Intelligent AI Limited is an innovative force in the InsurTech and PropTech sectors, focusing on risk management insights and rebuild cost valuations for commercial and residential properties.
Our innovative 360-degree view of property risk has positioned us as a leader in the field. We are recognised for our exceptional solutions, winning the Zurich Innovation Challenge in the UK in 2022 and the QBE InteliCITY Property Championship in 2023. We are also members of the prestigious Lloyd’s Lab (Lloyd’s of London Innovation Hub) which allowed us to co-design our platforms with leading organisations in the industry, engaging closely with major insurers and brokers to refine our technology and meet the specific needs of our target markets.
Please note that we are currently working with a select group of approved recruitment partners and are not seeking outreach from additional recruiters regarding these roles. However, we welcome direct applications from candidates who are interested.
Roles
Role Description This is a full-time remote role for a Data Scientist. The Data Scientist will be responsible for analysing large datasets to extract actionable insights, building predictive models, and developing data-driven solutions to complex problems. The role involves data visualization, statistical analysis, and collaboration with cross-functional teams to implement data-driven decision making.
Responsibilities Sourcing data via open and commercial sources Communicating and liaising with data providers and potential data providers Understanding data licensing and its implications for our use case. Full ETL pipeline Full data lifecycle management Skills Jupyter notebooks (usually python) Azure Data Factory desirable Knowledge of Document databases Cosmos DB desirable Knowledge of Relational databases PostgreSQL desirable Spatial data analysis and storage QGIS/PostGIS desirable Skills in Data Visualization and presentation Expertise in Data Science and Data Analysis Proficiency in Statistics and Data Analytics Experience with programming languages such as Python, C# .NET desirable Strong problem-solving and analytical skills Excellent written and verbal communication skills Ability to work independently and remotely Experience in the insurance or property sectors desirable
Role Description This is a full-time, remote role for a Dotnet Developer. Responsible for the full software development lifecycle, including the design, development, and maintenance of software applications.
Responsibilities Responding to DevOps tickets by writing considered and detailed task definitions that demonstrate a full and clear understanding of the work required to fulfil the requirement. Triaging bugs by understanding the description and reproduction steps, reproducing where possible and determining the correct cause of remediation Debugging code to correct defects by fixing the cause not the symptom. Ensuring code quality is retained by introducing and maintaining automated tests. Proposing technological improvements based on applicable experience and best practice. Providing guidance and mentorship to junior team members to support their professional development and enhance their skills. Skills Strong understanding and application of Object-Oriented Programming (OOP) principles .NET 6+ and ASP.NET Azure Functions - out of process desirable Data storage and retrieval with .NET – CosmosDB, PostgreSQL desirable Automated test for unit and integration tests – Xunit, Moq, Selenium desirable Source control management – git, Azure Devops desirable Self-starter, highly motivated to succeed Excellent problem-solving and analytical skills Excellent written and verbal communication
Role Description This is a full-time remote role for a DevOps Engineer. The DevOps Engineer will be responsible for designing, implementing, and maintaining cloud-based solutions, maintaining and running build and deployment infrastructure and ensuring changes are made available for test as far left in the process as possible.
Responsibilities Managing and optimizing cloud infrastructure using Infrastructure as Code (IaC) Implementing continuous integration and continuous delivery pipelines. Azure environment management ensuring system reliability, performance, and security. Backup management Cost Optimisation Identifying improvement to infrastructure through new Azure resource offerings Managing end of life on Azure resource offerings Disaster Recovery (DR) environment reliability. Skills IaC tools and practices – Bicep desirable Azure Devops pipelines Azure system administration – Microsoft certification desirable Ability to work independently and remotely Excellent written and verbal communication Experience of the Microsoft Well Architected Framework Experience in Enterprise level DevOps and Cloud infrastructure management Experience of ISO27000 standards family implementation and certification 
