Job Description – Machine Learning Engineer – Lisbon

About Hiscox:

At Hiscox we care about our people. We hire the best people for the work, and we’re committed to diversity and creating a truly inclusive culture, which we believe drives success. We embrace hybrid-working practices, balancing the ability to work remotely with the culture and energy we experience when we are face-to-face in our offices. Our focus on collaboration and cross- functional working is supported with virtual tools that minimise physical travel, hot-desking neighbourhoods that create a physical sense of community and Team Charters that our teams co- create to set out how they’ll work together. This modern way of working has contributed to impressive employee engagement scores across Hiscox and means we’re delivering even better solutions for our Hiscox Colleagues. As an international specialist insurer we are far removed from the world of mass market insurance products. Instead we are selective and focus on our key areas of expertise and strength - all of which is underpinned by a culture that encourages us to challenge convention and always look for a better way of doing things. We insure the unique and the interesting. And we search for the same when it comes to talented people. Hiscox is full of smart, reliable human beings that look out for customers and each other. We believe in doing the right thing, making good and rebuilding when things go wrong. Everyone is encouraged to think creatively, challenge the status quo and look for solutions. Scratch beneath the surface and you will find a business that is solid, but slightly contrary. We like to do things differently and constantly seek to evolve. We might have been around for a long time (our roots go back to 1901), but we are young in many ways, ambitious and going places. Some people might say insurance is dull, but life at Hiscox is anything but. If that sounds good to you, get in touch. You can follow Hiscox on LinkedIn, Glassdoor and Instagram (@HiscoxInsurance)

Machine Learning Engineer As a Machine Learning Engineer at Hiscox, you will play a key role in building and maintaining the infrastructure that supports the deployment of machine learning models across the London Market business unit. You’ll work closely with data scientists, platform engineers, and developers to ensure seamless integration and scalable, production-grade machine learning solutions. You’ll be joining an award-winning team, recognised for its pioneering collaboration with Google to deliver the market’s first AI-enhanced lead underwriting solution, a milestone that reflects our commitment to innovation, impact, and excellence in applying machine learning to real-world insurance challenges. This is a hands-on engineering role focused on developing APIs, infrastructure, and deployment pipelines for machine learning models. You’ll be expected to write clean, reusable code, follow best practices in cloud and software engineering, and contribute to the operational excellence of our machine learning systems.

In addition to strong engineering skills, you’ll bring a solid understanding of data science principles. You should be comfortable reading, questioning, and interpreting machine learning models to ensure they are deployed appropriately and effectively. Your ability to bridge the gap between model development and production deployment will be key to delivering robust, high-impact machine learning solutions. You’ll be expected to understand and implement methodologies from the ML Ops lifecycle. You’ll also be expected to work in an Agile environment, contributing to iterative development cycles, collaborating across disciplines, and adapting quickly to changing requirements. Key Responsibilities:

• Develop and maintain infrastructure for deploying ML models in both real-time and batch

environments.

• Build and maintain Python APIs (Flask/FastAPI) to serve ML models.

• Collaborate with cross discipline engineers to integrate ML services into user-facing

applications.

• Work with platform engineers to align with infrastructure best practices and ensure scalable

deployments.

• Review pull requests and contribute to code quality across the MLE team.

• Monitor and maintain cloud-based ML services, ensuring reliability and performance.

• Design and implement CI/CD pipelines for ML model deployment.

• Write unit tests and follow object-oriented programming principles to ensure maintainable

code.

• Support data modelling and cloud networking tasks as needed.

• Contribute to the development and improvement to our model registry, including tracking

and implementation of model discontinuation upgrades and model monitoring.

Person Specification To succeed in this role, you’ll typically have:

• Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics,

Mathematics, Physics, Engineering) or equivalent.

• Hands on experience in machine learning engineering, including deploying, monitoring, and

maintaining ML models in production environments.

• Experience in finance or insurance is an advantage but not required.

• Solid experience as a Python developer, ideally in a machine learning engineering context.

• Strong understanding of software engineering best practice.

• Experience with TDD.

