Best Cities for Data Scientists to Work in 2026

A data scientist in Amsterdam takes home roughly the same monthly net pay as one in London — but spends around 25% less on rent. That single ratio quietly reshapes the savings math for thousands of professionals weighing a move. Location arbitrage isn't just a concept for remote workers; it's a concrete financial lever even when you're working on-site. This article breaks down which cities actually deliver on salary, cost-of-living balance, and career runway for data scientists — and which ones look good on paper until you run the numbers.

What Makes a City Worth Relocating to as a Data Scientist

Not every high-salary city is a high-savings city. The cities worth serious consideration score well across at least three dimensions simultaneously: gross compensation, post-tax take-home relative to local costs, and the density of roles that support career progression beyond individual contributor level.

CityVerdict scores cities across five indices — salary, cost, rent, opportunity, and lifestyle — all on a 0–100 scale. For data scientists specifically, the opportunity index carries particular weight. A city with a strong financial sector or a deep tech cluster will generate more senior DS roles, more specialised ML engineering paths, and more exposure to production-scale systems than a mid-tier market. The salary index alone misses that.

Three practical filters to apply before shortlisting a city:

• Cost-of-living ratio: Monthly gross salary divided by estimated monthly expenditure (rent, transport, food). Anything above 2.5× is worth a second look.
• Tax efficiency: Cities in lower-marginal-tax jurisdictions — or those with expat tax regimes — can swing net pay by 8–15 percentage points on the same gross.
• Role depth: How many senior, staff, and principal-level DS positions exist in the market? Entry-level saturation without upward mobility is a ceiling, not a market.

The Best Cities for Data Scientists to Work: A Tier-by-Tier Breakdown

Tier 1 — High compensation, strong opportunity density

San Francisco / New York (United States) According to the U.S. Bureau of Labor Statistics Occupational Employment and Wage Statistics (2024), the median annual wage for data scientists nationally sits at approximately $108,020, but senior practitioners in San Francisco and New York routinely earn $150,000–$200,000+ in total cash before equity. The opportunity index in both cities is among the highest globally. The catch is well-documented: San Francisco median one-bedroom rent exceeds $2,800/month (Zillow, 2024), and California's top marginal income tax rate of 13.3% compresses net take-home significantly. New York City adds a city-level income tax on top of federal and state obligations. Both cities reward specialists — particularly those with ML engineering, NLP, or large-scale infrastructure backgrounds — but the cost-of-living ratio rarely exceeds 2.0× for mid-level earners without equity.

Singapore Singapore's Ministry of Manpower (MOM) Graduate Employment Survey data and sector wage benchmarks consistently place experienced data scientists at SGD 90,000–130,000 annually. The effective personal income tax rate for that band is 7–11%, substantially lower than comparable Western markets. Rent has risen sharply since 2022 — a central one-bedroom now runs SGD 3,000–4,000/month — but the combination of low tax and a genuinely competitive financial and tech sector keeps Singapore in Tier 1 for DS career value. The city scores highly on CityVerdict's opportunity index for tech and finance roles.

Tier 2 — Strong balance of pay, cost, and career trajectory

Amsterdam (Netherlands) CBS (Statistics Netherlands) wage data places ICT and data professionals among the higher-paid knowledge workers in the Netherlands, with experienced data scientists typically earning €65,000–€90,000 gross. The Netherlands operates a 30% ruling for qualifying expats — a tax exemption that can lift net take-home by 10–15 percentage points for the first five years. Amsterdam's rent index is elevated but lower than London or Zurich on an absolute basis. The city has a mature data and ML ecosystem anchored by Booking.com, ASML's analytics functions, and a growing cluster of AI-native startups. Best European cities for software engineers covers the broader regional picture, and Amsterdam consistently appears in the top tier.

Berlin (Germany) Destatis (Federal Statistical Office, Germany) wage data shows ICT professionals earning €55,000–€80,000 gross at mid-to-senior levels. Germany's tax wedge is higher than the Netherlands — a single earner at €75,000 gross takes home roughly €45,000–€47,000 net — but Berlin's cost base remains one of the lowest among major European tech hubs. Rent for a well-located one-bedroom averages €1,400–€1,700/month (IMV Berlin, 2024), which produces a cost-of-living ratio that comfortably beats London or Paris for similarly-paid roles. Berlin's startup density is high; its shortage is in large-scale enterprise DS roles, which limits the ceiling for those targeting staff or principal tracks.

Toronto (Canada) Statistics Canada Labour Force Survey data (2024) indicates median annual earnings for computer and information systems professionals in Ontario in the range of CAD 95,000–115,000. Toronto has developed a credible AI research corridor — anchored by the Vector Institute and proximity to University of Toronto — that feeds both applied and research-oriented DS roles. Provincial and federal taxes push effective rates to 30–35% on that salary band, but the cost-of-living ratio still outperforms San Francisco or New York, particularly outside the core downtown rental market.

Tier 3 — Emerging value with trade-offs

Madrid (Spain) INE (Instituto Nacional de Estadística) wage data shows data and analytics professionals earning €35,000–€55,000 gross at mid-level — lower than the Tier 1 and 2 cities in absolute terms. However, Spain's Beckham Law offers a flat 24% tax rate on employment income up to €600,000 for qualifying foreign workers relocating to Spain, which materially changes the net pay calculation for those moving from higher-gross markets. Madrid's cost base is competitive: one-bedroom rents in desirable central neighbourhoods average €1,200–€1,600/month (Idealista, Q1 2025). Role depth is growing, particularly in fintech and e-commerce analytics, but the senior market remains thinner than Amsterdam or Berlin.

