£Up to £145,000 GBP
Up to 15% Bonus
Remote WORKING
Type: Permanent
Principal Data Scientist - Healthcare
Our client is a Leading Digital Transformation Consultancy named a Times Top 100 Company To Work For for seven consecutive years.
As a Principal Data Scientist, you will play a key role in delivering large-scale, high-impact AI solutions across government, healthcare, defence, and commercial sectors. You will provide technical and strategic leadership, shaping AI and data science practices while ensuring responsible, scalable, and production-grade deployment of advanced machine learning, generative, and agentic AI solutions.
Working at the forefront of AI innovation, you will engage with senior stakeholders, including C-level executives, to translate complex technical concepts into measurable business value. This is a senior, client-facing role suited to experienced data scientists who are comfortable leading teams, mentoring talent, and influencing the adoption of modern AI development practices and cloud-native architectures.
You’ll have the opportunity to:
- Lead delivery of complex, production-grade AI/ML solutions at enterprise scale
- Define architectural principles, technical standards, and strategic AI direction
- Shape account strategies and influence commercial AI offerings
- Mentor and develop data scientists, AI engineers, and technical managers
- Foster a culture of responsible AI, innovation, and continuous learning
- Build enduring client relationships and new technology partnerships
Your Responsibilities:
- Own technical leadership and delivery accountability for AI/ML programmes
- Design and assure advanced AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning, LLMs, and agentic AI
- Implement modern AI engineering practices, including prompt engineering, RAG, and orchestration of agentic AI systems
- Lead data engineering for AI, handling large-scale, unstructured, and multimodal data
- Advise clients on responsible AI practices, model interpretability, and ethical considerations
- Translate technical AI concepts into business outcomes for senior stakeholders
- Collaborate with sales and account teams to shape commercial AI offerings
- Build and lead high-performing teams and wider AI/data science communities
Key Requirements:
- Proven track record delivering complex, production-grade AI/ML solutions at scale
- Strong technical leadership experience in AI delivery
- Deep expertise in machine learning, generative AI, and agentic AI technologies
- Experience with data engineering for AI and integration of non-traditional data sources
- Understanding of responsible AI principles, ethics, and interpretability
- Strong commercial acumen and experience influencing business outcomes from AI products
- Experience building, mentoring, and leading high-performing teams
- Ability to engage and negotiate with C-level and senior stakeholders
You will gain exposure with:
- Modern deep learning frameworks (e.g., PyTorch, TensorFlow) and advanced ML libraries (e.g., scikit-learn, XGBoost)
- Fine-tuning and distillation of LLMs (e.g., GPT, Llama, Claude, Gemini)
- Data storage for AI, vector databases, semantic search, and knowledge graphs
- Open-source AI projects, research publications, and industry thought leadership
- AI security, privacy, and compliance standards (e.g., ISO 42001)
Why Join?:
- Work at the forefront of AI innovation, delivering high-impact solutions across multiple sectors
- Shape the AI strategy and capability of a leading digital transformation consultancy
- Develop your career as a Principal Data Scientist in a supportive, high-performance environment
- Influence commercial AI offerings and client outcomes while mentoring future AI leaders
- Be part of a collaborative, inclusive, and ambitious consulting culture
Interested? Apply Now!