• Experience with infrastructure as code tools like Terraform.

• Hands on experience with cloud platforms (GCP, AWS, or Azure).

• Familiarity with containerization using Docker and orchestration of deployments.

• Experience with CI/CD tools and Git-based development workflows.

• Understanding of API operations monitoring and logging.

• Strong problem-solving skills and ability to work independently on technical tasks.

• Familiarity with Agile methodologies and experience working in Agile teams.

Key Technical Skills

• Python (Flask/FastAPI, OOP, unit testing).

• Machine learning model experience (Neural networks, Random forests etc.).

• Terraform or similar Infrastructure as Code (IaC) tools.

• GCP, AWS, or Azure.

• Docker and containerised deployments.

• CI/CD pipelines.

• Git based development.

• SQL.

• Cloud/API operations monitoring.

• Cloud networking is an advantage but not required.

Job Description – Data Scientist

About Hiscox:

At Hiscox we care about our people. We hire the best people for the work, and we’re committed to

diversity and creating a truly inclusive culture, which we believe drives success.

We embrace hybrid-working practices, balancing the ability to work remotely with the culture and

energy we experience when we are face-to-face in our offices. Our focus on collaboration and

crossfunctional working is supported with virtual tools that minimise physical travel, hot-desking

neighbourhoods that create a physical sense of community and Team Charters that our teams

cocreate to set out how they’ll work together.

This modern way of working has contributed to impressive employee engagement scores across

Hiscox and means we’re delivering even better solutions for our Hiscox Colleagues. As an

international specialist insurer we are far removed from the world of mass market insurance

products. Instead we are selective and focus on our key areas of expertise and strength - all of which

is underpinned by a culture that encourages us to challenge convention and always look for a better

way of doing things.

We insure the unique and the interesting. And we search for the same when it comes to talented

people. Hiscox is full of smart, reliable human beings that look out for customers and each other. We

believe in doing the right thing, making good and rebuilding when things go wrong. Everyone is

encouraged to think creatively, challenge the status quo and look for solutions. Scratch beneath the

surface and you will find a business that is solid, but slightly contrary.

We like to do things differently and constantly seek to evolve. We might have been around for a long

time (our roots go back to 1901), but we are young in many ways, ambitious and going places. Some

people might say insurance is dull, but life at Hiscox is anything but. If that sounds good to you, get in

touch.

You can follow Hiscox on LinkedIn, Glassdoor and Instagram (@HiscoxInsurance)

Data Scientist

About the Hiscox Data Team

The Hiscox Data Team is transforming data maturity across the organisation to accelerate business

growth and efficiency using Data, Analytics, and AI. The virtual team consists of a central function

driving alignment, Business Unit teams identifying commercial value and providing execution

capacity and technology providing for Data Engineering and ML Operations services.

We aim to empower colleagues by improving data fluency and promote a data-driven, insight-led

culture that supports informed, customer-centric decisions. Commercial focus, continuous

improvement and product centric delivery is at the heart of everything we do.

The Role

Working within the Group Data Science team as a Data Scientist, you will be responsible for building

Data Science solution including working with conventional data science and generative AI. The team

will facilitate the successful delivery of new data analytics, ML and AI based solutions and provide

insights and capabilities to support decision making across the organisation, using a combination of

public and private data sources, models and cloud services.

As part of our data science team you will be involved in the development of solutions to a broad

range of front and back office tasks including, automation of routine tasks, working on novel

approaches to underwriting and pricing risk and enabling the claims function.

Requirements

• Experience of a range of data science and generative AI tools with a willingness to learn

more.

• Understanding of statistics, to enable systematic assessment of AI/ML models.

• Familiarity with a wide range of generative AI.

• Coding ability in python, with understanding of code quality and version control.

• Experience working in an Agile manner.

• A Prototype, fail rapidly and iterate mindset to enable successful delivery

• Confidence communicating within the team to champion suitable methods and willingness

to engage with non technical stakeholders to understand the nature of the solution required.

Diversity & Benefits

At Hiscox we care about our people. We hire the best people for the job and we’re committed to

diversity and creating a truly inclusive culture, which we believe drives success. 

