Lydia AI is an applied artificial intelligence company on a mission to protect the health and prosperity of the next billion people. The Company offers a digital risk scoring engine that enables businesses to enhance their customers’ financial portfolios through personalized, embedded financial products. The Company uses digital alternative data to make accurate dynamic risk predictions that are used to personalize and automate underwriting.

Join us to help insure the next billion people!

Who We’re Looking For

You are an individual with outstanding analytical abilities, firm understanding of machine learning, and creativity to take new approaches in solving problems. Our new Data Scientist will focus on maximizing the usability of large healthcare datasets presented in different languages, formats and recorded variables to train machine learning models.

This is an opportunity to use advanced quantitative and statistical analysis techniques to solve some of the most complex challenges facing machine learning adoption in the global healthcare sector.

As a Data Scientist, You Will

Develop data collection plans and ensure integrity of data collected through all stages of acquisition and processing (e.g. ground truth generation, normalization, and transformation).
Quantitatively test hypotheses about data used to create models that increase the performance of predictive models.
Combine expert knowledge of statistical methodology and analysis with advanced programming skills to perform exploratory data analysis to uncover patterns in user’s health and activities.
Train ML models on structured, unstructured and time series data coming from electronic health record (EHR) systems, insurance claims, and wearable devices.
Contribute to data quality control, model validation and model explainability investigation.

Qualifications

Graduate degree (MS or equivalent) or higher in a quantitative field such as Mathematics, Statistics, Biostatistics, Computational biology or Medical Sciences.
At least one (1) year of experience working with health data, such as electronic health records (EHR), lab tests, prescriptions, tabular health data, insurance claims, or risk data.
Experience with SQL and NoSQL databases.
Programming experience in Python; knowledge of standard data analysis tools (for example Pandas); programming experience in Typescript/Javascript or experience with other analytics software (R, SAS, STATA, MATLAB, Mathematica) is a plus.
Familiarity with machine learning frameworks and libraries.
General knowledge of building AI/GenAI systems.
Familiarity with data structures, data modeling, and software architecture.
Creative in finding new solutions as well as designing innovative methods, systems, and processes.
Ability to conduct independent research.
Experience in actuarial science, insurance, or fintech is a plus.
Good interpersonal and communication skills.

Job Type

Permanent Full-time (40 hrs. per week)
Remote but able to meet up with the team once a month in Toronto. (Note: Travel expenses for team meetups will not be covered.)

At Lydia AI, diversity is mission critical. Our strength lies within our differences and in a diverse workforce that unleashes new ideas and perspectives. We celebrate diversity, equity, and inclusion in our workforce and foster a culture where all team members feel valued, respected, and supported.

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