Senior Data Scientist - Pricing

Harnham - Data and Analytics Recruitment; Greater London; On-site; GBP 60,000 - 75,000; Full time

Job summary

Harnham - Data and Analytics Recruitment seeks a Senior Data Scientist to join its pricing analytics function in London/Leicester. You will develop cutting-edge ML models to influence pricing strategy and deliver business impact.

The role focuses on end-to-end ML projects, model deployment, data sourcing, and collaboration with engineers, analysts and business stakeholders to drive commercial value. Strong Python/SQL skills and experience with Azure ML are essential to succeed in this

Qualifications

• Strong experience delivering end-to-end ML projects.
• Proficient Python and SQL for data science.
• Experience with Azure ML and cloud services.

Responsibilities

• Develop and deploy ML models for pricing and risk management.
• Build predictive models for claims outcomes, fraud detection, and business metrics.
• Create analytic tools to manage and optimise risk portfolios.
• Identify and utilise new data sources to improve models.
• Engineer new predictive features for pricing algorithms.
• Own projects across the ML lifecycle from exploration to deployment and monitoring.
• Collaborate with data scientists, engineers, analysts and stakeholders to deliver value.
• Explore emerging ML techniques and assess their business applicability.

Skills

Python

SQL

Azure Machine Learning

Azure Cloud Services

Model deployment

Feature engineering

Stakeholder collaboration

Tools

Git

Azure ML Studio

Job description

Senior Data Scientist - Pricing

London / Leicester | £60,000 - £75,000

This is an exciting opportunity for a Senior Data Scientist to join a highly advanced analytics function focused on pricing innovation. You'll work on developing cutting-edge machine learning models, leveraging new technologies and data sources to influence commercial strategy and deliver tangible business impact.

The Company

They are a data-driven organisation that has invested heavily in its analytics and pricing capabilities. Their Data Science team sits at the heart of strategic decision-making, helping to improve risk assessment, customer outcomes, and commercial performance. Working within a collaborative environment, you'll partner with experts across analytics, engineering, and business functions to drive innovation and challenge conventional approaches.

The Role

You will:

• Develop and deploy machine learning models that support pricing and risk management strategies.
• Build predictive models focused on claims outcomes, fraud detection, and key business performance metrics.
• Create and maintain analytical tools used to manage and optimise risk portfolios.
• Identify, assess, and utilise new data sources to improve model performance and business outcomes.
• Engineer new predictive features that can be incorporated into pricing algorithms.
• Take ownership of projects across the full machine learning lifecycle, from exploratory analysis through to deployment and monitoring.
• Collaborate with Data Scientists, Data Engineers, Analysts, and business stakeholders to deliver commercial value.
• Explore emerging machine learning techniques and assess their practical application within the business.

Your Skills & Experience

• Strong commercial experience delivering end-to-end machine learning projects.
• Excellent Python and SQL skills.
• Experience with Azure Machine Learning, Azure Cloud Services, and Git.
• Strong understanding of model deployment, monitoring, evaluation, and optimisation.
• Ability to translate complex business problems into scalable analytical solutions.
• Experience engaging with a range of stakeholders to define requirements and drive successful outcomes.
• Strong communication skills and a collaborative approach to problem-solving.
• Passion for applying advanced analytics and machine learning to real-world business challenges.