Offer summary

Qualifications:

Graduate degree in a quantitative field or equivalent experience in Computer Science, Information Technology, or Data Analytics., Proficiency in Python and experience with cloud computing platforms like Azure., Expertise in deep learning, transfer learning, and generative algorithms., Experience in the insurance industry with Natural Language Processing and Computer Vision is preferred..

Key responsibilities:

Deliver production quality solutions for data extraction and classification tasks.

Explore data programmatically and convey insights to colleagues.

Label and validate datasets using both manual and AI-driven methods.

Collaborate with cross-functional teams to develop effective solutions for business problems.

Job description

Job Description

The ideal Senior Data Scientist candidate for this role will have insurance industry experience with Natural Language Processing (NLP) and perhaps Computer Vision (CV) especially applied to data extraction problems. They will be skilled in transfer learning and possess an understanding of and capability in Deep Learning (DL). They can perform work in each of those areas by leveraging a cloud environment like Databricks on Azure with Python in a notebook and IDE environment with version control leveraging git. They can navigate API based generative AI models like those from OpenAI to develop solutions. They can perform these tasks collaboratively, transparently, and seek to improve the skill of the team overall.

Responsibilities:

Deliver production quality solutions for data extraction, classification, triaging, routing, search, etc.
Programmatically explore data, derive insights that are statistically sound, and convey findings to colleagues of varying sophistication
Label and validate datasets of various sizes, using manual methods as well as programmatic and AI driven approaches
Evaluate the performance of models and solutions-as-a-whole on practical and statistical benchmarks
Collaborate with other scientists, engineers, product owners, and business customers to develop solutions that meet the business problem
Create, contribute to, improve, and convey technical and non-technical documentation of solutions

Qualifications

Required Skills:

Experience applying quantitative methods in a corporate environment
Experience with Python from a functional programming paradigm, able to manage dependencies, virtual environments, and version control in git
Experience with cloud computing platforms such as Azure
Expertise in supervised learning and unsupervised learning along with experience in deep learning and transfer learning
Experience with generative algorithms (e.g., GAN, VAE, etc.) as well as foundation models (e.g., GPT-4o, SAM, Mistral)
Experience developing solutions from inception through deployment

Desired Skills:

Graduate degree in a quantitative field
Experience with sequential algorithms (e.g., LSTM, RNN, GRU, etc.)
Experience evaluating ethical implications of AI and considerations around controlling them