Qureos Mentor

Hiscox

Hiscox is a diversified international insurance group known for its strong brand and financial stability. Headquartered in Bermuda and listed on the London Stock Exchange, the company aims to be a respected specialist insurer with a diverse portfolio across various products and geographies. Hiscox is committed to customer care and fostering strong relationships within the industry, while also focusing on growth and innovation in the insurance sector.

<div>
 
 Job Type
 
 
 
 Permanent
 
 
 
 Build a brilliant future with Hiscox
 
 
 
 
 Reporting to: Re &amp; ILS Head of Data
 
 
 
 
 Location:
 
 London
 
 
 Type: Permanent
 
 
 
 Role Overview
 
 
 
 The Lead Data Scientist is a crucial member of the
 
 extended
 
 RE&amp;ILS Tech Leadership Team, responsible for building, leading, and nurturing a highly capable (New)
 
 Data Science and Machine Learning
 
 chapter.
 
 
 This role facilitates the successful delivery of new AI Cloud-based solutions against our growing list of business use cases (involving complex Data Analytics, Machine Learning, and AI Agent based solutions).
 
 
 You will co-lead the new Data Science chapter with the RE&amp;ILS Head of Data and help ensure its members provide Data Science capabilities and insights to support decision-making across RE&amp;ILS strategic Value Streams. Whilst the chapter grows, you are expected to be
 
 hands-on
 
 actively helping to architect, design, and build AI or Data Science-based solutions, using internally trained models, LLMs and/or a combination of both.
 
 
 Whilst undertaking this pioneering work it is essential that you and your entire chapter operates within the boundaries of the
 
 Group AI Governance Framework
 
 and maintains rigorous data governance standards. You will be accountable of this adherence.
 
 
 This is likely to be your first managerial role and the first time you have had one or more direct reports &ndash; having previously been a Senior Data Scientist or Machine Learning Engineer yourself. In this role you will be responsible for the management of a 1 to 4 junior and mid-level Hiscox FTEs and Partner resources too. You will be expected to support the Head of Data with attracting and retaining the best talent; helping to manage their career progression and ensure they are highly engaged, find the work fulfilling, and have the ability to rapidly deliver value to the business. As this is likely to be your first managerial role you will be supported and guided by other Data Leaders &ndash; Head of Data and the Hiscox Group Head of Data Science as well.
 
 
 
 About Hiscox Re &amp; ILS
 
 
 
