> Markdown version of [/jobs/ext/3907408-ey-gds-consulting-d-a-data-scientist-senior](https://www.wearedevelopers.com/jobs/ext/3907408-ey-gds-consulting-d-a-data-scientist-senior). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # EY - GDS Consulting - D&A - Data Scientist - Senior - **Company:** Ernst & Young - **Location:** UK - **Experience:** Expert - **Salary:** £46,673.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Business Analytics Applications, Computer Vision, Big Data, Cloud Computing, Python (Programming Language), Machine Learning, Natural Language Processing, NumPy, SQL Databases, Deep Learning, Git, Pandas - **Published:** October 25, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5295888567 ## About the Role EY GDS is looking for a motivated, result oriented and quality focused experienced and skilled data scientist who has deep knowledge and expertise in developing insurance analytics solutions. The candidate will be responsible for delivering high-quality analytical solutions to our clients in the insurance industry, using advanced techniques and technologies., * 6-8 years of experience in analytics, with at least 5 years of experience in insurance analytics * Strong expertise in the application of analytical and AI techniques, such as optimization, simulation, machine learning, deep learning, natural language processing, computer vision, etc. * Knowledgeable with the underwriting and claims processes of various insurance products, and familiar with the specific problem areas and analytics models to be developed * High expertise in Python and next generation technologies such as cloud, big data, AI/ML, etc. * Proficient in Python and SQL programming * Strong knowledge of Pandas and Numpy libraries. * Excellent mathematical, statistical, and analytical skills. * Understanding of end-to-end product development lifecycle in different environments such as dev, QA, and production. * Git version control and Agile development experience. * Experience in architecting and working on end-to-end analytics project lifecycle, including data acquisition, model development, validation, deployment and monitoring * Ability to manage clients and stakeholders effectively and build strong relationships * Ability to translate business problem into analytics problem and vice versa * Excellent presentation and consulting skills ## Description * A data scientist having good business understanding, capable of translating business requirement into analytical and OR problem. * Lead and manage analytics projects for insurance clients from end-to-end, including problem definition, data acquisition, model development, validation, deployment and monitoring * Work closely with clients and stakeholders to understand their business needs and objectives, and translate them into analytics problems and solutions * Provide thought leadership and guidance on best practices and methodologies for insurance analytics * Architect and implement scalable and robust analytics solutions using Python and next generation technologies such as cloud, big data, AI/ML, etc. * Get involved in business development, client engagement, proposal writing and presentation of the solutions to senior stakeholders and clients. * Present and communicate the results and insights of the analytics solutions to clients and stakeholders in a clear and effective manner * Mentor and coach junior analysts and developers on the team, * Manage end to end project delivery- scoping, solutioning, designing, developing, testing, deploying or maintaining. * Ensuring the solutions meet the client requirements and expectations * Communicate effectively with the clients and internal stakeholders throughout the project * Identify new opportunities and generate proposals for potential clients * Present the solutions and showcase the value proposition to senior stakeholders