Data Scientist New Position

• Located in Maidenhead
• Reporting to Head of Business Intelligence 

Job Overview

The Data Scientist is responsible for designing developing scaling and maintaining advanced analytics and machine learning solutions for the affiliate. The role translates business questions into robust analytical frameworks and predictive or prescriptive models that improve decision-making and deliver measurable business value.

Working across business and technical teams the Data Scientist partners with stakeholders to define use cases requirements timelines and success criteria and supports the deployment of scalable compliant and sustainable analytics solutions. The role combines strong technical capability in data science statistics and programming with business acumen communication skills and a practical delivery focus.

Key responsibilities

Advanced analytics and modelling

• 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.

Business partnering and delivery

• Partner with stakeholders to define business questions requirements timelines objectives and success criteria for data science initiatives.
• Work closely with Business Analysts Data Analysts BTS and technical partners to move solutions from concept or pilot into production.
• Ensure projects are delivered on time accurately within budget and in line with compliance and governance requirements.
• Support validation user acceptance and effective handover of solutions to business users and partner teams.
• Contribute to the deployment of global and affiliate-led analytics automation and AI initiatives.

Communication and impact

• Communicate model logic assumptions outputs and business implications clearly to technical and non-technical audiences.
• Translate complex analyses into clear practical recommendations for decision-makers.
• Use effective visualisation and storytelling approaches to support understanding and action.
• Build strong working relationships across business and technical teams establishing credibility through technical rigour and business relevance.

Qualifications :

Qualifications & Competencies

• Bachelors degree required in Data Science Statistics Mathematics Computer Science Economics Engineering Physics Machine Learning or a related quantitative discipline experinece.
• Masters degree or higher in a relevant quantitative field preferred.
• Relevant experience in data science machine learning AI advanced analytics or statistical modelling.
• Demonstrated experience developing and applying predictive prescriptive or machine learning solutions that have delivered business impact.
• Strong expertise in statistical modelling machine learning predictive analytics and advanced analytical techniques.
• Strong programming skills in Python R or similar analytical languages.
• Experience in model development validation deployment maintenance and performance monitoring in a business environment.
• Ability to work with complex incomplete or imperfect datasets and develop practical solutions around data limitations.
• Strong stakeholder management skills and experience translating unstructured business problems into analytical solutions and actionable recommendations.
• Excellent communication and presentation skills with the ability to explain complex analytical concepts to both technical and non-technical audiences.
• Understanding of coding best practices reproducibility model governance and documentation standards.
• Experience working cross-functionally with business analytics and technical teams in a matrix environment.
• Pharmaceutical healthcare NHS or other regulated industry experience preferred.

Additional Information :

AbbVie is an equal opportunity employer and is committed to operating with integrity driving innovation transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. 

US & Puerto Rico only - to learn more visit  & Puerto Rico applicants seeking a reasonable accommodation click here to learn more:

Work :

No

Employment Type :

Full-time