 Hiscox Re &amp; ILS is located in
 
 Bermuda and London
 
 and underwrites reinsurance risks from around the world on behalf of our own and other people&rsquo;s capital. The team of over 100 smart, enthusiastic individuals are committed to providing top quality service to brokers and clients across a broad range of reinsurance products. Our approach is simple; match the best underwriting risk against globally diversified capital. Our proactive, product-led underwriting approach is complemented by a commitment to world class service and purpose-built analytics and systems. We know our people are our biggest asset so finding and retaining the best talent is critical to achieving our vision.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Chapter Leadership &amp; Talent Management
 </li>
 <li>
 People Management: Lead, recruit, mentor, coach, train, and retain a high-performing chapter of Data Scientists and Machine Learning Engineers (expected to grow to over the next few years), including both Hiscox FTE and Partner colleagues. Inspire chapter members to be curious, embrace new ideas, and nurture psychological safety to help build a high-performance culture.
 </li>
 <li>
 In this role you will manage at least one to two Hiscox data scientists and some partner resources too. You will be expected to manage their performance with relevant PDRs and help to calibrate their overall performance ratings with other people managers in the team. You will work with the Head of Data and Group Head of Data Science to help tailor the training needs to suit each individual and ensure they have the opportunity to grow and progress in their chosen career paths.
 </li>
 <li>
 Culture &amp; Development: Cultivate a collaborative, engaged, and fulfilled team culture. Provide technical leadership, career guidance, and direction to the team, ensuring successful delegation to all chapter members.
 </li>
 <li>
 Best Practice: Ensure the chapter adheres to best practices in data science, AI, and complex analytics, sharing knowledge across the wider Hiscox Analytics and Data community through active participation in Communities of Practice.
 </li>
 <li>
 Mentoring: Mentor and educate others in the various data science techniques, encouraging the team to continually learn &ndash; especially supporting the adoption of LLMs and proprietary models that could significantly accelerate our ability to deploy value.
 </li>
 <li>
 Solution Delivery &amp; ML Ops Excellence
 </li>
 <li>
 Hands-On Architecture: Get hands-on to help architect, design, and build complex models that integrate into existing IT solutions to improve data-driven decision-making throughout the Reinsurance Value Chain. Ensure you and your chapter members work closely with Platform Engineers and Architects to create the most optimal and safe solutions.
 </li>
 <li>
 ML Ops Platform: Actively work with the Head of Platform Engineering to establish and maintain a professional ML Ops platform to facilitate the effective support of developed models in production. This includes embedding a rigorous model evaluation process, ensuring consistent model refresh/rebuild capabilities due to model or data drift, and implementing effective monitoring and alerts against rogue behaviour.
 </li>
 <li>
 Speed of Execution: Empower the chapter to work effectively within autonomous squads, delivering desired and valuable outcomes in an incremental manner while correctly balancing accuracy, fast return on investment, and reliability. Understand when to move on and fail fast &ndash; as a lot of AI use cases will be highly experimental in nature with no guarantees of success.
 </li>
 <li>
 Pipeline Collaboration: Work with Data Engineering and other teams to properly understand and contribute to the requirements and building of necessary data pipelines/products consumed by our models.
 </li>
 <li>
 Strategy, Governance &amp; Innovation
 </li>
 <li>
 Use Case Identification: Continually work with key business leaders, the Head of Data and key stakeholders to identify new use cases and opportunities where data science/AI can deliver a competitive advantage or reduce waste/costs through efficiency gains.
 </li>
 <li>
 Governance &amp; Compliance: Champion data and model governance, working within the Group AI Governance Framework. Ensure a mature understanding of data governance, lineage, and version control, and enforce data privacy by design in all new work.
 </li>
 <li>
 Innovation: Maintain a strong awareness of new trends and techniques in Data Science, AI, and Machine Learning. Drive the identification of innovative data solutions and technologies, and actively undertake Proof of Concepts and R&amp;D to deliver reliable insights and potential next steps quickly.
 </li>
 <li>
 Communication: Ensure clear and effective communication of data science solutions and outcomes across business layers, technical teams, and senior leadership.
 
 
 
 </li>
 </ul>
 
 Required Experience And Structure
 
 
 
 <ul>
 <li>
 Reporting: Reports into the RE&amp;ILS Head of Data with a dotted line into the new Group Head of Data Science.
 </li>
 <li>
 Direct Reports: Direct line management for Data Scientists and Machine Learning Engineers within the RE&amp;ILS Data Science Chapter.
 </li>
 <li>
 Key Partners: RE&amp;ILS CTO, Group Head of Data Science, RE&amp;ILS Head of Data, Product Managers, Product Owners, and strategic partners (e.g. Google Cloud, Microsoft).
 
 
 
 </li>
 </ul>
 
 Candidate Profile
 
 
 
 The successful candidate will be an energetic, highly capable, and passionate Senior Data Scientist who wants to move into their first people management role. You will need to balance technical expertise with effective people management and strategic business partnership. You must be comfortable working in an FCA-regulated business, advocating for a data-driven approach, and driving innovation while maintaining rigorous AI governance standards. You will have a strong determination and resilience and not fear failure or the inevitable setbacks often found in highly experimental work.
 
