rouka · compensation intelligenceBenchmark set 6.2 · September 20265,192 roles · 140 regions · 10 sectors
rouka

Fintech & Corporate Finance · Director · 8 to 13 years typical

Principal Data Scientist (Fintech) Salary

Annual base compensation, national and by market, from 257 named sources. Every figure below says where it came from.

National band · annual base
$175,000
P25
$210,000
P50 · median
$250,000
P75
$290,000
P90
MODELED
rouka methodology. Compensation surveys named on the Sources page. Benchmark set version 6.2, September 2026.
By market
MarketMultiplierP25P50P75P90
New York City, NY1.40×$245,000$295,000$350,000$405,000
San Francisco, CA1.30×$230,000$275,000$325,000$375,000
Boston, MA1.25×$220,000$265,000$315,000$365,000
Palm Beach, FL1.25×$220,000$265,000$315,000$365,000
Miami, FL1.23×$215,000$255,000$305,000$355,000
Los Angeles, CA1.20×$210,000$250,000$300,000$350,000
Washington, DC1.20×$210,000$250,000$300,000$350,000
Seattle, WA1.15×$200,000$240,000$290,000$335,000
Chicago, IL1.05×$185,000$220,000$265,000$305,000
Dallas, TX1.00×$175,000$210,000$250,000$290,000
MODELED
Regional multipliers applied to the national band and rounded to the nearest $5,000, the same arithmetic the Brief uses. rouka methodology. Compensation surveys named on the Sources page. Benchmark set version 6.2, September 2026.
Market
Candidate market
Very Tight
Scarcity 8 of 10
MODELED
rouka methodology
Candidate pool
25 to 60
active nationally
ESTIMATED
rouka search records
Demand
Growing
9% year over year
ESTIMATED
rouka search records
Retention
3.4 yrs
average tenure, 21% annual turnover
ESTIMATED
rouka search records
The package
Base64%
Bonus, performance-based20%
Benefits16%
Signing bonus, in 48% of offers$30,000 to $70,000

Time to fill 32 weeks for comparable searches, estimated from rouka's benchmark set.

Market trend

Data science salary reports for 2025 show senior data scientists and ML engineers frequently in the 175k-230k+ band in the US, with fintech and AI roles at the upper end.

Also known as
Principal Data ScientistLead Data Scientist (Fintech)Staff Data Scientist – FintechPrincipal ML Scientist – Risk/FraudPrincipal Data Scientist – Credit/Payments

What does a Principal Data Scientist (Fintech) do?

The Principal Data Scientist (Fintech) operates within fintech companies, financial services firms, and corporate finance functions, building financial products, managing compliance, or driving operational growth. Professionals in this role typically bring 8 to 13 years of relevant experience. Classified at the Director level, this position draws from a very tight candidate market with an estimated pool of 25-60 qualified professionals, making targeted sourcing and competitive compensation critical for successful placements.

What drives Principal Data Scientist (Fintech) compensation?

The median (P50) compensation for a Principal Data Scientist (Fintech) is $210,000, with the 25th to 75th percentile range spanning $175,000 to $250,000. Pay variation across this range is primarily driven by company stage and funding (startup vs. growth vs. public), regulatory complexity, geographic market, technical specialization (payments, lending, crypto, regtech), and equity compensation structure. Demand for this role is trending upward with 9% year-over-year growth, which is putting upward pressure on compensation at all levels.

Principal Data Scientist (Fintech) career path

Professionals who move into Principal Data Scientist (Fintech) roles most commonly come from traditional banking, management consulting, software engineering, regulatory bodies, or corporate finance at public companies. From this position, the typical trajectory leads toward C-suite positions at fintech firms, VP-level roles at larger financial institutions, or founding their own financial technology venture. The average tenure in this role is approximately 3.4 years, with an annual turnover rate of 21%.

Related roles · Fintech & Corporate FinanceMedian
Principal Data Scientist (Fintech)$210,000

Hiring a Principal Data Scientist (Fintech)?

A search playbook for this seat: compensation positioning against the band above, the sourcing map, and the interview framework.