Cornucopia IT Resourcing

About the Company

Who we are:
A Data Intelligence expert recruiters with over 15 years’ experience delivering high end recruitment solutions to the technology industry. We are extensively recruiting and sourcing for Data and Analytics roles, we work one on one delivering a personal service for the duration of the recruitment process, meaning that we act as an extension of our client’s business to provide a value-add consultative process to talent acquisition and retainment.

Types of roles we are regularly recruiting for throughout Europe;
• Data Architects
• Data Engineers
• Data Scientists
• Business Intelligence Developers
• Analytics Architects / Developers / Consultants
• DevOps
• Programme Managers
• Project Managers

Proven benefits to clients:
• Exclusive access to a database of 1,000’s of Data & Analytics candidates, many of whom are not on job boards resulting in a high-quality candidate pool.
• A proven candidate selection process in which we will only present to you a small number of pre-screened quality candidates. Thus, ensuring they have the right mix of technical skills, proven experience and cultural fit to your company.
• Saving you time and money we will only work with a select number of businesses at any one time, ensuring your position is given the attention it needs to find you the right person in a timely manner.

Proven benefits to candidates:
• We partner with you in a personal service working with a single consultant taking time to discover your career goals. We then fully brief and prepare you for all stages by supporting you through the entire recruitment process.
• Leverage our extensive knowledge, relationships and connections to find you your perfect career move in Data Intelligence.
• Many of our positions are not advertised so connect with us to explore your best options, let’s have a conversation about your next career move.


01483 769220
www.c-itr.com-itr.com

Listed Jobs

Company Name

Cornucopia IT Resourcing

Job Title

Data Scientist

Job Description

**Job Title:** Data Scientist – Applied AI (Commercial Insurance) **Role Summary:** Hands‑on Data Scientist focused on building and deploying AI solutions for commercial insurance claim processing. Works on product development and client delivery to enhance AI pipelines, validate outputs, and accelerate feature releases across multiple customers. Requires strong Python and Gen AI expertise, knowledge of insurance claims, and ability to operate in a fast‑moving startup environment. **Expactations:** - Deliver AI‑driven improvements quickly and reliably. - Translate complex, unstructured claim documents into actionable insights. - Communicate results and technical concepts clearly in written English. - Collaborate with product, engineering, and client teams to tailor solutions to insurance workflows. **Key Responsibilities:** - Design, implement, and optimize prompt‑driven AI pipelines for claim document analysis. - Validate model outputs against real‑world insurance data and iterate for higher accuracy. - Integrate AI components into the flagship platform and support multiple client deployments. - Maintain code quality using Git, develop SQL queries (PostgreSQL) for data extraction, and manage cloud resources (Azure preferred). - Conduct performance monitoring, troubleshooting, and continuous improvement of AI models. - Contribute to product roadmap by providing technical insights and feasibility assessments. **Required Skills:** - Proven experience as a Data Scientist with hands‑on implementation of Generative AI / LLM technologies. - Proficiency in Python (including libraries such as pandas, scikit‑learn, PyTorch/TensorFlow). - Strong SQL skills, particularly PostgreSQL. - Familiarity with version control (Git) and cloud platforms (Azure, AWS, or GCP). - Practical experience in commercial insurance claim processing or related domains. - Ability to craft and tune prompts for LLMs and develop AI‑assisted workflows. - Excellent written communication in English. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field (Master’s preferred). - Relevant certifications (e.g., Azure AI Engineer Associate, AWS Machine Learning Specialty, or similar) are advantageous but not mandatory.

London, United kingdom

Hybrid

28-01-2026

Company Name

Cornucopia IT Resourcing

Job Title

Senior Data Scientist

Job Description

Job Title Senior Data Scientist – Applied AI (Commercial Insurance) Role Summary Lead the design, development, and operational evaluation of large‑language‑model (LLM) pipelines for text‑intensive claims analytics in a fast‑moving AI startup focused on commercial insurance. Expectations - Deliver high‑impact, production‑grade AI solutions that transform unstructured claim documents into actionable insights. - Collaborate closely with clients and pilot teams, translating feedback into rapid product iterations. Key Responsibilities - Design and iterate LLM prompt pipelines for claims summarisation, audit, fraud/leakage detection, and coverage checks. - Process and structure long, unstructured PDFs, reports, and adjuster notes. - Build and maintain evaluation frameworks to benchmark AI outputs against real evidence, identifying hallucinations, bias, and reasoning gaps. - Develop data pipelines, orchestration, and evaluation scripts in Python. - Query PostgreSQL databases, work within Azure cloud environments, and manage code via GitHub. - Employ AI coding assistants (e.g., Copilot, Cursor, LLMs) to accelerate development. - Support client pilots and convert operational insights into product improvements. Required Skills - Strong data science experience with Python, SQL (PostgreSQL), and Git. - Proven deployment of LLM or prompt‑driven systems in production. - Familiarity with Azure cloud services. - Experience working with large, complex unstructured text data (claims, PDFs). - Ability to build evaluation frameworks and identify hallucinations and bias. - Excellent communication and stakeholder collaboration skills. Required Education & Certifications - Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related technical field. - Relevant certifications in cloud platforms (e.g., Azure Fundamentals) or machine learning are advantageous.

London, United kingdom

Hybrid

Senior

09-02-2026