 
 
 Main Experience Required Is
 
 
 
 <ul>
 <li>
 Deep Interest in Leadership: As an experienced data scientist or machine learning engineer, has previously demonstrated excellent traits in mentoring and coaching more junior team members and has been happy to invest in them - clearly demonstrating they care about other peoples&rsquo; career progression. Also you can evidence some successful business outcomes that you personally drove forward using advanced Data Science/AI &ndash; as this most likely is your first leadership role.
 </li>
 <li>
 Technical Depth: Extensive "hands-on" experience in architecting, designing, and building complex ML models, with a strong understanding of cloud services and the AI/ML/LLM ecosystem.
 </li>
 <li>
 ML Ops Maturity: Proven ability to build, maintain, and support production-deployed models, including establishing effective monitoring, evaluation, and refresh processes.
 </li>
 <li>
 AI and Data Governance: Mature understanding of AI and Data governance - data obfuscation &amp; data privacy laws, data version control, data lineage, and the application of AI governance frameworks in a regulated environment.
 </li>
 <li>
 Stakeholder Management: Experience in managing and driving collaboration with business unit leaders (Underwriters, pricing teams, MI team) and external technology partners like Google Cloud, Snowflake, DataIku and Microsoft.
 </li>
 <li>
 Education: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent.
 </li>
 <li>
 Capacity for independent, high-quality research and exploratory data analysis, with the ability to develop and apply novel methodologies to solve ill-defined and challenging business problems.
 </li>
 <li>
 Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures.
 </li>
 <li>
 Real world experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs), AI Agents and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions.
 </li>
 <li>
 Demonstrate a Solid understanding of foundational statistics and experimental design. Pioneer the development and robust deployment of highly impactful machine learning and AI-driven solutions, directly contributing to significant commercial value, quantifiable business growth, or efficiency gains across the organization.
 </li>
 <li>
 Ability to translate complex data science insights into tangible, measurable improvements across critical business processes and key performance indicators, ensuring the real-world adoption and beneficial outcomes of our analytical work.
 </li>
 <li>
 Ability to elevate the technical maturity and capabilities of the data science chapter by shaping and implementing industry-leading AI, data, and analytics techniques, methodologies, and engineering best practices.
 </li>
 <li>
 Educator: shown the ability to train and coach more junior and mid-level team members - ensuring they have excellent career progression and become high performers.
 
 
 
 </li>
 </ul>
 If you are a visionary expert looking for your first leadership role and ready to accelerate our value delivery and champion all things Data Science and AI, we invite you to apply for the position of Lead Data Scientist at Hiscox Re &amp; ILS. Join our team and be a catalyst for AI adoption in a dynamic, forward-thinking organization.
 
 
 
 Work with amazing people and be part of a unique culture
 
</div>

Lead Data Scientist

<div>
 
 Job Type
 
 
 
 Permanent
 
 
 
 Build a brilliant future with Hiscox
 
 
 
 
 Position: Senior Data Scientist
 
 
 
 
 Reporting to:
 
 Lead Data Scientist
 
 
 
 Location:
 
 London
 
 
 
 Type:
 
 Permanent
 
 
 As a Senior Data Scientist at Hiscox, you will take on a high-impact role, acting as a critical thinker and problem solver for the business. You&rsquo;ll apply your core technical skills and innovative thinking to tackle complex challenges, identify opportunities, and help shape data-driven decision-making across the London Market.
 
 
 You&rsquo;ll operate across a wide variety of business functions, managing multiple priorities and delivering both ad hoc analysis and predictive/prescriptive models. Your work will contribute directly to building Hiscox&rsquo;s data culture and enabling evidence-based decisions in a fast-paced, evolving environment. Communicating the business value of your analytical solutions to stakeholders will be a key part of your role.
 
 
 You&rsquo;ll be part of an award-winning team, recognised for its pioneering collaboration with Google to deliver the market&rsquo;s first AI-enhanced lead underwriting solution. This achievement reflects the team&rsquo;s commitment to innovation, impact, and excellence in applying data science to real-world insurance challenges.
 
 
 As a Data Scientist, you&rsquo;ll work within a wider technical team whose efforts span multiple business functions, bringing a multi-disciplinary approach to problem solving and analysis.
 
