Data Scientist

Role overview

Core responsibilities

• Apply advanced analytics and data science techniques to consumer datasets.
• Analyse multi-source data to identify behaviours, patterns, and opportunities.
• Create insight for CRM, engagement, personalisation, and proposition development.
• Build predictive and prescriptive models, segments, personas, and experiments.
• Develop dashboards and standardize KPIs for consumer and CRM performance.
• Shape scalable data models, pipelines, curated datasets, and data quality improvements.
• Evaluate emerging analytics, data science, and AI capabilities.

Talent and skills

• Experience in data science or advanced analytics using consumer or customer data.
• Strong analytical and statistical capability and experience delivering actionable insight.
• Experience building predictive models for operational decision-making.
• Advanced SQL and experience with analytical data platforms.
• Ability to explain complex analysis to non-technical stakeholders.
• Understanding of data governance, data quality, and responsible data use.
• Experience with CRM, marketing analytics, or personalisation use cases.
• Knowledge of relational databases, dimensional modelling, Python or R, visualisation, ETL, machine learning, and experimentation.
• Familiarity with consumer data platforms or CRM ecosystems is useful.

Compensation and benefits

• The stated salary range is £52,000 to £66,000.
• Benefits include holiday entitlement, pension contributions, share rewards subject to eligibility, private medical insurance, wellbeing support, product allowance, and staff discounts.
• The company provides hybrid working and family-related leave options.

Workplace

• The role offers hybrid working.

About Edrington