Data Scientist, Advanced Analytics: Propensity Modelling

Harnham - Data & Analytics Recruitment; City Of London; Hybrid; GBP 39,000 - 65,000; Full time

Job summary

Harnham - Data & Analytics Recruitment partners with a leading UK data and analytics organisation to recruit a Data Scientist into its growing team in London. You will develop predictive models with a focus on propensity modelling, customer segmentation and behavioural analytics, working with analysts, project managers and stakeholders throughout the project lifecycle.

The role is hybrid (London office, two days per week) with a salary up to £65,000 and a pathway to advance your modelling

Qualifications

• Commercial experience in a Data Science or Predictive Analytics role.
• Experience building predictive models, particularly propensity or behavioural models.
• Strong Python and SQL with ability to translate findings to clients.

Responsibilities

• Develop predictive models to solve client challenges.
• Build propensity models and customer scorecards.
• Analyse large datasets to identify trends and insights.
• Collaborate with stakeholders to understand business requirements.
• Train, test and optimise models for performance.
• Present analytical findings to clients clearly.

Skills

Python

SQL

Propensity modelling

Customer segmentation

Behavioural analytics

Stakeholder communication

Model evaluation

Tools

Databricks

Azure Cloud

Job description

Harnham - Data & Analytics Recruitment partners with a leading UK data and analytics organisation to recruit a Data Scientist into its growing team in London. You will develop predictive models with a focus on propensity modelling, customer segmentation and behavioural analytics, working with analysts, project managers and stakeholders throughout the project lifecycle.

The role is hybrid (London office, two days per week) with a salary up to £65,000 and a pathway to advance your modelling