Data Scientist

We're looking for a hands-on Data Scientist to develop and deliver deep learning-powered features supporting insurance pricing and product innovation at Liberty Mutual. This role focuses on building robust, scalable feature pipelines-especially from complex data sources like aerial imagery-and bringing them into production to solve real business problems. You'll work with a small, high-performing team to turn deep learning models into practical, production-ready features used across multiple insurance products. If you have experience in computer vision, scaling data science solutions, and delivering tangible business value, this is an exciting opportunity to contribute from development through deployment., + Research and develop solutions to complex business problems, working with large, unstructured datasets.

• Apply various exploratory data analysis techniques and processes to these datasets, including entity resolution at scale and graph-based fraud detection.
• With support from senior data scientists, play a lead role in the delivery of high-quality products, solutions, models, and/or algorithms in a timely manner.
• Make considerations between technical perfection and business outcome in the delivery of solutions.
• Partner with senior business stakeholders and Product Owners to fully understand your customers and align your work to their requirements.
• Communicate complex concepts to stakeholders in a clear and accessible manner.
• Compare and contrast different statistical programming languages, tools, and packages to make informed decisions on what technologies to use to meet the business requirements.
• Ensure accuracy through the implementation of a variety of approaches and mechanisms in line with best practices.
• Develop best practices for the team and coach other team members on areas such as style, documentation, and code management.
• Grow your knowledge in all components of the Data Science life cycle.
• Seek opportunities for you and your team members to share and celebrate what you've achieved through internal tech talks, blogging, and external events.

• A third level degree is a STEM related subject.
• Professional Python Development Experience: Minimum 1-3 years of hands-on experience using Python in a professional setting (beyond academic coursework). Strong proficiency in writing clean, efficient, and maintainable code.
• Collaborative Coding Practices: Proficient in using Git for version control within a collaborative development environment. Experience with pull requests, code reviews, and branch management in team settings.
• Independent Work Ethic: Demonstrated ability to work independently and take initiative, especially in distributed teams across multiple time zones.
• Communication and Problem-Solving: Strong analytical and debugging skills, with the ability to clearly communicate technical decisions and collaborate across disciplines., + Familiarity with MLflow for tracking experiments, managing model lifecycle, or deploying models.
• Experience with AWS services such as S3, EC2, SageMaker, Lambda, or similar tools for model deployment and data pipelines.
• Computer Vision Expertise: Practical experience or exposure to modern computer vision models and techniques such as ResNet, YOLO, Vision Transformers (ViTs), or similar. Solid understanding of image processing workflows, deep learning pipelines, and model evaluation.

• Feel safe and secure whatever life brings, with health insurance (including 24/7 access to a digital doctor), life assurance, and income protection.
• Enjoy both today and tomorrow with employee discount schemes, annual bonuses, and a competitive pension.
• Protect your wellbeing with flexible working and a real work-life balance. Specifically, we have adopted a hybrid and in-office working culture, meaning you have ultimate flexibility in your work environment.
• Grow yourself, your career and reputation through continuous learning, promotion opportunities and our generous recognition programme.