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Hiscox

Hiscox

www.hiscoxgroup.com

3 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 background Company brand
Company Name
Hiscox
Job Title
Data Scientist
Job Description
**Job Title:** Data Scientist **Role Summary:** High-impact role focused on solving complex business challenges using data science to drive evidence-based decisions. Collaborate across functions to design predictive/prescriptive models, advance analytics maturity, and deliver insights that support strategic objectives in a dynamic insurance industry setting. **Expectations:** - Apply technical expertise to innovate and solve business problems. - Translate findings into actionable insights for stakeholders. - Work independently and in cross-functional teams to deliver end-to-end solutions. - Continuously develop technical skills and apply emerging methodologies. **Key Responsibilities:** - Design and implement machine learning/statistical models to analyze complex datasets. - Develop data solutions for business challenges, leveraging internal/external data sources. - Collaborate with cross-functional teams (e.g., pricing, underwriting, data engineering) to enhance analytics capabilities. - Communicate technical results and business value of analytical projects to stakeholders. **Required Skills:** - Advanced proficiency in Python, R, SQL for data analysis. - Experience with predictive/prescriptive modeling (machine learning, data mining). - Familiarity with version control (e.g., Git), agile methodologies, and IT delivery tools. - Strong statistical and mathematical foundation. - Excellent written/verbal communication and presentation skills. - Ability to work independently and in teams. - Willingness to adopt software development best practices. **Required Education & Certifications:** - Bachelor’s degree in STEM or related field (or equivalent experience). Advanced degree preferred. - Basic knowledge of finance/insurance (preferred, not required). - Interest in large language models/cloud platforms (GCP, LLMs) is a plus. - Familiarity with NLP/machine vision and advanced ML techniques (e.g., deep learning) is advantageous.
York, United kingdom
On site
10-11-2025
Company background Company brand
Company Name
Hiscox
Job Title
Workday Functional Consultant
Job Description
**Job title:** Workday Functional Consultant **Role Summary:** Lead the tactical and strategic configuration of Workday HCM to deliver a digitally‑enabled People Transformation roadmap for a global insurer. Act as squad lead, selecting and adapting scale‑clonable solutions, while balancing local needs with best‑practice design and driving optimal user experience. **Expactations:** - Deliver end‑to‑end Workday configuration (HCM Core, Recruiting, Talent, Absence & Time Tracking, Advanced Compensation). - Own the “To Be” HR processes and ensure they are captured in configuration. - Facilitate large requirement workshops with global stakeholders and translate business needs into solution design. - Provide feasibility assessment, effort estimation, and capacity planning for project tasks. - Champion continuous improvement of HR technology estate, reducing unnecessary customisation. - Serve as subject‑matter expert for Workday optimisation across multiple modules. **Key Responsibilities:** - Configure, test, and deploy Workday settings. - Prioritise work with Product Owner and provide delivery insights. - Advise business on feasibility, enhancements, and best‑practice adoption. - Estimate effort and contribute to project planning. - Lead workshops with cross‑functional teams, presenting demos and design proposals. - Shape process taxonomy and design future‑state HR solutions. - Ensure seamless integration with other systems and processes. **Required Skills:** - ≥5 years in full‑cycle Workday configuration and deployment. - Deep functional knowledge of HCM Core, Recruiting, Absence & Time Tracking, Advanced Compensation, Talent & Performance. - Experience leading large‑scale people transformation programmes with a focus on process optimisation and automation. - Proven ability to manage stakeholders at a global scale and challenge assumptions toward best practice. - Strong communication, presentation, and facilitation skills. - Detail‑oriented, self‑organised, analytical, problem‑solving mindset. **Required Education & Certifications:** - Bachelor’s degree or equivalent experience in HR, Business, Information Systems, or related field. - Relevant Workday certifications (e.g., Workday HCM Core, Workday Recruiting, Workday Talent & Performance) preferred.
United kingdom
Remote
Mid level
20-11-2025
Company background Company brand
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