  Working life doesn’t always have to be in the office, so we have introduced hybrid working to

encourage a healthy work life balance.  This hybrid working model is set by the team rather than the

business to enable you to manage your own personal work-life balance. 

  We see it as the best of both worlds; structure and sociability on one hand, and independence and

flexibility on the other. 

   Our benefits package includes a bonus, contributory pension, 25 days annual leave plus 2 Hiscox

days and a 4 week paid sabbatical with every 5 years’ worth of service, private medical for all the

family and much more.

Job Description – Reporting & Analytics Enablement Lead

About Hiscox:

At Hiscox we care about our people. We hire the best people for the work, and we’re committed to diversity and creating a truly inclusive culture, which we believe drives success. We embrace hybrid-working practices, balancing the ability to work remotely with the culture and energy we experience when we are face-to-face in our offices. Our focus on collaboration and cross- functional working is supported with virtual tools that minimise physical travel, hot-desking neighbourhoods that create a physical sense of community and Team Charters that our teams co- create to set out how they’ll work together. This modern way of working has contributed to impressive employee engagement scores across Hiscox and means we’re delivering even better solutions for our Hiscox Colleagues. As an international specialist insurer we are far removed from the world of mass market insurance products. Instead we are selective and focus on our key areas of expertise and strength - all of which is underpinned by a culture that encourages us to challenge convention and always look for a better way of doing things. We insure the unique and the interesting. And we search for the same when it comes to talented people. Hiscox is full of smart, reliable human beings that look out for customers and each other. We believe in doing the right thing, making good and rebuilding when things go wrong. Everyone is encouraged to think creatively, challenge the status quo and look for solutions. Scratch beneath the surface and you will find a business that is solid, but slightly contrary. We like to do things differently and constantly seek to evolve. We might have been around for a long time (our roots go back to 1901), but we are young in many ways, ambitious and going places. Some people might say insurance is dull, but life at Hiscox is anything but. If that sounds good to you, get in touch. You can follow Hiscox on LinkedIn, Glassdoor and Instagram (@HiscoxInsurance)

About the Hiscox Data, Analytics, and AI Team: The Hiscox Global Data, Analytics, and AI Team is applying data-powered innovation across the organisation to deliver tangible commercial value through business growth and efficiency. The team consists of a central function setting strategy, Business Unit teams providing execution capacity, and technology providing Data Engineering and ML Operations services. We empower colleagues through a company-wide data fluency programme and a data-driven, insight-led, customer-centric culture. Commercial focus, continuous improvement and product centric delivery is at the heart of everything we do. The Role: The Reporting and Self Service Enablement Lead is responsible for designing, implementing, and managing reporting solutions and self-service analytics capabilities across the organisation. This role acts as a bridge between business stakeholders and technical teams, ensuring data is accessible, reliable, and actionable to support informed decision-making.

The Reporting & Self Service Enablement Lead is responsible for the day to day running of the Analytics Chapter, bringing together all the analytics professionals and creating common ways of working which speed up delivery, improve quality and support innovation. The standards set by the Reporting and Self-Service Lead will enable business users to independently generate insights while maintaining governance, quality, and consistency of data assets. Key Responsibilities:

• Strategy & Vision: Develop and communicate a clear vision for reporting and self-service analytics, aligning with organisational goals and data strategy.

• Stakeholder Engagement: Collaborate with business units, leadership, and IT to gather reporting requirements, understand business challenges, and prioritise initiatives.

• Solution Design & Delivery: Lead the design, development, and deployment of robust reporting frameworks and self-service tools (e.g., Power BI, Dataiku) ensuring scalability and ease of use.

• Enablement & Training: Drive user adoption by creating training programs, user guides, and best practice documentation, empowering users to build and interpret their own reports.

• Data Governance: Implement and uphold data governance standards, ensuring data accuracy, security, and compliance throughout reporting and self-service platforms.

• Continuous Improvement: Monitor reporting usage and feedback, proactively identifying opportunities for process improvement, automation, and innovation.

