Data Scientist

Job Type:PermanentBuild a brilliant future with HiscoxPosition: Data ScientistReporting to: Lead Data ScientistLocation: YorkType: PermanentAs a Data Scientist at Hiscox, you will take on a high-impact role, acting as a critical thinker and problem solver for the business. You’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’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’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’ll be part of an award-winning team, recognised for its pioneering collaboration with Google to deliver the market’s first AI-enhanced lead underwriting solution. This achievement reflects the team’s commitment to innovation, impact, and excellence in applying data science to real-world insurance challenges.As a Data Scientist, you’ll work within a wider technical team whose efforts span multiple business functions, bringing a multi-disciplinary approach to problem solving and analysis.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 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* 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.* 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.Person Specification:* Degree in a STEM or closely related field or equivalent experience. A further degree is a plus.* Experience of data science, advanced analytics or a genuine interest to learn.* Experience of data science in finance or insurance is an advantage but not required.* Ability to conduct high quality research in a suitably timely manner working in both independently and in small teams as required by the task.* Familiarity with version control, agile working and other IT delivery tools is requiredSkills:* 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: Python, R, SQL).* Experience with large language models and prompting, GCP experience is a plus.* Interest in a variety of machine learning techniques from simple linear models and random forests to deep learning.* A particular interest in natural language processing or machine vision.* A strong grasp of foundational statistics is essential.* Experience working both in small teams and independently on analytics projects.* 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.* Willingness to learn best practice in software development.* Knowledge of insurance is an advantage but not essential.Apply now for further informationYou can follow Hiscox on LinkedIn, Glassdoor and Instagram (@HiscoxInsurance)Work with amazing people and be part of a unique cultureIf 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