Data Scientist - Anti-Money Laundering Analytics & Modeling
PNC Financial Services Group
Pittsburgh, PA · Posted October 20, 2026
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Where Pittsburgh, PA ranks
Where Pittsburgh, PA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #2Best all-round cities for new graduates in the Northeast66 / 100 · of 26
- #3Best cities for software and engineering jobs in the Northeast327 openings · of 52
- #3Best all-round cities for new graduates in the Mid-Atlantic65 / 100 · of 37
- #4Cities with the most jobs that do not need a four-year degree in the Northeast154 jobs · of 36
- #4Cities with the most jobs that do not need a four-year degree in the Mid-Atlantic154 jobs · of 47
- #4Cities hosting the most business conferences in the Northeast14 conferences · of 9
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
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Pay compared with the market
This listing does not state pay. Across 214 open data scientist listings that state pay, the middle half runs $127,000 to $175,000 and the median is $151,500.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among data scientists, AI is already used for a large share of the tasks. Measured exposure for data scientists: 46% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
About the job
We are seeking a Data Scientist to join our Anti-Money Laundering Analytics & Modeling team, focusing on building statistical models to detect and monitor suspicious account activity. You will collaborate with stakeholders to identify risk indicators and recommend improvements. Ideal candidates have experience in data science and a strong background in statistical analysis.