Data Scientist - Customer Segmentation

Harnham; Greater London; Hybrid; GBP 65,000 - 90,000; Full time

Job summary

Harnham is seeking a Data Scientist to support design and delivery of data-led products for major enterprise clients. The role blends consultancy delivery with proprietary products, focusing on customer intelligence and behavioural analytics.

You'll prototype, test, and shape analytical products, building models that influence customer engagement, collections, and commercial performance. Location is hybrid with at least 2 days in London.

Qualifications

• Experience building predictive models with business impact.
• Experience in customer analytics and performance metrics.
• Strong collaboration with Product Managers and Analysts.

Responsibilities

• Build and optimise predictive models including propensity and scoring models.
• Prototype new analytical products using Databricks notebooks.
• Define product-level features, scoring logic and model outputs.
• Conduct data discovery and exploratory analysis across large customer datasets.
• Work closely with Product Managers and Analysts to shape new product capability.
• Present insights and model outputs to internal and external stakeholders.
• Evaluate emerging AI and machine learning techniques for product innovation.
• Location: Hybrid (minimum 2 days in London)

Skills

Predictive modelling

AI/ML techniques awareness

Data analysis

Tools

Databricks notebooks

Job description

Do you want to build data products, not just models?

Have you worked on predictive analytics that directly shape customer strategy?

Are you ready to own product innovation from concept to launch?

A UK-based boutique consultancy is hiring a Data Scientist to support the design and delivery of data-led products used by major enterprise clients. The business combines consultancy delivery with proprietary data products, giving you exposure to both real-world commercial problems and scalable internal product builds.

Their focus sits heavily in customer intelligence, predictive modelling and behavioural analytics across sectors including utilities, telecoms, financial services and charities. This is a strong opportunity for someone who wants broader ownership than a typical delivery-focused DS role.

This role will sit at the intersection of product, analytics and machine learning. You'll help prototype, test and shape new analytical products, building models that directly influence how clients engage customers, optimise collections and improve commercial performance.

Key Responsibilities

• Build and optimise predictive models including propensity and scoring models
• Prototype new analytical products using Databricks notebooks
• Define product-level features, scoring logic and model outputs
• Conduct data discovery and exploratory analysis across large customer datasets
• Work closely with Product Managers and Analysts to shape new product capability
• Present insights and model outputs to internal and external stakeholders
• Evaluate emerging AI and machine learning techniques for product innovation
• Location: Hybrid (minimum 2 days in London)