Data Science Consultant (Insurance Domain)

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 Responsibilities Business 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.