-functional squad, design scalable models, and work with stakeholders to deliver production-grade data products with robust testing, monitoring and adoption strategies.

Qualifications

• Masters degree in data science, ML, or related field.
• Experience building or leading scalable ML products.
• Background in complex operational environments is a bonus.

Responsibilities

• Own end-to-end ML/optimisation products from discovery to deployment.
• Design scalable models and production architectures.
• Lead cross-functional squads of DS and engineering.
• Drive stakeholder alignment and product adoption.
• Ensure robust testing, monitoring and continuous improvement.

Skills

ML & optimisation

Python

Leadership

Stakeholder management

Education

Masters in Data Science

Tools

ML frameworks

Cloud platforms

Job description

West London | Hybrid | Excellent Base Salary + Bonus + Excellent benefits

Overview

A major UK organisation undergoing large scale data transformation are hiring multiple Product Data Scientists from Senior to Principal to build ML and optimisation driven decisioning products. This is a hands on leadership role owning delivery of production grade data products that directly impact real world operations.

Role

You will own the end to end product lifecycle from discovery through to deployment and adoption.

Working with stakeholders, you will identify decision points, design ML and optimisation solutions, and lead a cross functional squad to deliver scalable, production ready systems.

Key Responsibilities

• Own delivery of ML and optimisation products end to end
• Design scalable models and production architectures
• Lead squads across data science and engineering
• Drive stakeholder alignment and product adoption
• Ensure robust testing, monitoring, and continuous improvement

Requirements

• Strong hands on ML and optimisation experience
• Advanced Python and modern data tooling
• Proven delivery of production level data products
• Experience leading or mentoring teams
• Clear communicator with strong commercial focus

Experience

• Masters Degree or equivalent in Data Science, ML, or related field
• Experience building or leading scalable ML products
• Background in complex operational environments is a bonus