About AbbVie
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.
Job Description- 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 & Competencies
- Bachelor’s degree required in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, Physics, Machine Learning, or a related quantitative discipline experinece.
- Master’s 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.
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 https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html
Skills Required
- Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, Physics, Machine Learning, or related quantitative discipline
- Relevant experience in data science, machine learning, AI, advanced analytics, or statistical modelling.
- 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.
AbbVie Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AbbVie and has not been reviewed or approved by AbbVie.
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Retirement Support — 401(k) contributions include a dollar-for-dollar match up to 6% plus an additional annual company contribution tied to age and service. Company-paid life insurance and other financial protections further strengthen long-term security.
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Parental & Family Support — Paid leave programs include up to 12 weeks at 100% for parental leave and separate paid caregiver leave, with eligibility after six months where noted. Adoption and surrogacy reimbursements and family-building resources add further support.
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Healthcare Strength — Health coverage begins on day one with medical, dental, vision, mental health, and prescription benefits, and preventive care covered at 100%. Options such as HSAs/FSAs and coverage for spouses/domestic partners and children up to age 26 broaden accessibility.
AbbVie Insights
What We Do
AbbVie is a global biopharmaceutical company focused on creating medicines and solutions that put impact first — for patients, communities, and our world. We aim to address complex health issues and enhance people's lives through our core therapeutic areas: immunology, oncology, neuroscience, eye care, aesthetics and other areas of unmet need.
