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Permanent Position Required: Senior Data Scientists (x2)
A leading UK organisation is seeking two experienced Data Scientists to join their London-based analytics team, focusing on healthcare data and insights.
Location: Canary Wharf, London - Hybrid & Flexible working on offer
Salary: £50,000 - £60,000 + Fantastic Benefits
Contract: Permanent, Full-time (Flexible working available)
The Data Scientists will:
- Develop and implement complex statistical and machine learning models
- Analyze large healthcare datasets to deliver actionable insights
- Create predictive models for value prediction and risk analysis
- Contribute to model testing and development activities
- Research and develop new analytical methodologies
- Liaise with stakeholders to understand complex problems
- Communicate findings to senior management and external partners
- Support cloud infrastructure planning and implementation
- Contribute to internal/external publications and research
- Aid in training and development of the wider analytics team
Required for Both Positions:
- Degree level education in relevant field (Masters desirable)
- Advanced Python programming expertise
- Significant experience in data science/machine learning
- End-to-endMLlifecycle experience including:
- Data preprocessing and feature engineering
- Model selection, training, and tuning
- Model evaluation and deployment
- Production monitoring and maintenance
- Experience with Azure cloud platform and Azure ML services
- Strong analytical and problem-solving abilities
- Excellent communication skills for explaining complex concepts
- Ability to manage multiple workflows and meet tight deadlines
Additionally, they require at least one candidate to have expertise in each of:
- Natural Language Processing & LLMs:
- Experience with model pre-training and fine-tuning (single/multi-task)
- Knowledge of LoRA, PEFT, RAG, and RLHF
- Experience with multiple LLM frameworks (e.g., Llama, Claude, OpenAI)
- Ability to work with large text corpora (>512 tokens, >10M documents)
- Advanced Statistical Analysis:
- Deep knowledge of sampling and data distributions
- Experience with data transformations and normalisation
- Expertise in parametric/non-parametric regressions
- Statistical inference and hypothesis testing
- Causal inference methods
- Practical experience with mixed models (FEM, GLM, GLMM)
This is an excellent opportunity to join a forward-thinking organisation and apply cutting-edge data science techniques to make a meaningful impact in the healthcare sector.
In our company values we aim for equity at all stages of the recruitment process, please let us know if we can do anything to make the process more accessible to you.
