Senior Data Scientist — Customer Modelling & Marketing

Datatech Analytics; Greater London; Hybrid; GBP 68,000 - 83,000; Full time

Job summary

Datatech Analytics is seeking a hands-on Senior Data Scientist to turn first-party customer data into practical tools for acquisition, retention and growth. You will build customer segments, develop propensity and churn models, and push models into production, collaborating with marketing, CRM, and engineering teams across multiple brands.

You'll work with Python and SQL on large, multi-year datasets, validating models and presenting actionable insights to senior stakeholders.

Qualifications

• Experience building models in Python and SQL.
• First-party customer data modelling experience.
• Segmentation design and validation experience.
• Predictive modelling: propensity, churn, value or forecasting.
• Experience moving models to production with engineering.

Responsibilities

• Develop customer segments using behavioural and transactional data, helping businesses understand their customers and take targeted action.
• Develop and validate propensity, churn, customer-value models and customer-level forecasts.
• Work with large customer datasets spanning multiple years, owning data preparation, feature engineering and model evaluation.
• Partner with marketing and CRM teams to activate model outputs in campaigns and measure their impact.
• Take models through to production with engineering colleagues, monitoring performance and improving them over time.
• Explain your recommendations to product teams, clients and senior stakeholders.

Skills

Python

SQL

Statistical modelling

Data segmentation

Model validation

Production deployment

Job description

Datatech Analytics is seeking a hands-on Senior Data Scientist to turn first-party customer data into practical tools for acquisition, retention and growth. You will build customer segments, develop propensity and churn models, and push models into production, collaborating with marketing, CRM, and engineering teams across multiple brands.

You'll work with Python and SQL on large, multi-year datasets, validating models and presenting actionable insights to senior stakeholders.