• Team Leadership: Lead and mentor the analytics chapter and enablement specialists as required.

• Vendor & Tool Management: Evaluate, manage, and optimise reporting and analytics tools, working closely with vendors and IT for enhancements and issue resolution.

Person Specification:

• Technical Proficiency: Advanced skills in BI/reporting tools (e.g., Power BI, Dataiku), SQL, and data modelling.

• Business Acumen: Strong understanding of business processes, KPIs, and how data supports strategic objectives.

• Communication: Excellent verbal and written communication skills; able to translate complex data concepts for non-technical audiences.

• Project Management: Experience managing multiple projects, timelines, and stakeholders. • Change Management: Proven ability to drive adoption of new technologies and ways of

working. • Problem-Solving: Analytical mindset with a proactive approach to identifying and resolving

issues. • Leadership: Experience leading teams and fostering a culture of knowledge sharing and

continuous improvement. Nice to Have:

• Knowledge or experience of Insurance industry.

Job Description – Vulnerability Analyst

About Hiscox:

At Hiscox we care about our people. We hire the best people for the work, and we’re committed to diversity and creating a truly inclusive culture, which we believe drives success. We embrace hybrid-working practices, balancing the ability to work remotely with the culture and energy we experience when we are face-to-face in our offices. Our focus on collaboration and cross- functional working is supported with virtual tools that minimise physical travel, hot-desking neighbourhoods that create a physical sense of community and Team Charters that our teams co- create to set out how they’ll work together. This modern way of working has contributed to impressive employee engagement scores across Hiscox and means we’re delivering even better solutions for our Hiscox Colleagues. As an international specialist insurer we are far removed from the world of mass market insurance products. Instead we are selective and focus on our key areas of expertise and strength - all of which is underpinned by a culture that encourages us to challenge convention and always look for a better way of doing things. We insure the unique and the interesting. And we search for the same when it comes to talented people. Hiscox is full of smart, reliable human beings that look out for customers and each other. We believe in doing the right thing, making good and rebuilding when things go wrong. Everyone is encouraged to think creatively, challenge the status quo and look for solutions. Scratch beneath the surface and you will find a business that is solid, but slightly contrary. We like to do things differently and constantly seek to evolve. We might have been around for a long time (our roots go back to 1901), but we are young in many ways, ambitious and going places. Some people might say insurance is dull, but life at Hiscox is anything but. If that sounds good to you, get in touch. You can follow Hiscox on LinkedIn, Glassdoor and Instagram (@HiscoxInsurance)

Key Responsibilities:

▪ Support and deputise (where applicable) for the TVM lead across all strategic and operational activities.

▪ Support and play an active role in future TVM release cycles achieving full estate coverage and configuring additional Tenable modules.

▪ Create TVM standard operating procedures to support release cycles and BAU activity. ▪ Analyse and prioritise the outputs from TVM platforms and translate into mitigation actions for

our Fusion Centre CI/CD pipelines. ▪ Perform routine vulnerability assessments of our infrastructure and applications working with the

group functions and business unit technology teams to resolve vulnerabilities and configuration weaknesses inline with defined SLAs.

▪ Track open security weaknesses and vulnerabilities of concern in our estate and manage them through the lifecycle to closure.

▪ Support in-flight security incidents by providing insight into our vulnerability exposure and what potential threat vectors a malicious actor may be trying to target.

▪ Experience of working across multi-cloud environement and resolving vulnerabilities and weaknesses across all.

Candidate Profile:

▪ 1 to 3+ years’ experience in a cyber analyst role, preferably with a focus on TVM technologies. ▪ Excellent working knowledge of the vulnerability management lifecycle. ▪ Excellent analytical skills with the ability to work under own initiative. ▪ Experience of working in a fast-moving environment ▪ Good Tenable One product knowledge. ▪ Good communication skills. ▪ Good presentation and report writing skills. ▪ BSc or MSc in Cybersecurity is desirable. ▪ Industry recognised qualifications such as CompTIA PenTest+ and GIAC GPEN are desirable.