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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Science Consultant - **Company:** FalconSmartIT - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Microsoft Azure, Cloud Computing, Cloud Engineering, Data Visualization, Python (Programming Language), Machine Learning, Power BI, Azure Machine Learning, SQL Databases, Feature Engineering, Large Language Models, Generative AI, Machine Learning Operations, Virtual Agents, Databricks - **Published:** September 4, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=2072821c42ed5285 ## About the Role * 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., * 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., * 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. ## Description 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., 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. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)