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Thought this was interesting. Across 160 teams of researchers, just about all failed to make good life outcome predictions on things like GPA, evictions, layoffs, and others. Data followed 4.5k families across 15 years, with 13k features (varied over time). Haven't looked at it directly yet, but will be turning the docs and data inside out... In the meantime, authors claim this as showing the limits of ML. Oh, and it's published in PNAS, so you know there's some big publication energy there.
https://www.pnas.org/content/117/15/8398
What is a data lake in basic terms?
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In my experience (not specific to BDO), there is not a lot of pure data science in forensic.
Most of the work is data analytics, typically in SQL. A lot of the work to do with disputes and loss quantification is more aligned to traditional structured data analytics. Internal fraud (e.g. accounting misstatements) you don’t have enough data points to train a model up to detect fraud. There is an application of data science for external fraud (e.g. credit card) but clients such as banks are unlikely to buy a model built by a consultant. There is also a potential use case for AML transaction monitoring, but the regulations are pretty prescriptive and clearly define the thresholds for suspicious transactions they would like to be reported.
I think this may change slightly in the future, but I would not go into the role thinking you’ll be building predictive learning models all day.