Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead complex data science projects and mentor junior team members.
- Company: Join Hiscox, a leader in insurance, driving innovation through data science.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and collaboration.
- Why this job: Make a real impact by transforming business challenges into actionable insights.
- Qualifications: Bachelor's/Master's in a quantitative field and extensive data science experience required.
- Other info: Be part of a culture that values technical excellence and continuous learning.
The predicted salary is between 48000 - 84000 £ per year.
Principal Data Scientist page is loaded## Principal Data Scientistremote type: On-Sitelocations: UK, Londontime type: Full timeposted on: Posted 2 Days Agojob requisition id: R0018598**Job Type:**Permanent**Build a brilliant future with Hiscox**Position: Principal Data ScientistReporting to: Lead Data ScientistLocation: London / YorkType: PermanentBand: 3As a Principal Data Scientist at Hiscox, you will be an integral part of a dynamic technical team, strategically focused on leveraging data science across our diverse business functions. While your expertise will be pivotal in transforming our underwriting capabilities, your influence will extend across the entire insurance value chain, championing a multi-disciplinary approach to complex problem-solving.You will lead the end-to-end delivery of our most significant and complex data science initiatives, driving technical strategy, architecture, and best practices. You\’ll be a key driver in defining and upholding technical standards, ensuring the development of robust, scalable, and high-quality solutions that enable fast, impactful delivery to stakeholders. Beyond project leadership, you will act as a crucial mentor and coach, fostering technical growth and expertise among junior and mid-level colleagues, elevating the overall capability of the team. Crucially, you will collaborate extensively with other disciplines to ensure a holistic view is considered, facilitating smooth delivery and maximising business value.Key Responsibilities:· Utilise industry standards, emerging methodologies, and empirical research to develop critical business inputs and assist leaders in innovating their approaches.· Technically lead the end-to-end delivery of our most complex data science initiatives, encompassing:. Strong understanding of intricate business challenges and translation into technical problem statements.. Working with diverse datasets, both internal and external.. Expert application and development of advanced machine learning or statistical modelling techniques to generate actionable insights and deliver measurable impact.· Provide hands-on technical mentorship and guidance to junior and mid-level data scientists, fostering best practices, elevating technical standards, and cultivating advanced skill development within the team.· Engage closely with other members of the data and analytics community at Hiscox to deliver value through various analytics techniques, sharing advanced knowledge and driving the adoption of robust analytical capabilities.· Design, implement and maintain robust technical frameworks for monitoring, evaluating and quantifying the commercial impact and efficiency of data science solutions, ensuring continuous value demonstration.Person Specification:To excel as a Principal Data Scientist, you will typically possess:· Bachelor\’s/Master\’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent.· Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering complex, impactful, and production-grade data science solutions.· A background in data science within finance or insurance is advantageous but not required.· Demonstrated 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.· Proven ability to design, implement, and maintain robust technical frameworks for evaluating commercial impact.· Proven ability to technically mentor data scientists, fostering best practices, elevating technical standards, and contributing to the overall technical growth of the team.· Strong understanding and practical experience with Agile development methodologies and software engineering best practices (e.g., version control, comprehensive testing, modular code) relevant to data science product delivery.· Ability to articulate complex technical findings and methodologies into clear, concise, and actionable insights for diverse audiences, effectively influencing technical and non-technical stakeholders to drive data-driven decision-making and solution adoption.· Demonstrable experience collaborating effectively with cross-functional teams (e.g., engineering, product, business stakeholders) to translate business challenges into robust technical requirements and ensure seamless delivery.Key Technical Skills:· 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.· Practical experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs), and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions.· Solid understanding of foundational statistics and experimental design.· Familiarity with or experience on cloud platformsImpact and Achievements:As a Principal Data Scientist, your success will be measured by your ability to:· 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.· 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.· Actively elevate the technical maturity and capabilities of the data science team by shaping and implementing industry-leading AI, data, and analytics techniques, methodologies, and engineering best practices.*Work with amazing people and be part of a unique culture*If you want to help build a brilliant future; work with amazing people; be part of a unique company culture; and, of course, enjoy great employee benefits that take care of your mental and physical wellbeing, come and join us. #J-18808-Ljbffr
Principal Data Scientist employer: Hiscox
Contact Detail:
Hiscox Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Scientist
✨Tip Number 1
Network with professionals in the insurance and data science sectors. Attend industry conferences, webinars, or local meetups to connect with potential colleagues at Hiscox. Building relationships can give you insights into the company culture and the specific challenges they face.
✨Tip Number 2
Showcase your technical skills by contributing to open-source projects or creating a portfolio of your work. Highlight any machine learning models or data science solutions you've developed, especially those that demonstrate your ability to solve complex business problems.
✨Tip Number 3
Prepare for interviews by familiarising yourself with the latest trends in data science, particularly in the insurance industry. Understanding how data science is applied in underwriting and risk assessment will help you articulate your value to Hiscox.
✨Tip Number 4
Be ready to discuss your mentoring experience. As a Principal Data Scientist, you'll be expected to guide junior team members, so prepare examples of how you've successfully mentored others and fostered a collaborative environment in previous roles.
We think you need these skills to ace Principal Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly any leadership roles or complex projects you've managed. Emphasise your technical skills in Python, machine learning, and statistical modelling, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, demonstrate your understanding of Hiscox's business challenges and how your expertise can address them. Use specific examples from your past work to illustrate your problem-solving abilities and your impact on previous teams.
Showcase Technical Skills: Include a section in your application that details your proficiency with tools and technologies relevant to the role, such as SQL, Generative AI, and cloud platforms. Highlight any experience you have with Agile methodologies and collaborative projects.
Prepare for Technical Questions: Anticipate technical questions related to data science methodologies and be ready to discuss your approach to solving complex problems. Be prepared to explain your thought process clearly, as translating technical findings into actionable insights is key for this position.
How to prepare for a job interview at Hiscox
✨Showcase Your Technical Expertise
As a Principal Data Scientist, it's crucial to demonstrate your deep understanding of machine learning and statistical modelling techniques. Be prepared to discuss specific projects where you've applied these skills, and how they led to measurable business outcomes.
✨Prepare for Complex Problem-Solving Scenarios
Expect to face intricate business challenges during the interview. Practice articulating how you would translate these challenges into technical problem statements, and be ready to outline your approach to solving them using data-driven methods.
✨Emphasise Mentorship and Team Collaboration
Highlight your experience in mentoring junior data scientists and fostering a collaborative environment. Share examples of how you've elevated coding standards and best practices within your team, as this is a key aspect of the role.
✨Communicate Clearly with Diverse Stakeholders
Your ability to translate complex technical findings into actionable insights is essential. Prepare to discuss how you've effectively communicated with both technical and non-technical stakeholders in previous roles, ensuring alignment between data science solutions and business needs.