Lead Data Scientist responsible for data science and machine learning chapter at Hiscox. Facilitating delivery of analytics and AI solutions while mentoring team members.
Responsibilities
Working within the Group Data Science team as our Lead Data Scientist, you will be responsible for providing the business with a highly capable data science and machine learning chapter.
This important chapter 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 leadership team, you will lead and nurture our data science and machine learning team – ensuring we recruit, mentor, coach, train and retain talented members.
Requirements
Experience in a range of machine learning techniques and an understanding of when each tool is best used.
Strong Statistics capability.
Familiarity with a wide range of generative AI tools and methodologies including prompt/context engineering, RAG and building agentic toolsets.
Strong coding ability in python, with experience in other languages an advantage.
Enthusiasm for developing and mentoring junior talent.
Technical project leadership experience with experience of line management an advantage.
Provide Data Science tooling for the chapter that allows for effective documentation of prior experiments (repeatability and reproducibility), cross chapter collaboration and ability to experiment effectively with a choice of data science programming languages and use of notebooks where appropriate.
A Prototype, fail rapidly and iterate mindset to enable successful delivery.
Communicate change across the business to wider technical teams to gain insight and learning around data science solution
Benefits
Bonus
Contributory pension
25 days annual leave plus 2 Hiscox days
4 week paid sabbatical with every 5 years’ worth of service
Senior Manager, Data Scientist contributing to drug development at Bristol Myers Squibb. Utilizing statistical and computational methods to optimize processes and outcomes in clinical trials and biomarker research.
Clinical Data Scientist analyzing datasets from clinical studies of brain - computer interface technology. Collaborating across teams to drive insights into engineering processes and product design.
Data Scientist developing predictive models and data pipelines to enhance global higher education insights. Collaborating with teams to apply machine learning techniques and contribute to important analytical projects.
Senior Data Scientist at Spotify, driving music video supply data science initiatives. Collaborating with cross - functional teams and leading analytical projects with executive visibility.
Program Associate, Data Scientist supporting data - driven health projects in Cameroon. Focused on women's health and infectious diseases with statistical analysis and data visualization.
Manager/Sr Manager in Data Science role at analytics firm solving business problems. Leading teams and delivering robust analytical solutions for Fortune 500 companies.
Head of Clinical & Data Sciences overseeing clinical and data science strategy at a late - stage biotechnology company. Driving data - informed decision - making across the development portfolio and global submissions.
Data Scientist building machine learning features for a B2B SaaS AI platform. Involved in model training, pipelines, and delivering insights in Dubai's hybrid environment.
Data Scientist focusing on Speech Processing and Machine Learning technologies for Kyivstar. Involved in developing and optimizing models to enhance internal processes and client services.
Machine Learning Model Builder responsible for designing and implementing ML models at Kryptos Technologies. Collaborating with data science to solve business problems and innovate.