Data Scientist: Predictive Modelling (Hybrid, London)

Harnham Ltd; Greater London; Hybrid; GBP 59,000 - 72,000; Full time

Job summary

Harnham in London is seeking a Data Scientist to develop predictive models and deliver insights across client projects. You will work on propensity modelling, customer segmentation and behavioural analytics, collaborating with analysts, managers and experts to capture business requirements and translate findings into actionable recommendations.

The role emphasizes hands-on model development, rigorous validation, and presenting results to clients within a hybrid London setting (2 days per week in

Qualifications

• Strong commercial experience in a Data Science or Predictive Analytics role.
• Excellent Python and SQL skills.
• Experience developing predictive models, particularly propensity or behavioural models.
• Ability to communicate technical findings to non-technical stakeholders.

Responsibilities

• Develop predictive models and statistical solutions to address client challenges.
• Build and refine propensity models, customer scorecards and segmentation models.
• Analyse complex datasets to identify trends, patterns and actionable insights.
• Translate analytical findings into clear recommendations and present them to clients.
• Collaborate with Data Analysts, Project Managers and subject matter experts.

Skills

Python

SQL

Predictive analytics

Stakeholder communication

Tools

Databricks

Azure

Job description

Harnham in London is seeking a Data Scientist to develop predictive models and deliver insights across client projects. You will work on propensity modelling, customer segmentation and behavioural analytics, collaborating with analysts, managers and experts to capture business requirements and translate findings into actionable recommendations.

The role emphasizes hands-on model development, rigorous validation, and presenting results to clients within a hybrid London setting (2 days per week in