Propensity Analytics Scientist - Hybrid London

Harnham - Data and Analytics Recruitment; City Of London; Hybrid; GBP 59,000 - 72,000; Full time

Job summary

Harnham is seeking a Data Scientist for an advanced analytics role in London. The role combines predictive modelling, propensity analysis and customer segmentation to solve client challenges, with a hybrid work pattern (2 days per week in the office).

You will develop models, train and present findings to stakeholders, collaborate with data analysts and project teams, and translate insights into actionable recommendations for clients.

Qualifications

• We are looking for a commercially minded Data Scientist with strong analytical capabilities and an interest in applying data science to real-world business problems.
• Excellent Python and SQL skills.
• Experience developing predictive models, particularly propensity or behavioural models.
• A good understanding of statistical modelling, machine learning and data analysis techniques.
• Experience working with large and complex datasets.
• The ability to communicate technical findings to non-technical stakeholders.
• Confidence presenting insights and engaging directly with clients.

Responsibilities

• Developing predictive models and statistical solutions to address client challenges.
• Building and refining propensity models, customer scorecards and segmentation models.
• Analysing complex datasets to identify trends, patterns and actionable insights.
• Working with stakeholders to understand business requirements and participate in data discovery sessions.
• Training, testing and optimising models to improve performance and accuracy.
• Translating analytical findings into clear recommendations and presenting these to clients.
• Working collaboratively with Data Analysts, Project Managers and subject matter experts.

Skills

Python

SQL

Predictive modelling

Propensity modelling

Customer segmentation

Statistical techniques

Data analysis

Databricks

Azure

Tools

Databricks

Azure

Job description

Harnham is seeking a Data Scientist for an advanced analytics role in London. The role combines predictive modelling, propensity analysis and customer segmentation to solve client challenges, with a hybrid work pattern (2 days per week in the office).

You will develop models, train and present findings to stakeholders, collaborate with data analysts and project teams, and translate insights into actionable recommendations for clients.