At a Glance
- Tasks: Design and develop advanced analytics and machine learning solutions to solve real business challenges.
- Company: Join a leading pharmaceutical company committed to innovation and community service.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with strong focus on career development and cross-functional teamwork.
- Why this job: Make a tangible impact by translating complex data into actionable insights.
- Qualifications: Bachelor's degree in a quantitative field and experience in data science or machine learning.
The predicted salary is between 63000 - 77000 £ per year.
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
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.
- Additional Information
Abb Vie 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
- US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
Data Scientist in Maidenhead employer: AbbVie
AbbVie is an exceptional employer, particularly for those passionate about biotherapeutics and innovation in the healthcare sector. Located in Oxford, UK, our collaborative work culture fosters creativity and scientific excellence, providing employees with ample opportunities for professional growth and mentorship. Join us to be part of a team that not only drives transformative ideas to the clinic but also values diversity, integrity, and community service.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Maidenhead
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We think you need these skills to ace Data Scientist in Maidenhead
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at AbbVie, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
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How to prepare for a job interview at AbbVie
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at AbbVie!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
