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Senior Data Scientist
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Senior Data Scientist (Biostatistics)
London (Hybrid – 2 days per week)
Competitive Salary + Benefits
Are you passionate about applying statistical modelling to solve complex real-world challenges?
We're working with a growing consultancy that's looking to appoint a Senior Data Scientist (Biostatistics) to support clients in advancing their statistical modelling capabilities. This is a unique opportunity to work at the intersection of biostatistics, software engineering and cloud technologies, helping organisations develop robust, scalable and production-ready statistical solutions.
You'll collaborate with biostatisticians, statisticians and cross-functional teams to refine modelling approaches, improve reproducibility and deploy analytical workflows into modern cloud environments.
What you'll be doing
- Designing and developing scalable R-based statistical modelling workflows.
- Working closely with biostatisticians to improve modelling approaches and methodologies.
- Developing reusable R packages and supporting robust statistical software development.
- Implementing best practices around testing, documentation, version control and CI/CD.
- Supporting the deployment of statistical models into production cloud environments.
- Providing technical guidance to help improve modelling and engineering standards.
- Collaborating with stakeholders to ensure statistical solutions are reproducible, maintainable and scalable.
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What we're looking for
We're interested in speaking with experienced professionals who can demonstrate:
- A strong background in statistics, ideally within biostatistics.
- Advanced R programming skills, including package development.
- Experience using Git and collaborative development workflows.
- Knowledge of CI/CD pipelines, automated testing and software engineering best practices.
- Experience designing reproducible statistical modelling workflows.
- Exposure to Databricks or other cloud-based data platforms.
- Excellent communication skills with the ability to explain complex statistical concepts to a variety of stakeholders.
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Experience deploying statistical models into production environments or working with APIs would be advantageous but isn't essential.
Why apply?
- Work on technically challenging statistical modelling projects.
- Help bridge the gap between statistical science and modern software engineering.
- Collaborate with highly experienced biostatisticians and multidisciplinary teams.
- Work with modern cloud technologies and scalable analytics platforms.
- Join a collaborative consultancy that values technical excellence, innovation and continuous learning.
- Hybrid working and a competitive salary and benefits package.
If you're looking for an opportunity to combine advanced statistical modelling with modern engineering practices, we'd love to hear from you. Apply today or get in touch for a confidential conversation.
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