About us:

In today’s digital era, leveraging IT empowers organisations of all sizes to innovate, evolve, and

provide seamless, connected services to their stakeholders – whether they are employees, service

users, customers, patients, tenants, or students.

At Phoenix, we specialise in providing IT solutions and managed services to meet the unique

objectives of each organisation that we work with. Our approach focuses on modernising workplaces

through the utilisation of cutting-edge technologies such as cloud and hybrid infrastructure, AI, cyber

security, collaboration, and productivity solutions.

So what does that mean?

Technology is complicated, and it changes fast. For our customers, that combination can be a real

headache.

Our customers are busy doing really important things like saving lives, protecting people, building

new products, and creating new services. To be really good at what they do, they need simple,

honest, and expert advice on how technology helps them do it.

That’s what we do – we make the complicated simple.

Job Description – AWS Solutions Specialist

Overview of the role

Due to continued growth, we are hiring a AWS Solutions Specialist to sit within our Solutions Team

and support the growth of our AWS partnership. This is a hands-on sales and pre-sales role focused

on shaping AWS propositions, supporting go-to-market activity and progressing opportunities across

our customer base.

What will you be doing?

• Support the development and execution of AWS sales strategy and go-to-market plans.

• Work with sales teams to identify, qualify and progress AWS opportunities across both

existing and net new customers.

• Develop sector-aligned AWS propositions with clear customer outcomes and value.

• Enable internal sales teams through training, updates and guidance on how and when to

position AWS solutions.

• Support customer discovery conversations, helping shape solutions aligned to business

needs and technical requirements.

• Contribute to bids, tenders and customer proposals.

• Maintain accurate pipeline, activity tracking and forecasting using D365 and internal systems.

• Work with AWS and partner vendors to support deal progression, funding programmes and

joint opportunities.

• Manage vendor portals and support deal registration processes, ensuring accuracy and

compliance.

• Track incentive programmes, funding opportunities and partner benefits.

• Create and maintain sales enablement and marketing materials, including playbooks, pitch

decks and one-pagers.

• Communicate effectively across Teams channels and internal forums to keep stakeholders

aligned.

• Build strong relationships across sales, delivery and vendor teams.

• Identify opportunities to improve processes, collaboration and speed from lead to close.

• Stay up to date with AWS services, partner solutions and wider cloud technologies.

Why should you apply?

At Phoenix, our ambition is to be the UK's leading IT solutions and managed service provider - and

we know that only happens because of our people. Culture isn't an afterthought here; it's the thing

we work hardest on.

We're proud to be certified as a Great Place to Work®, and to be recognised on their UK Best

Workplaces lists for Women, Wellbeing, and Development. These aren't badges we chase

- they're the result of how we genuinely choose to treat each other, and how seriously we take our

colleagues' careers, health, and lives outside of work.

When you join Phoenix, you can expect:

• A culture built on trust and belonging: set out clearly in our Culture Blueprint, lived day-to-

day, and reflected in our consistently strong colleague feedback.

• Real investment in your development: structured learning pathways, funded industry

certifications, mentoring, and the encouragement to stretch into new areas.

• A workplace that takes wellbeing seriously: from mental health support and flexible working

to active employee networks and a leadership team that listens.

• A commitment to equity and inclusion: where we actively work to make Phoenix a brilliant

place to build a career, whoever you are.

• Work that matters: supporting the public sector organisations that keep the UK running,

from government and healthcare to defence, public safety, education, housing, and the

charities serving the most vulnerable in our communities.

• Working with the best of the industry: alongside genuine experts, and with strategic

partnerships across the world's leading technology providers, you'll be at the front of the

conversations shaping how UK public services modernise.

We believe in encouraging, supporting, and skilling our people up so that you can be the very

best you can be at work - and we'd love you to consider being part of it.

Take a look at our to get a real sense of who we are.

What are we looking for?

• Experience in IT sales, pre-sales or a solutions role, ideally with exposure to cloud

technologies.

• Knowledge or experience of AWS solutions, services or partner ecosystem.

• Strong communication skills with the ability to translate technical concepts into clear

customer value.

• Ability to run effective discovery conversations and understand customer requirements.

• Strong organisational skills with the ability to manage multiple tasks and priorities.

• Experience managing pipeline, reporting and CRM systems (e.g. D365).

• Confident working with internal and external stakeholders across multiple teams.

• Ability to identify cross-sell and up-sell opportunities.

• Proactive mindset with a willingness to learn and develop within a fast-moving environment.

Experience & Qualifications:

• GCSE Maths & English (or equivalent).

• Approx. 2–3 years’ experience in IT, technology sales or pre-sales.

• Around 12+ months exposure to AWS (sales, pre-sales or partner environment).

