Data Science Consultant

Role: 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 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.

• Passionate about using AI and data science to solve complex insurance business challenges.