 
 This is an ideal role for someone who is passionate about using analytics to influence decisions and is keen to continue learning and delivering value through data. You&rsquo;ll be expected to conceptualise new approaches, communicate your vision clearly to stakeholders, and see ideas through to implementation.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Leveraging industry standards, past experience, emerging methodologies and empirical research to develop critical inputs to business information and helping business leaders develop innovative approaches to driving their business.
 </li>
 <li>
 Working on the end-to-end data solution including understanding complex business challenges, designing scientific solutions, working with 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
 </li>
 <li>
 Work collaboratively with data scientists, data engineers and other technical people including pricing and underwriting teams in order to help support maturation of analytics practice within the organisation.
 </li>
 <li>
 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.
 
 
 
 </li>
 </ul>
 
 Person Specification
 
 
 
 <ul>
 <li>
 Degree in a STEM or closely related field or equivalent experience. A further degree is a plus.
 </li>
 <li>
 Deep data science experience with a history of influencing decisions and delivering solutions that create tangible business value.
 </li>
 <li>
 Experience of data science in finance or insurance is an advantage but not required.
 </li>
 <li>
 Ability to conduct high quality research in a suitably timely manner working in both independently and in small teams as required by the task.
 </li>
 <li>
 Familiarity with version control, agile working and other IT delivery tools is required
 
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 <ul>
 <li>
 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.
 </li>
 <li>
 Experience with analytical tools / programming languages and databases (for example: Python, R, SQL).
 </li>
 <li>
 Experience with large language models and prompting, GCP experience is a plus.
 </li>
 <li>
 Interest in a variety of machine learning techniques from simple linear models and random forests to deep learning.
 </li>
 <li>
 A particular interest in natural language processing or machine vision.
 </li>
 <li>
 A strong grasp of foundational statistics is essential.
 </li>
 <li>
 Experience working both in small teams and independently on analytics projects.
 </li>
 <li>
 Strong verbal and written communications skills and effective presentation skills. This is absolutely essential since you will have a lot of exposure to different internal stakeholders.
 </li>
 <li>
 Willingness to learn best practice in software development.
 </li>
 <li>
 Knowledge of insurance is an advantage but not essential.
 
 
 
 </li>
 </ul>
 
 Apply now for further information
 
 
 