• AWS certifications (e.g. Cloud Practitioner, Solutions Architect Associate) desirable but not

essential.

Practical stuff

Where is the role based?

Primary location is our HQ in Pocklington (YO42).

What about hybrid/remote working?

Hybrid working is supported, with a minimum expectation aligned to team requirements. We will

also consider remote working for the right candidate.

How many interviews?

Following a screen with the Recruitment Team, you can expect a two-stage interview process, one

online and one in-person.

Important BPSS Check

As part of our recruitment process and due to the nature of the work we do, all employees are

required to undertake a BPSS check. While some employees may require further security clearance,

the BPSS check is mandatory and all offers of employment are conditional upon successful

completion.

Job Description – ML Engineering Manager

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)

Position: ML Engineering Manager Reporting to: Head of Data Engineering Location: York or Lisbon Type: Permanent Band: II

The Team This role forms part of the Group and Enterprise Services (GES) team lead by the CTO for GES who are accountable for the full life cycle of around 140 applications. GES has several service verticals, including Business Applications made up of 6 value streams and an Enterprise Application team, Data, End User Experience, Core Engineering, Architecture, and Portfolio Management. The role will sit within the Data service vertical, led by a Head of Data Engineering, and reports into the Head of Data Engineering. Machine Learning Engineer We are looking for an experienced Machine Learning Engineer to lead a newly formed ML Engineering team. As a ML Engineering Manager at Hiscox, you will play a key role in building and maintaining the infrastructure to acquire data from the data platform, deploy models, maintain,

monitor and upgrade core data science services in GCP – Vertex AI (essential) and Azure (desirable) that supports the deployment of machine learning models across the enterprise. You’ll work closely with Data Scientists, Platform Engineers, and Developers to ensure seamless integration and scalable, production grade machine learning solutions. This is a hands-on engineering manager 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 life cycle. 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

• Line Management of the ML Engineers, leading the recruitment and onboarding of new engineers when relevant and identifying gaps in capacity and capability.

• Oversee your team’s deployment of ML capabilities and provide support to the Head of Data Engineering, specifically around capacity and delivery of the portfolio.

• As a Team Lead there is an expectation of coaching and mentoring your team members - and supporting the Head of Data Engineering in terms of overall value stream management - especially with partner resources.

• Influence key architectural decisions early on based on requirements of the business, budgets and resiliency. From there working within the values streams to realise this. Moving from a POC to a production ready platform.

• Coach, mentor and influence ML Engineers into greater ML maturity

• Experience building a platform as a service product on top of cloud architecture

• Identifying bottlenecks and using engineering practices to improve the processes

• Taking business requirements and turning it into a solution design diagram and iterating on

it

• Taking a solutions diagram and breaking that down into delivarable pieces of work and

milestones

• 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.

• Ownership of the deployment framework for all data science services. You will have

oversight of how data will flow into the data science life cycle from the wider business data

warehouse

• Oversight of the automation of the data science life cycle (dataset build, training, evaluation,

deployment, monitoring) when we move to production

• Interest and ability to work closely with a team and collaborate on all aspects of the data

science and deployment lifecycle

• Work collaboratively with data scientists, data engineers and other technical teams in order

to help support maturation of analytics practice within the organization

• Writing high quality python code using industry best practice for model training and

deployment

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.

• 5+ years as an ML engineer

• Good understanding of core data science principles and understanding of challenges of

migrating research code into production code

• Hands on experience of GCP and machine learning engineering, including deploying,

monitoring, and maintaining ML models in production environments (Neural networks,

Random forests etc.)

• Experience in financial services or insurance with high amounts of regulation is an advantage

but not required.

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

(Flask/FastAPI, OOP, unit testing)

• Strong understanding of software engineering best practice.

• Experience with TDD.

• Experience with infrastructure as code tools like Terraform or similar Infrastructure as Code

(IaC) tools

• 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.

• Able to articulate on processes and tools utilised to ensure quality, stability, performance, scalability, deployment, security, maintenance and documentation.

• Creative, proactive, logical and innovative – you do not accept the status quo – and will push hard for innovation and automation.

• Highly results driven, with the energy and determination to succeed in a very fast paced environment where the pace of response is critical to success.

• Ability to work as part of a small team that is part of a larger product division

• Proven communication and presentation skills

• Comfortable in a rapidly changing environment

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.

Job Description – Data Governance 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)

We’re a global, specialist insurer headquartered in Bermuda and listed on the London Stock Exchange. With

3,000 employees and offices in 14 countries we’re a business with lots of opportunity for people with talent,

spark and lots of ambition. If you want to build a great career with a company that prioritises strong values –

such as integrity and courage – where our people always pull together to do the right thing for each other and

our customers, then we’d love to hear from you.

