Data Scientist vs Financial Analyst
Data Scientist earns more at the mid level — $110 000 – $145 000 versus $95 000 – $130 000 in the US (Source: Habr Career, Glassdoor 2025), about 13% more.
At a glance
| Data Scientist | Financial Analyst | |
|---|---|---|
| Salary comparison | $110 000 – $145 000 | $95 000 – $130 000 |
| Training Duration | 9–24 months | 4–12 months |
| Job Search Duration | 4–12 months | 3–8 months |
| English Level | B2 — for reading research papers and working with international teams | B1–B2 — for international markets, IFRS reporting, and working with English-language data and tools |
| Education | Bachelor's in STEM is typical — a strong portfolio compensates for a missing degree | Bachelor's degree preferred (finance, economics, or business) — but a working financial model and cases with measurable results matter more |
| Demand Trend | High Demand | Growing |
Picking a direction is the easy part, so weigh one more thing. Access platforms sell access. You pay to open a catalog of courses, and completing one earns a certificate of completion. In August 2026, that subscription includes no week-by-week plan, no progress checks, and no result beyond the certificate itself. That gap just became a policy question. New York City banned generative AI for students through eighth grade in September 2026: when software can write the assignment, the institutional answer so far is a ban rather than a new way to verify learning. An MIT committee reported in late August 2026 that AI can complete nearly any written undergraduate assignment, and recommended regular deadlines and feedback at every stage instead of relying on AI detectors. Traecta starts where access ends. Your personalized roadmap breaks the switch into weekly steps and checks your progress as you go. You finish with a portfolio employers can open.
Salary comparison
Data Scientist
United StatesSource: Habr Career, Glassdoor 2025
Financial Analyst
United StatesSource: hh.ru, BLS, Glassdoor 2025
Official US data (BLS)
Both roles have their own BLS page: Data Scientists (SOC 15-2051) and Financial Analysts (tracked as financial and investment analysts 13-2051 and financial risk specialists 13-2054). Median pay, percentile spread, and the 10-year outlook from each page:
| Data ScientistData Scientists (SOC 15-2051) · BLS OOH | Financial AnalystFinancial Analysts (SOC 13-2051, 13-2054) · BLS OOH | |
|---|---|---|
| Median annual wage | $120,230/yr (May 2025) | $103,570/yr (May 2025) |
| Lowest 10% | below $63,650 | below $63,720 |
| Highest 10% | above $194,410 | above $180,860 |
| Projected growth | +35%, 2025–35 | +7%, 2025–35 |
| Openings per year | ~24,800/yr | ~29,500/yr |
The Financial Analysts page reports the May 2025 cycle (group median $103,570: financial and investment analysts $102,740, financial risk specialists $117,330). The Data Scientists page now also reports May 2025 figures; its percentile bands remain from the May 2024 release. Sources: bls.gov/ooh, checked September 2026.
Skills compared
Data Scientist
Technical Skills
Soft Skills
Financial Analyst
Technical Skills
Soft Skills
Key differences
- Financial analysts use statistics and modeling to value investments and assess financial risk. Data scientists build predictive models and machine-learning systems to forecast behavior, automate decisions, and find patterns in large datasets.
- The Bureau of Labor Statistics lists data scientists among occupations similar to financial analysts — both are quantitative. The split is the toolset and goal: spreadsheets, statements, and valuation (financial analyst) versus Python, statistics, and machine learning (data scientist). A financial analyst who learns Python and statistics can move toward data science.
Which path should you choose?
At the mid level, Data Scientist tends to pay more than Financial Analyst — $110 000 – $145 000 versus $95 000 – $130 000 in the United States, according to Habr Career, Glassdoor 2025. So the choice between them usually comes down to entry threshold and timeline rather than money: Data Scientist typically takes 9–24 months to learn and roughly 4–12 more to land a first role, while Financial Analyst takes 4–12 and 3–8 months respectively.
If getting to market and earning sooner matters most, take the path with the shorter ramp. If you're willing to invest longer for a higher long-term ceiling, lean toward the role with the wider band. The skills and key-differences sections below show how close your existing background is to each option — and that fit, more than the salary number, is usually what makes the decision hold up.
If you're still early in the switch, the faster path has a real edge: it lets you validate the career change, start earning, and build a portfolio sooner, and that compounds — every month of delay is a month of senior-level pay you postpone. If you already have transferable experience, the higher-ceiling path rewards the deeper investment. The at-a-glance table above lays out the exact trade-off in months and pay, so match it against your own timeline and savings runway.
Can you move from finance into data science?
Yes, and it is a well-worn path. Finance graduates and analysts are a classic feeder into data science: you arrive with statistics, Excel modeling, and often SQL, which is most of the statistical base the role stands on. The BLS notes that data scientists at asset management companies may need finance industry experience or investment coursework, so your background can count as an asset rather than a gap.
What you add is the engineering and modeling layer: Python, machine learning, and a portfolio of projects that shows you can clean data and ship a model, not only interpret one. That difference is visible in the timelines above, 9–24 months of training for data science against 4–12 for financial analysis.
The practical route is a stepping stone, not a leap. A financial analyst who moves into credit risk, fraud, or portfolio analytics inside a finance company is already doing adjacent data science work, and from there the title change is small. Financial risk specialists, the BLS group that covers exactly this work, earn a May 2025 median of $117,330, close to the data scientist median.
Frequently asked questions
Go deeper
Data Scientist
Turn raw data into decisions that move the business forward. Data scientists combine statistics, programming, and domain expertise to find patterns others miss.
Financial Analyst
Financial analysts turn raw numbers into decisions — should we invest, expand, cut, or wait? Every budget that held, every deal that paid off, and every risk that was caught in time had an analyst reading the statements, modeling the outcome, and saying what the data meant in plain language.
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