Data Scientist, Consumer Insights & Personalisation

The Edrington Group; Glasgow; Hybrid; GBP 52,000 - 66,000; Full time

Benefits offered by this job

Pension scheme

Share reward scheme

Private medical insurance

Counselling and wellbeing support

Staff product allowance

Staff discount

Hybrid working

Parental leave

Carers leave

Job summary

The Edrington Group is seeking a Data Scientist - Consumer Data to transform consumer datasets into actionable insights that inform brand strategy, engagement and CRM decisions. You’ll work across The Macallan, Highland Park, The Glenrothes and Brugal priorities within a modern product-led tech environment.

You will mine, model, and interpret complex data, develop predictive insights, and help evolve data capability.

Qualifications

• Proven experience in data science or advanced analytics roles using consumer data.
• Strong analytical and statistical capability with experience delivering actionable business insight.
• Experience building predictive models that support operational decision‑making.
• Advanced SQL capability and experience working with analytical data platforms.
• Strong ability to communicate complex analysis to non‑technical stakeholders.
• Practical understanding of data governance, data quality and responsible data use.
• Experience supporting CRM, marketing analytics or personalisation use cases.
• Familiarity with consumer data platforms (CDP / CRM ecosystems).
• SQL, relational databases, dimensional modelling.
• Python or R for analytics and modelling.
• Power BI or equivalent data visualisation tools.
• Data pipelines / ETL concepts.
• Statistical modelling, machine learning and experimentation.

Responsibilities

• Apply advanced analytics and data science techniques to consumer data across Edrington brands.
• Analyse complex, multi‑source datasets to identify consumer behaviour, patterns and opportunities.
• Generate actionable insight to inform consumer engagement, CRM strategy, personalisation and proposition development.
• Design, build and maintain predictive and prescriptive models (e.g. propensity, Next Best Action, lifetime value, engagement forecasting).
• Develop and maintain consumer segments and personas enriched through behavioural data.
• Design and evaluate experiments (e.g. A/B testing, uplift modelling) to assess effectiveness and incrementality.
• Develop and maintain dashboards and analytical outputs to track consumer engagement and CRM performance.
• Define and standardise KPIs and measurement approaches across brands and markets.
• Work with engineering and platform teams to shape scalable, reusable consumer data models and pipelines.
• Contribute to the development of curated, governed datasets for analytics and reporting.
• Identify opportunities to improve data capture, instrumentation and enrichment.
• Evaluate emerging analytics, data science and AI capabilities and recommend adoption where appropriate.

Skills

Data science

Predictive modelling

Statistical analysis

SQL expertise

Python

R

Power BI

A/B testing

CRM analytics

Data governance

Tools

SQL

Python

R

Power BI

ETL

Job description

The Edrington Group is seeking a Data Scientist - Consumer Data to transform consumer datasets into actionable insights that inform brand strategy, engagement and CRM decisions. You’ll work across The Macallan, Highland Park, The Glenrothes and Brugal priorities within a modern product-led tech environment.

You will mine, model, and interpret complex data, develop predictive insights, and help evolve data capability.