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:

The role is responsible for supporting the implementation of the Data Management component of

the Data Strategy Action Plan to drive data innovation, enhance data fluency, improve data quality,

and overall maximize data and analytics utilization as a key value creator for Hiscox.

Reporting to the Group Data Manager, the Senior Data Governance Analyst supports data ownership

and executive understanding of data's value in operations. The Senior Data Governance Analyst has

expertise and experience in core Data Management and Data Governance delivery.

We are seeking an accomplished Data Governance analyst professional who knows what good looks

like, has successfully delivered Data Management and Data Governance in their previous roles, has a

strategic mindset with a highly pragmatic approach to identifying and delivering business value

through good data management practices. Experience of a matrix management environment is

essential.

The Senior Data Governance Analyst supports the Group Data Manager in the overall internal

engagement and quality assurance of the work being produced by the Business Unit Data teams. The

Senior Data Governance Analyst will serve as a key point of contact for Hiscox stakeholders, supports

delivery and ensures alignment with the Hiscox Data Strategy and Hiscox Group Data Policy.

Key responsibilities:

Data Management delivery and maturity

• Support the ‘Lift and shift’ of an existing instance of Informatica Cloud Data Governance

Catalogue (IDMC), to an enterprise deployment, including the configuration and

implementation across the Business Units.

• Working with Data Management colleagues at Group level and within the BUs to embed

Data Ownership and accountability for data within the business.

• Support to the Heads of Data and Business Units discovery and delivery of:

• Key Data Element (KDE) identification, metadata capture and tagging of those KDE’s (i.e. to

apps and business processes)

• identification of appropriate Data Owners and Data Stewards for KDE’s

• documentation of Data Lineage for KDE’s

• the discovery of existing Data Quality rules and Controls for KDE’s, and the delivery of new

appropriate effective Controls for KDE’s

• Master and Reference data management

• Support Data Forums and Working Groups for both Group and the Business Units.

• Support the Group Data Manager in the implementation of appropriate effective Data Risks

and Controls across Hiscox. Support the Heads of Data to proactively identify, quantify,

monitor, and mitigate data risks pertinent to their business unit, implementing robust

controls and comprehensive remediation plans where necessary.

Collaboration and Enablement

• Support the assessment of the progress and success of the data management components

of the Data Strategy delivery through clearly articulated metrics and outcomes.

• Foster and maintain strong professional relationships with the Heads of Data in each

Business Unit, and across the Hiscox data community.

• Enable the adoption and operationalisation of data capabilities by the business units,

ensuring full compliance with the Hiscox Group Data Framework, Data Policy, associated

standards, processes, strategic data tools, platforms, and reference architecture.

• Foster the self-service capability within the business units, ensuring the operational

adoption of new tools and capabilities delivered by Group across Hiscox.

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

Location: London

The Data Scientist

As a Data Scientist you’ll work as part of a wider technical team whose wide ranging efforts span

multiple business functions. This is an ideal role for an individual who is passionate about the use of

analytics to influence decisions and is keen to learn more about delivering value through the use of

data.

Key Responsibilities:

· Leveraging industry standards, emerging methodologies and empirical research to develop critical

inputs to business information, and helping business leaders develop innovative approaches to driving their business.

· Working on the end to end data solution including understanding complex business challenges,

designing scientific solutions, working large and small data sets (including 3rd party and internal data

of a wide variety), using cutting-edge machine learning or statistical modelling techniques to derive

insights

· Work collaboratively with data scientists, data engineers and other technical people including

pricing teams in order to help support maturation of analytics practice within the organization. · Work closely with other members of the data and analytics community at Hiscox, contributing to

delivering value though the use of a range of analytics techniques.

· Over the next 18 months you will be working with the Major Property team to accelerate the

adoption of a variety of data science techniques to our day-to-day underwriting.

Person Specification:

· Experience of data science, advanced analytics or a genuine interest to learn.

· Experience of data science / data analysis in a commercial capacity.

· Experience in developing predictive and prescriptive analysis (predictive modelling, machine

learning or data mining) used to draw key business insights and clearly articulate findings for target audience.

· Experience with analytical tools / programming languages and databases (for example: R, Python

and SQL).

· Interest in a variety of machine learning techniques from simple linear models and random forests to deep learning.

Nice to have:

· Degree in a STEM or closely related field.

· Experience of data science in finance, insurance or Ecommerce is an advantage but not required.

Skills:

· Knowledge of insurance, especially Lloyd’s and/or property insurance is an advantage but not

essential.

Rewards

On top of a competitive salary, we also offer a wide range of benefits.

• 25 days annual leave plus two Hiscox days

• 4 week paid sabbatical after every 5 years of service

• Company and personal performance related bonus.

• Contributory pension. Other benefits include:

• Money towards gym membership.

• Christmas gift.

• 4 x life insurance.