Salary: £50,000 - 80,000 per year
Requirements:
- Strong academic background in a STEM discipline
- Proven experience delivering data science, machine learning or AI solutions in a commercial environment
- Strong programming capability in Python, including Pandas, NumPy, SciPy or similar
- Solid grounding in statistics, probability and data analysis
- Hands-on experience with large language models, including RAG pipelines, fine-tuning approaches and agent-based architectures
- Practical understanding of how to apply LLMs to real-world use cases
- Experience with model deployment and MLOps tools such as Databricks and MLflow
- Familiarity with version control such as Git and collaborative development practices
- Awareness of best practices in code quality and reproducibility
- Ability to explain complex technical concepts to non-technical stakeholders
- Experience working in client-facing or cross-functional teams
- Strong problem-solving skills and the ability to manage ambiguity
Responsibilities:
- Build and deploy data science, machine learning and simulation models to solve complex business problems
- Apply advanced techniques including optimisation, forecasting, statistical modelling and AI
- Develop LLM-based solutions, including retrieval-augmented generation, fine-tuning, prompt engineering and agent-based workflows
- Work with large and complex datasets, both structured and unstructured
- Write clean, scalable Python code for model development and production use
- Use tools such as Databricks, MLflow and modern AI platforms to manage the full model lifecycle
- Translate technical outputs into clear, commercially relevant insights
- Engage directly with stakeholders to define problems and shape solutions
- Collaborate with multidisciplinary teams across data, engineering and strategy
- Lead projects or workstreams end-to-end at Manager level
- Manage and mentor junior team members at Manager level
- Own stakeholder relationships and present to senior audiences at Manager level
- Contribute to business development and proposition building at Manager level
Technologies:
- AI
- Databricks
- Git
- LLM
- Machine Learning
- Python
- numpy
- pandas
More:
We are a growing Simulation & Insights team working at the intersection of data science, AI and decision modelling. Based in London with a hybrid working model, we offer a salary of £50,000 - £80,000 depending on experience, plus bonus and benefits. This role is available at Assistant Manager or Manager level, with clear progression, strong focus on learning and development, and the opportunity to work on high-impact projects across multiple industries with collaborative, high-performing peers.
last updated 31 week of 2026
Data Scientist (Assistant Manager/Manager) employer: Stryker Corporation
Stryker Corporation is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the chance to thrive in a remote setting while being part of a leading medical communications team. With a strong emphasis on professional development and growth opportunities, employees are encouraged to enhance their skills and advance their careers, all while contributing to meaningful projects that impact healthcare globally.