 
 Work with amazing people and be part of a unique culture
 
</div>

Senior Data Scientist

<div>Job Type:
Permanent
Build a brilliant future with Hiscox 
Position: Claims Examiner- 1st Party Property
Team: 1st Party Property
Band: I 
The Role:
The Claims Examiner adjudicates assigned claims within given authority and provides operational support to the claims team. This person also:<ul><li>
Adjusts and resolves moderate claims that includes all phases 1st Party commercial claims for our Property Team</li><li>
Accurately reviews and assesses coverage for all losses</li><li>
Completes full in depth investigations to confirm how coverage is relevant and applies it to the loss</li><li>
Manages smaller business income losses and the period of restoration</li><li>
Accurately documents claim files with all relevant claim documentation, correspondence and notes in compliance with company policies and applicable regulatory authorities</li><li>
Accurately assesses reserves for indemnity and expense payments</li><li>
With minimal supervision, drafts coverage letters, including reservation of rights and denial letters</li><li>
Drives 1st Party Best Practices to manage expense and exposure on losses</li><li>
Has a high level of customer service</li><li>
Identifies suspected fraudulent claims and tracks with special investigations unit</li><li>
Participates in Claims projects as needed</li></ul>
Requirements:<ul><li>
1+ years of 1st Party Commercial claims handling experience</li><li>
Advanced knowledge of claims analysis and adjusting practices</li><li>
In depth knowledge of standards for claims documentation</li><li>
Proven ability to actively and effectively negotiate settlement of moderate to complex claims</li><li>
Strong analytical skills</li><li>
Strong verbal and written communication skills</li><li>
Active insurance adjuster&rsquo;s license preferred</li><li>
B.A./B.S degree from an accredited College or University preferred</li></ul>
Additional Factors Considered:<ul><li>
Subject matter expertise</li><li>
Demonstrated take charge attitude and ability to work with minimal oversight within their authority levels</li><li>
Identifies and suggests improvements to processes within the claim department and raises with manager</li></ul>
The Team:
The US Claims team at Hiscox is a growing group of professionals working together to provide superior customer service and claims handling expertise. The claims staff are empowered to manage their claims within given authority to provide fair and fast resolution of claims for our insured and broker partners. With strong growth across the US business, the Claims team is focused on delivering profitability while reinforcing Hiscox&rsquo;s strong brand built on a long history of outstanding claims handling.
Hiscox Values:
At Hiscox our spirit is in Challenging Convention and everything we do is guided by our Values.<ul><li>
Courage: Dare to take a risk</li><li>
Ownership: Passionate, commercial and accountable</li><li>
Integrity: Do the right thing, however hard</li><li>
Connected: Together, build something better</li><li>
Human: Clear, fair and inclusive</li></ul>
What Hiscox USA Offers:<ul><li>
Competitive salary and bonus (based on personal &amp; company performance)</li><li>
401(k) with competitive company matching</li><li>
Comprehensive health insurance, vision, dental and FSA plans (medical, limited purpose, and dependent care)
</li><li>Company paid group term life, short- term disability and long-term disability coverage</li><li>
24 Paid time off days, 2 Hiscox Days, 10 paid holidays, and ability to purchase 5 PTO days</li><li>
Paid parental leave</li><li>
4 week paid sabbatical after every 5 years of service</li><li>
Financial Adoption Assistance and Medical Travel Reimbursement Programs</li><li>
Annual reimbursement up to $600 for health club membership or fees associated with any fitness program</li><li>
Company paid subscription to Headspace to support employees&rsquo; mental health and wellbeing</li><li>
Recipient of 2024 Cigna&rsquo;s Well-Being Award for having a best-in-class health and wellness program</li><li>
Dynamic, creative and values-driven culture</li><li>
Modern and open office spaces, complimentary drinks</li></ul>
**Please note that this position is hybrid and requires two (2) days in our office weekly**
Salary range: $70-$85k
The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment
#LI-RM1 
Work with amazing people and be part of a unique culture</div>

Claims Examiner - Property

<div>
 
 Job Type
 
 
 
 Permanent
 
 
 
 Build a brilliant future with Hiscox
 
 
 
 
 Principal Machine Learning Engineer
 
 
 
 
 Location:
 
 London/York
 
 
 
 Why Hiscox London Market
 
 
 
 Hiscox London Market sits at the centre of global specialist insurance, tackling some of the most complex and unusual risks in the world. These are not commoditised problems, they demand deep expertise, strong judgement, and increasingly, sophisticated data and machine learning capabilities.
 
 
 We have a strong track record of putting AI into real production use, from augmenting underwriting decisions to shaping future market standards through partnerships and market‑first innovation. This is an environment where advanced ML systems are expected to operate reliably, safely, and at scale, not remain in experimentation.
 
 
 You&rsquo;ll join a culture that values technical excellence, ownership, and courage, where senior individual contributors are trusted to set direction, challenge thinking, and build platforms that matter. For a Principal Machine Learning Engineer, this is a chance to work on high‑impact ML systems, influence how AI is adopted across the London Market, and help shape the future of insurance.
 
 
 
 Role Purpose
 
 
 
 As a
 
 Principal Machine Learning Engineer (MLE)
 
 , you bring a wealth of experience in building, scaling, and operating production machine learning systems, and use that experience to provide deep technical leadership across machine learning engineering and MLOps.
 
 
 You play a key role in shaping the architectural strategy for production ML systems and the ML Platform, working closely with Data Science, Engineering, and Platform teams to define patterns, standards, and tooling that enable reliable, repeatable delivery at scale. Through hands‑on contribution, design leadership, and technical mentorship, you help teams navigate complex technical decisions and build robust, maintainable systems.
 
