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

Up to £75,000 Dependent on experience

London | Office Monday – Thursday, Friday work from home

Job reference: J13195

Build models that shape who businesses target, how they engage customers and where they invest.

Have you built customer segments that shaped a marketing strategy? Developed a propensity, churn or customer-value model that was used in a live campaign?

An established analytics and technology business is looking for a hands-on Senior Data Scientist to turn first-party customer data into practical tools for acquisition, retention and growth.

You’ll work across established products and new developments, helping major brands make better decisions and measure the commercial impact of your models.

What you’ll do

• 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.

What you’ll bring

You’ll be actively building models in Python and SQL, with examples you can explain from the original business question through to implementation and results.

We’re particularly interested in experience of:

• First-party customer data: personally modelling customer behaviour and transactions, rather than working solely with aggregated reporting.
• Segmentation you designed: selecting the approach, validating the segments and helping the business use them.
• Predictive modelling: building and evaluating propensity, churn, value or forecasting models.
• Marketing activation: putting scores, segments or predictions into CRM journeys or campaigns and assessing the outcome.
• Production delivery: moving beyond notebooks into repeatable, maintained solutions.

You’ll bring strong statistical foundations, sound commercial judgement and the confidence to discuss technical choices and trade-offs.

You’ll enjoy a fast-moving environment, balancing changing priorities with ownership of delivery. Consultancy, agency or client-facing experience would be valuable.

Experience in retail, insurance, financial services or subscription businesses is helpful, but relevant customer-modelling experience matters more than sector. No particular cloud platform is required.

Why consider it?

• See your models used in live products and customer campaigns.
• Work across different brands, datasets and commercial challenges.
• Own projects from the initial question through to production and measured outcomes.
• Work closely with the CTO, engineers and product colleagues, with scope to mentor others and influence technical approaches.

Applicants must have UK right to work without employer sponsorship. This vacancy cannot accommodate Graduate/Post Study or Skilled Worker visa arrangements.