Principal Data Scientist

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 mostplex data science initiatives, epassing:

o Strong understanding of intricate business challenges and translation into technical problem statements.

o Working with diverse datasets, both internal and external.

o 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 analyticsmunity 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 themercial 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 (,puter Science, Statistics, Mathematics, Physics, Engineering) or equivalent.

• Extensive professional experience in data science, with a proven track record of technically leading and successfully deliveringplex, 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 evaluatingmercial 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 (, version control,prehensive testing, modular code) relevant to data science product delivery.

• Ability to articulateplex 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 (, 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) orputer Vision, relevant to business solutions.

• Solid understanding of foundational statistics and experimental design.

• Familiarity with or experience on cloud platforms

Impact 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 significantmercial value, quantifiable business growth, or efficiency gains across the organization.

• Translateplex data science insights into tangible, measurable improvements across critical business processes and key performance indicators, ensuring the real-world adoption and beneficial oues 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 Job ID R0017751