 
 A central focus of the role is enabling the organisation to move quickly without sacrificing quality, evolving the ML platform, supporting the transition from experimentation to production, and helping teams adopt modern engineering practices. This includes championing the effective and responsible use of AI‑assisted development tools as part of a broader approach to improving developer experience, system quality, and long‑term sustainability.
 
 
 Success in this role comes from the practical application of deep experience, strong architectural thinking, and the ability to help others build better systems that deliver real business value.
 
 
 
 Key Responsibilities
 
 
 
 
 Technical Leadership &amp; Ownership (Individual Contributor)
 
 
 
 <ul>
 <li>
 Act as the technical lead for Machine Learning Engineering and MLOps across London Market.
 </li>
 <li>
 Technically lead the most complex and business‑critical ML systems, from architectural design through to production operation.
 </li>
 <li>
 Define and evolve production ML patterns and best practices, covering deployment, orchestration, monitoring, retraining, and decommissioning.
 </li>
 <li>
 Lead deep technical decision‑making, balancing scalability, reliability, security, and developer experience.
 </li>
 <li>
 Contribute hands‑on to critical systems, frameworks, and platform components where the complexity or impact demands it.
 </li>
 <li>
 Define best practices and guardrails for the use of AI‑assisted coding tools, ensuring they are used to improve productivity and code quality without compromising maintainability or operational safety.
 </li>
 <li>
 Lead by example in applying AI‑assisted development techniques (e.g. for prototyping, refactoring, and accelerating complex engineering work) with strong engineering judgement.
 
 
 
 </li>
 </ul>
 
 ML Platform Strategy &amp; Build‑Out
 
 
 
 <ul>
 <li>
 Partner closely with Group and Platform teams to design, build, and evolve the ML Platform, ensuring it supports:
 </li>
 <ul>
 <li>
 Reusable and scalable deployment patterns
 </li>
 <li>
 CI/CD for machine learning
 </li>
 <li>
 Full model lifecycle management
 </li>
 <li>
 Monitoring, observability, and alerting
 </li>
 <li>
 Secure and compliant operation
 </li>
 </ul>
 <li>
 Shape platform standards and interfaces that enable consistent ML delivery across squads and value streams.
 </li>
 <li>
 Lead technical spikes and proof‑of‑concepts to evaluate new tools, approaches, and architectural patterns.
 </li>
 <li>
 Influence developer tooling choices so that AI‑assisted coding tools integrate safely with CI/CD, testing, and governance workflows.
 </li>
 <li>
 Ensure the platform enables fast, safe experimentation while supporting robust, long‑lived production systems.
 
 
 </li>
 </ul>
 
 Governance, Reliability &amp; Commercial Impact
 
 
 
 <ul>
 <li>
 Ensure ML systems meet architecture, security, compliance, and operational standards.
 </li>
 <li>
 Define and implement robust frameworks for monitoring technical health, model performance, and commercial impact of ML systems in production.
 </li>
 <li>
 Champion operational excellence across ML services, including monitoring, alerting, incident management, and post‑incident learning.
 </li>
 <li>
 Ensure clear ownership and lifecycle management for models and ML‑backed services.
 </li>
 <li>
 Promote responsible use of automation and AI‑assisted tooling in safety‑critical or regulated contexts.
 
 
 
 </li>
 </ul>
 
 Collaboration &amp; Influence
 
 
 
 <ul>
 <li>
 Work closely with the Data Science team to ensure a smooth and repeatable transition from experimentation to production.
 </li>
 <li>
 Collaborate with software engineers, product managers, and business stakeholders to deliver end‑to‑end ML‑driven solutions.
 </li>
 <li>
 Act as a senior technical voice in design reviews, architecture forums, and strategic discussions.
 </li>
 <li>
 Influence technical direction and standards through expertise, credibility, and collaboration rather than line management.
 
