Data Scientist: Predictive Analytics & Strategic Insights

AbbVie; Maidenhead; On-site; GBP 65,000 - 100,000; Full time

Job summary

AbbVie in Maidenhead is seeking a Data Scientist to design, develop, and maintain advanced analytics and ML solutions for the affiliate. You will translate business questions into robust analytical frameworks, partner with stakeholders to define use cases and success criteria, and deliver scalable, compliant analytics that drive measurable value across immunology, oncology, and neuroscience portfolios.

The role requires strong technical capability, business acumen, and excellent communication to

Qualifications

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

Responsibilities

• Design, develop, deploy, and maintain predictive and prescriptive models for affiliate needs.
• Translate commercial problems into mathematical, statistical, and analytical approaches.
• Apply machine learning and advanced analytics methods to solve complex business challenges.
• Partner with stakeholders to define business questions, requirements, timelines, objectives, and success criteria.
• Work closely with analytics and technical teams to move solutions into production.
• Ensure projects are delivered on time, within budget, and in line with governance.

Skills

Data science

Machine learning

Statistical modelling

Python

R

Communication skills

Stakeholder management

Problem solving

Education

Bachelor's degree in quantitative field

Master's degree or higher

Tools

Python

R

SQL

Job description

AbbVie in Maidenhead is seeking a Data Scientist to design, develop, and maintain advanced analytics and ML solutions for the affiliate. You will translate business questions into robust analytical frameworks, partner with stakeholders to define use cases and success criteria, and deliver scalable, compliant analytics that drive measurable value across immunology, oncology, and neuroscience portfolios.

The role requires strong technical capability, business acumen, and excellent communication to