Staff Data Scientist building complex analytics models for underwriting and operations at Travelers Insurance. Collaborating with teams to enhance risk segmentation and streamline decision - making processes.
About the role
- Develop new deep learning approaches to advance our current underwriting models, which form the heart of our lending business.
- Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation.
- Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs).
- This collaboration will help provide seamless experiences for our customers and associates.
- Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions.
- Work cross-functionally on projects that support key business initiatives and drive sustainable growth.
Requirements
- Experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers.
- Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.
- Familiarity with both pre-training and fine-tuning of large-scale models.
- Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques.
- A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation.
- Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies.
- Ability to communicate findings to a diverse business focused audience, influencing others in both verbal and written form.
- A drive for continued learning through an internal and external focus, in order to develop enterprise and industry leading solutions.
Benefits
- Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance – with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave
- Open-plan workspaces and accessible facilities designed to inspire and support you.
- Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms.
- In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café
Job title
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