London (United Kingdom) ONS Annual Survey of Hours and Earnings (ASHE) 2024 data places median annual earnings for IT and telecommunications managers and professionals at approximately £67,000. Senior data scientists in the London market typically earn £75,000–£110,000 depending on sector. The opportunity index is high — London has one of the deepest financial services and tech DS markets globally — but rent and living costs erode net advantage quickly. A £90,000 gross salary in London produces roughly £58,000–£60,000 net, against average one-bedroom rents of £2,100–£2,500/month in inner London (Rightmove, 2024). The savings ratio is workable but not exceptional. London earns its place through career optionality, not financial efficiency.

Tax and Net Pay: The Number Most Relocating Data Scientists Underestimate

Gross salary comparison is functionally useless without tax modelling. Consider two offers: €80,000 in Amsterdam (with the 30% ruling, net ≈ €60,000+) versus £80,000 in London (net ≈ £53,000). The Amsterdam offer is worth roughly €7,000–£8,000 more per year in take-home before rent enters the picture — and Amsterdam is cheaper to rent in.

This gap compounds over a three-year horizon. CityVerdict's financial projection model estimates monthly and 3-year net change from moving, factoring in salary, tax, and cost-of-living data sourced from ONS, Destatis, CBS, INSEE, and Statistics Canada, among others. Running that model for your specific salary band is straightforward on CityVerdict and avoids the error of anchoring on gross figures.

Key tax regimes relevant to data scientists considering relocation:

• Netherlands 30% ruling: Up to 30% of gross salary tax-free for up to five years (conditions apply; Dutch Tax Authority, 2024)
• Spain Beckham Law: Flat 24% rate on employment income for qualifying new residents (up to six years)
• Singapore: Effective rates of 7–11% for SGD 90,000–130,000 income band (IRAS, 2024)
• Germany: No expat regime; standard progressive taxation applies

Career Trajectory vs. Immediate Savings: Choosing the Right Frame

The financially optimal city for a data scientist at 28 and at 38 may be different cities. Early career, the priority is often role density and learning environment — cities like San Francisco, London, or Singapore accelerate skill acquisition through exposure to complex, high-scale systems and specialist peers. The financial efficiency trade-off is real but may be rational.

By mid-career, the calculus shifts. A staff-level or principal data scientist with a portable skill set can optimise for the cost-of-living ratio without sacrificing career ceiling. Amsterdam, Toronto, and Berlin increasingly have the role depth to support that. For those interested in a broader look at how cities rank on career growth specifically, the best cities for career growth analysis on CityVerdict maps opportunity indices across 60 cities.

If you're also evaluating adjacent roles — ML engineering, analytics engineering, data platform — the overlap with software engineering markets is significant. The best cities for software engineers breakdown applies many of the same metrics and is worth reading alongside this one.

Frequently Asked Questions

Which city pays data scientists the most in absolute terms?

San Francisco and New York consistently produce the highest gross and total compensation figures, particularly when equity is included. According to BLS OEWS 2024 data, U.S. data scientist wages at the 90th percentile nationally exceed $167,000 annually. In practice, top-of-market compensation in SF and NYC (base + bonus + RSUs) at senior levels regularly exceeds $200,000 total cash equivalent. The caveat is that pre-tax absolute figures do not account for cost-of-living or tax wedge — net savings rates in these cities are often lower than in Amsterdam or Singapore for equivalent experience levels.

Is it worth moving to Europe as a data scientist for quality of life?

That depends on what quality of life means to you numerically. European cities generally offer more vacation entitlement (statutory minimums of 20–28 days across the EU), lower healthcare out-of-pocket costs, and shorter average commutes than U.S. counterparts. The trade-off is lower absolute compensation. A data scientist earning €75,000 in Amsterdam nets roughly €57,000–€62,000 with the 30% ruling — less than a comparable New York salary before tax, but potentially more purchasing power locally given Amsterdam's lower rent and healthcare cost structure.

How does CityVerdict calculate relocation value for data scientists?

CityVerdict indexes each city on five dimensions — salary, cost, rent, opportunity, and lifestyle — and combines them into a relocation verdict (Stay, Consider moving, or Strong move opportunity). Financial projections show estimated monthly and 3-year net change based on your current city and salary. Data is sourced from official national statistics bureaus including ONS (UK), Destatis (Germany), CBS (Netherlands), INSEE (France), Statistics Canada, ABS (Australia), BLS (US), MOM (Singapore), and OECD IDD. You can read the full scoring methodology at cityverdict.com/methodology.

Which cities have the strongest data science job markets outside the US?

London, Singapore, Amsterdam, and Toronto consistently rank highest for DS role density outside the United States, based on job posting volumes across major platforms and the concentration of financial services, tech, and research institutions. Berlin and Sydney are credible secondary markets with growing ML and AI-native sectors. Madrid is an emerging market, particularly for professionals who qualify for the Beckham Law expat tax regime.

If you're a data scientist actively weighing a relocation, running the numbers on a general basis only gets you so far. The actual verdict depends on your current salary, your target city, and the tax situation that applies to your profile specifically. CityVerdict lets you input your current city, salary band, and priority — save more, grow career, or better balance — and returns a data-driven verdict with financial projections for over 60 cities across 41 countries. No sign-up required. Run your comparison at cityverdict.com/best-cities-for/data-scientists/ and see where the numbers actually land for your situation.