Full job descriptionRole: Data Science Consultant
Location: London, UK
Type: FTE
Mode: Hybrid


Role Overview
We are seeking a highly consultative Data Science Consultant with strong insurance industry experience. The role requires a blend of business consulting and hands-on delivery, with approximately 60% of time spent engaging with business stakeholders and 40% spent building and delivering data science and AI solutions.


Key ResponsibilitiesBusiness Consulting (60%)
*Engage with business stakeholders to understand strategic objectives, challenges, and opportunities.
*Facilitate discovery workshops and requirements-gathering sessions.
*Translate business problems into data science, AI, and analytics use cases.
*Present solution approaches, prototypes, and recommendations to business and executive stakeholders.
*Act as a trusted advisor, helping clients prioritise initiatives and define measurable business outcomes.
*Work closely with underwriting, claims, pricing, risk, and customer operations teams.
*Drive adoption of AI and analytics solutions through effective stakeholder management and communication.
Solution Development (40%)
*Design and develop predictive, machine learning, and Generative AI solutions.
*Build prototypes, proof-of-concepts, and production-ready analytical models.
*Perform data exploration, feature engineering, model development, and validation.
*Collaborate with data engineers and architects to operationalise solutions.
*Ensure solutions follow Responsible AI, governance, and security best practices.
*Support deployment, monitoring, and continuous improvement of models.
Required Experience
*10+ years of experience in Data Science, AI, Machine Learning, or Advanced Analytics.
*Demonstrable experience working within the Insurance industry.
*Strong understanding of insurance domains such as Claims, Underwriting, Pricing, Risk, Policy Administration, or Customer Experience.
*Experience leading business discussions and consulting engagements.
*Ability to communicate complex technical concepts to non-technical audiences.
*Strong stakeholder management and presentation skills.
Technical Skills
*Python, SQL, and modern data science toolsets.
*Machine Learning and Predictive Analytics.
*Generative AI, LLMs, RAG, and Agentic AI frameworks.
*Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Databricks, or equivalent cloud platforms.
*Data visualisation and storytelling tools such as Power BI.
*MLOps and model lifecycle management.
Preferred Qualifications
*Experience in client-facing consulting roles.
*Exposure to cloud-based AI and analytics platforms.
*Understanding of Responsible AI and governance frameworks.
*Relevant certifications in Azure AI, Data Science, or Cloud technologies.
Success Profile
*Strong communicator who can influence business stakeholders.
*Equally comfortable in boardroom discussions and hands-on solution development.
*Able to bridge business strategy and technical implementation.
*Passionate about using AI and data science to solve complex insurance business challenges.