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.