Data Scientist focusing on deep learning to innovate underwriting models and improve servicing products. Collaborates with tech partners to develop solutions using advanced data techniques and large language models.
Responsibilities
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
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