Data Scientist: Predictive & Prescriptive Analytics

AbbVie; Taplow; On-site; GBP 60,000 - 95,000; Full time

Job summary

AbbVie is seeking a Data Scientist to design, develop, scale, and maintain advanced analytics and ML solutions for our affiliate in the UK. You will translate business questions into robust analytical frameworks and predictive or prescriptive models that drive measurable value and informed decisions.

Working across business and technical teams, you will partner with stakeholders to define use cases, timelines, and success criteria, while supporting deployment of scalable, compliant analytics

Qualifications

• Bachelor's degree in a quantitative discipline required.
• Master's degree or higher preferred.
• Experience in data science, machine learning, AI, analytics, or statistical modelling.
• Experience delivering predictive or prescriptive ML solutions with business impact.
• Strong programming in Python, R, or similar languages.

Responsibilities

• Design, develop, deploy, and maintain predictive and prescriptive models to address affiliate business needs.
• Translate commercial problems into mathematical, statistical, and analytical approaches.
• Apply machine learning and advanced analytics methods to solve complex business challenges.
• Build reliable, scalable, and modular solutions using datasets of varying quality and completeness.
• Maintain, optimise, and refresh existing models to ensure continued performance and value.

Skills

Python

R

Statistics

Machine Learning

Data Analysis

Communication

Stakeholder Management

Visualization

Collaboration

Git/MLOps basics

Education

Bachelor's degree in Data Science/Quantitative field

Master's degree or higher preferred

Tools

Python

R

SQL

Git

Job description

AbbVie is seeking a Data Scientist to design, develop, scale, and maintain advanced analytics and ML solutions for our affiliate in the UK. You will translate business questions into robust analytical frameworks and predictive or prescriptive models that drive measurable value and informed decisions.

Working across business and technical teams, you will partner with stakeholders to define use cases, timelines, and success criteria, while supporting deployment of scalable, compliant analytics