Role Title: Analyst I/ II, Data Science
Department: Data Science
Location: London
Type: Permanent
About the Role
The Liberty Mutual, Global Risk Solutions, DSS is seeking a Senior Data Scientist within the Liberty International business team focusing on Speciality. This team is responsible for solving complex international speciality insurance problems with analytics insights and AI models that deliver business value. The team is looking for a passionate individual who is full of curiosity, open to new ideas, and willing to fail fast and embrace a culture of experimentation.
This individual will join our Agile team and play an essential role in building out in-house AI/ML capabilities and be involved in the end-to-end product cycle, from ideation to model development/deployment to field implementation. Typical projects would involve the following:
Design and develop advanced deep learning models to aid AI insights for the UW , Claims and business development domains Design and fine-tune large language models to glean valuable insights from different kinds of unstructured data. Develop and adopt the best-in-class MLOps best practices throughout the data science lifecycle This level reflects solid knowledge of predictive analytics techniques, while continuing to learn how to apply emerging AI techniques and architectures to solve evolving business needs.
Key Responsibilities
Applies knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions. Buildout in-house AI/ML products with other team members, including data scientists, IT developers, and business stakeholders Research and develop NLP and other AI/ML models including LLMs, VLMs and GenAI applications to improve risk selection and pricing. Identifies and tests hypotheses, ensuring statistical significance, as part of building and developing predictive models for business application. Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data. Enables the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes. Customizes analytic solutions to specific client needs. Responsible for smaller components of projects of moderate-to-high complexity. Regularly engages with the data science community and participates in cross-functional working groups.
Skills and Experience
Solid knowledge of predictive analytics techniques and statistical diagnostics of models. Advanced fluency in Python programming including model deployment. Cloud deployment experience will be a plus. Advanced knowledge of SQL and data wrangling is required. Ability to demonstrate industry experience taking problems and translating them into analytics / data science solutions is a plus. Advance knowledge of predictive toolset; expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Has a value-driven perspective with regard to understanding of work context and impact. Master’s degree in Computer science ,Data science or bachelor’s degree in Computer science , math statistics or data science.
About Liberty Specialty Markets (LSM)
Liberty Specialty Markets is part of Liberty Mutual Insurance Group, a leading global insurer. We offer a breadth of world-class insurance and reinsurance services to brokers and insureds in all major markets.
Our people are key to our success. That is why "Put People First" is one of the five Liberty values which unite us as a global organisation. We bring this to life for our colleagues through:
Offering a vibrant and inclusive environment and committing to their career development. Promoting diversity, equity and inclusion (DEI). Our Inclusion Matters framework and employee-led networks strengthen the diversity of our workforce and our inclusive environment. Reinforcing that collaborating together to share our unique perspectives help us make better decisions, deliver innovative solutions and pursue our ambitious goals. A supportive culture, which includes promoting a healthy work-life balance and working flexibly.