 
 
 </li>
 </ul>
 
 Technical Mentorship &amp; Capability Development
 
 
 
 <ul>
 <li>
 Provide hands‑on technical mentorship to Machine Learning Engineers and Data Scientists.
 </li>
 <li>
 Raise engineering standards by sharing best practices, patterns, and lessons learned from real production systems.
 </li>
 <li>
 Coach teams on the effective and critical use of AI‑assisted coding tools, reinforcing the importance of code review discipline, testing, and long‑term maintainability.
 </li>
 <li>
 Contribute to technical hiring, assessment, and onboarding from a senior engineering perspective.
 </li>
 <li>
 Help shape long‑term capability by identifying gaps in tooling, skills, and platform maturity.
 
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 
 Experience &amp; Background
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related quantitative field (or equivalent experience).
 </li>
 <li>
 Extensive experience as a senior or principal Machine Learning Engineer delivering production ML systems at scale.
 </li>
 <li>
 Proven track record of owning or shaping ML platforms, MLOps frameworks, or critical ML infrastructure.
 </li>
 <li>
 Experience operating in complex, cross‑functional environments (insurance or financial services experience is advantageous but not essential).
 
 
 
 </li>
 </ul>
 
 Technical Expertise
 
 
 
 <ul>
 <li>
 Exceptional Python skills in a machine learning engineering context, with strong software engineering fundamentals (OOP, testing, design patterns).
 </li>
 <li>
 Deep experience building, deploying, and operating production ML systems, including:
 </li>
 <ul>
 <li>
 Online and batch model serving
 </li>
 <li>
 Monitoring, alerting, and observability
 </li>
 <li>
 Retraining and lifecycle management
 </li>
 </ul>
 <li>
 Strong understanding of core data science concepts, sufficient to:
 </li>
 <ul>
 <li>
 Review and challenge modelling approaches
 </li>
 <li>
 Ensure models are production‑ready and correctly evaluated
 </li>
 </ul>
 <li>
 Hands‑on experience with a major cloud platform (AWS, GCP, or Azure), including containerised deployments.
 </li>
 <li>
 Expert knowledge of MLOps and CI/CD, including:
 </li>
 <ul>
 <li>
 Git‑based workflows
 </li>
 <li>
 Infrastructure as Code (e.g. Terraform)
 </li>
 <li>
 Automated testing and deployment pipelines
 </li>
 </ul>
 <li>
 Strong operational mindset, including APIs, logging, monitoring, reliability, and incident response.
 </li>
 <li>
 Working knowledge of SQL and integration of ML services into wider data and application ecosystems.
 </li>
 <li>
 Experience using AI‑assisted coding tools in a production engineering context, with a clear understanding of their benefits, limitations, and risks.
 
 
 </li>
 </ul>
 
 Why Join Us?
 
 
 
 This is an opportunity to shape the future of machine learning engineering at Hiscox, build a high-performing sub-chapter, and influence strategic decisions, while staying close to the craft you love. You&rsquo;ll have the autonomy to set standards, mentor talent, and explore emerging technologies, all within a collaborative and forward-thinking environment.
 
 
 
