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# Data Scientist

- **Company:** Edrington
- **Location:** Glasgow, UK
- **Salary:** £52,000.0 - £66,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Data Analysis, Customer Data Management, Data Governance, Extract Transform Load (ETL), Relational Databases, Digital Technology, Dimensional Modeling, Python (Programming Language), Machine Learning, Power BI, SQL Databases, Data Analytics, Data Management, Data Pipelines
- **Published:** July 5, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=d03c29de67c049c6

## About the Role

Proven experience in data science or advanced analytics roles using consumer or customer 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

## Description

This role exists to unlock value from Edrington's consumer data by transforming it into actionable insight that informs brand strategy, consumer engagement, personalisation and business decision-making.Sitting within Digital Technology, the Data Scientist - Consumer Data will lead advanced analytics and data science activity across multiple brands, with The Macallan as the primary focus, while also supporting Highland Park, The Glenrothes and Brugal as priority brands within scope.

Working closely with Marketing, Consumer Insight, CRM and wider Digital & Technology teams, the role will mine, model, analyse and interpret complex consumer datasets, develop predictive and prescriptive insights, and help evolve Edrington's consumer data capability as part of a modern product-led technology organisation.

Make an Impact

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


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