Hiscox

www.hiscoxgroup.com

2 Jobs

2,817 Employees

About the Company

Hiscox is a leader in specialist insurance. We seek to provide the best protection and peace of mind for our clients through high quality insurance products, backed with excellent service. We are experts in covering a wide range of personal and commercial risks.

Listed Jobs

Company Name: Hiscox
Job Title: Machine Learning Engineer
Job Description: **Job title:** Machine Learning Engineer **Role Summary:** Design, build, and deploy scalable, production‑ready machine learning and generative AI solutions. Manage the full ML life cycle, from environment setup and model training to deployment, monitoring and maintenance, ensuring seamless integration with existing data pipelines and infrastructure. **Expectations:** * Translate research prototypes into enterprise‑grade services. * Apply software engineering best practices to deliver maintainable, reliable code. * Communicate complex technical concepts clearly to non‑technical stakeholders. * Collaborate cross‑functionally with data scientists, data engineers, software engineers and business owners. **Key Responsibilities:** 1. Define and evolve the data science platform, establishing tooling, best practices and ML engineering standards. 2. Automate the end‑to‑end data science workflow using CI/CD, IaC and container orchestration to enable fast, repeatable deployments. 3. Develop high‑quality Python code for model development, deployment and monitoring. 4. Participate in architecture and deployment strategy discussions, selecting appropriate modelling approaches. 5. Deploy models to cloud‑native services (Azure/Kubernetes/Databricks) and maintain them in regulated environments (finance/insurance). 6. Work with LLMs, generative or agentic AI experiences as required. **Required Skills:** * Proven experience as a data scientist or ML engineer in a business setting. * Advanced Python programming and professional software engineering practices. * Strong understanding of core data science principles and ML pipelines. * Experience with containerization (Docker), Kubernetes and cloud deployment on Azure or similar. * Familiarity with VCS (git), CI/CD (Azure DevOps or equivalent) and project tracking tools (JIRA). * Ability to translate technical solutions for non‑technical audiences. * Prior deployment of production‑level ML models, ideally in regulated industries. * Exposure to LLMs, generative or agentic AI deployments is a plus. **Required Education & Certifications:** * Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering or related field. * Certifications in cloud platforms (e.g., Azure, Kubernetes) or ML engineering are advantageous but not mandatory. ---

Manchester, United kingdom

On site

17-12-2025

Company Name: Hiscox
Job Title: Data Scientist
Job Description: **Job Title:** Data Scientist **Role Summary:** Lead data-driven decision‑making across multiple business functions, delivering analytical solutions from data understanding to model deployment. Bridge technical teams and business stakeholders, translating complex insights into actionable strategies and fostering a data‑centric culture. **Expectations:** - Apply advanced analytics, machine learning, and statistical modelling to solve industry‑specific challenges. - Advocate evidence‑based decisions, communicating findings clearly to diverse audiences. - Continuously learn and adopt emerging tools, methodologies, and best practices in software development and data science. **Key Responsibilities:** - Own end‑to‑end data solutions: assess business problems, design scientific approaches, preprocess large/varied datasets (internal and third‑party). - Build, validate, and operationalise predictive, prescriptive, and NLP/vision models using Python, R, SQL, and modern ML frameworks. - Collaborate with data engineers, pricing and underwriting experts, and the analytics community to mature analytics capabilities. - Derive insights, create visualisations and reports that articulate business value to stakeholders. - Manage model lifecycle, monitor performance, and refine models in a production environment. - Engage in agile workflows, version control, and iterative delivery. **Required Skills:** - Proven experience in predictive modelling, data mining, or advanced analytics; familiarity with ML pipelines and libraries. - Proficiency in Python or R, SQL, and data manipulation libraries (pandas, dplyr, etc.). - Strong statistical foundation: hypothesis testing, probability, regression, and related techniques. - Ability to work autonomously and in small teams; excellent verbal and written communication, presentation skills. - Experience or strong interest in natural language processing, computer vision, and large language models. - Familiarity with version control (Git), agile practices, and cloud platforms (GCP preferred). - Willingness to adopt best practices in software development and reproducible research. **Required Education & Certifications:** - Bachelor’s degree in a STEM field or closely related area (equivalent experience acceptable). - Master’s degree or additional advanced qualifications preferred. ---

London, United kingdom

On site

26-02-2026