 Work with amazing people and be part of a unique culture
 
</div>

Principal Machine Learning Engineer

<div>Job Type:
Permanent
Build a brilliant future with Hiscox 
Bring your Passion and Enthusiasm to this add to staff position on our Team! We&rsquo;re a fun, innovative and growing Claims team where you&rsquo;ll get the opportunity to learn multiple design-related insurance products and interact with business leaders across the organization. 
Please note this position is hybrid and requires working in office a minimum of two (2) days per week. Position can be based in the following locations:<ul><li>
Atlanta, GA</li><li>
Boston, MA</li><li>
Chicago, IL</li><li>
Manhattan, NY</li><li>
West Hartford, CT 
</li></ul>The Role:
The Senior Claims Examiner- Architects and Engineers adjudicates assigned claims within given authority and according to Hiscox Claims Best Practices. This person:<ul><li>
Adjusts and resolves low to moderate professional liability claims that include litigated matters</li><li>
Accurately documents claim files with all relevant claim documentation, correspondence and notes in compliance with company policies and applicable regulatory authorities</li><li>
Heavy customer facing role. Must have confident communication skills.</li><li>
Communicates effectively to resolve matters directly with claimants, and or claimant attorneys</li><li>
With minimal supervision, drafts coverage letters, including reservation of rights and denial letters</li><li>
Reviews and analyzes claims in order to determine appropriate and timely reserving per Hiscox Claims Best Practices</li><li>
Identifies emerging exposures and claims trends</li><li>
Manages defense counsel as necessary in defending litigated matters</li><li>
Identifies suspected fraudulent claims and tracks with Special Investigations Unit</li><li>
Participates in Claims Projects, as needed</li></ul>
The Team:
The US Claims team at Hiscox is a growing group of professionals working together to provide superior customer service and claims handling expertise. The claims staff are empowered to manage their claims within given authority to provide fair and fast resolution of claims for our insured and broker partners. With strong growth across the US business, the Claims team is focused on delivering profitability while reinforcing Hiscox&rsquo;s strong brand built on a long history of outstanding claims handling.
Requirements:<ul><li>
3-5 years of claims handling experience in Architects and Engineers or similar professional liability or specialty claims with an insurance carrier</li><li>
Advanced knowledge of claims analysis and adjusting practices; In depth knowledge of standards for claims documentation and legal filings</li><li>
Proven ability to actively and effectively negotiate settlement of moderate complexity claims</li><li>
Strong communication skills a must. This role is very customer facing including insureds, brokers, and internal and external business partners.</li><li>
Advanced analytical skills. Strong verbal and written communication skills. Active insurance adjuster&rsquo;s license</li><li>
B.A./B.S degree from an accredited College or University, required. JD a plus.</li></ul>
What Hiscox USA Offers:<ul><li>
401(k) with competitive company matching</li><li>
Comprehensive health insurance, vision, dental and FSA plans (medical, limited purpose, and dependent care)
</li><li>Company paid group term life, short- term disability and long-term disability coverage</li><li>
24 Paid time off days plus 2 Hiscox days,10 paid holidays plus 1 paid floating holiday, and ability to purchase up to 5 PTO days</li><li>
Paid parental leave</li><li>
4-week paid sabbatical after every 5 years of service</li><li>
Financial Adoption Assistance and Medical Travel Reimbursement Programs</li><li>
Annual reimbursement up to $600 for health club membership or fees associated with any fitness program</li><li>
Company paid subscription to Headspace to support employees&rsquo; mental health and wellbeing</li><li>
2024 Gold level recipient of Cigna&rsquo;s Healthy Workforce Designation for having a best-in-class health and wellness program</li><li>
Dynamic, creative and values-driven culture</li><li>
Modern and open office spaces, complimentary drinks</li><li>
Spirit of volunteerism, social responsibility and community involvement, including matching charitable donations for qualifying non-profits via our sister non-profit company, the Hiscox USA Foundation</li></ul>
**This position is hybrid and requires two (2) days in our office weekly**
Salary Range: $99-$124k
The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.
About Hiscox USA:
Hiscox USA was established in 2006 to focus primarily on the needs of small and middle market commercial clients, via both the broker and direct distribution channels and is today the fastest-growing business unit within the Hiscox Group.
Today, Hiscox USA has a talent force of over 400 employees operating out of several major cities - New York, Atlanta, Chicago, and West Hartford. Hiscox USA offers a broad portfolio of commercial products, including technology, cyber &amp; data risk, multiple professional liability lines, media, entertainment, management liability, crime, kidnap &amp; ransom, commercial property and terrorism.
#LI-RM1 
Work with amazing people and be part of a unique culture</div>

Senior Claims Examiner- Architects and Engineers