World's Top 12 Highest-Paying Cities for Data Science in 2025

Data Science continues to dominate the global job market, with some cities offering salaries far higher than others. In 2025, data scientists are not just in demand — they are among the highest-paid tech professionals worldwide. From San Francisco to Bengaluru, data professionals are earning lucrative packages, driven by AI adoption and digital transformation across industries. 

In this guide, you’ll read more about the world’s top-paying cities for data scientists, factors driving salary variations, global salary comparisons, and how India stands in this growing field. You’ll also explore insights into career opportunities in data science, skills in demand, and tips to boost your earning potential. 

Top companies are offering lucrative salaries, making now the perfect time to upskill. upGrad’s online Data Science course are designed to equip you with expertise in AI, data analytics, and beyond. Begin your learning journey today! 

World's Top 12 Highest-Paying Cities for Data Science in 2025 

The global demand for skilled data scientists continues to surge, and salary levels vary widely depending on geography, industry, and cost of living. Below is a detailed breakdown of the world’s top 12 cities offering the highest average annual salaries to data scientists in 2025, along with top recruiters and living expenses. In 2025, professionals who can use data science programming languages to improve business operations will be in high demand.

 If you're looking to develop relevant data science skills, here are some top-rated courses to help you get there: 

• Executive Post Graduate Certificate Programme in Data Science & AI 
• Executive Diploma in Data Science & AI with IIIT-B 
• Master’s Degree in Artificial Intelligence and Data Science 

The table below lists the top 12 countries in the world for Data Science in order of the average annual salary earned by Data Scientists.  

Sources: Glassdoor, Living Cost 

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Also Read: Data Science Roadmap: A 10-Step Guide to Success for Beginners and Aspiring Professionals 

1. San Francisco, USA 

The epicenter of tech hubs in the US, San Francisco, is home to several renowned companies that welcome data science talent. A few examples include Meta, Google, Uber, and more. The tough competition is the reason for high salaries in the city.  

Future scope of data science jobs in San Francisco: Projected to increase by 36% from 2023 - 2033 (US Bureau of Labor Statistics) 

Average salary of data scientists: USD 156,541 per annum 

2. New York, USA  

The presence of major tech companies, banks, and leading financial institutions in the Big Apple city propels the need for competitive pay packages in its data science industry. Moreover, data scientists are in equally high demand across varied sectors - advertising, finance, and healthcare.  

Future scope of data science jobs in New York: Projected to grow by 35% increase over 2022-2032 (US Bureau of Labor Statistics) 

Average salary of data scientists: USD 127,019 per annum 

Also Read For More Details: Top Data Science Career Options in the USA 

3. Zurich, Switzerland   

The city is the financial magnet of Switzerland, attracting several top giants in the banking and insurance domains. All of these companies invest heavily in data science to stay ahead of the competition, which explains the remarkable salary packages.  

Future scope of data science jobs in Zurich: The future for data science professionals in Zurich seems quite promising, with high demand across varied sectors - healthcare, finance, and tech.   

Average salary of data scientists: CHF 1,10,000 per annum 

4. Sydney, Australia 

Sydney has lately been attracting a significant number of investments in its tech industry from around the world. Fueling its rapidly-growing tech startup ecosystem is healthcare and FinTech companies investing in data analytics for future growth.  

Future scope of data science jobs in Sydney: Projected CAGR of around 28% in the next 5 years   

Average salary of data scientists: AUD 1,20,250 per annum 

5. Munich, Germany  

Creating a strong demand for data scientists, particularly in its AI and industrial automation sectors, Munich will be among the top-paying cities in the world for these professionals in 2025. The city is a leading hub for manufacturing and automotive industries that considerably make use of data-driven solutions to navigate complex challenges. 

Future scope of data science jobs in Munich: The advent of Industry 4.0 and the commendable support from the government is fostering the growth of data science in Germany. 

Average salary of data scientists: EUR 67,500 per annum 

Also Read: Data Science for Beginners: A Comprehensive Guide 

6. Singapore, Singapore 

The demand for data science in Asia is rapidly increasing too with a surge in the establishment of multinationals in the region. Singapore is fast evolving as the technological and financial hub of Asia. This has further promoted the demand for data analytics and AI in industries like logistics, banking, and healthcare. 

Future scope of data science jobs in Singapore: The data science industry boasts a considerable earning potential of SGD 122,923, which explains the high salaries and promising career prospects for professionals. 

Average salary of data scientists: SGD 104,999 per annum 

7. Tokyo, Japan  

One of the tech pioneers in the world, Japan has always attracted the top talent in the field across the globe. With the emergence of IoT, robotics, and AI technologies, the capital city of Tokyo is fast turning into a “smart city”. With data science being a key component in these technological developments, skilled professionals are rewarded well for their efforts. 

Future scope of data science jobs in Tokyo: Projected 20% job growth propelled by the consistent demand for data scientists in various industries. 

Average salary of data scientists: JP¥ 70,00,000 per annum  

8. Toronto, Canada 

The popular hub of innovative startups and giant tech companies renowned across the world, Toronto boasts a robust AI research ecosystem. The fast-evolving tech industry in the city receives considerable support and backup from the initiatives led by the Canadian government, thus paying its data scientists decently well. 

Future scope of data science jobs in Toronto: Job openings for data scientists are projected to go up to 10,000 between 2024 and 2033.  

Average salary of data scientists: CAD 93,358 per annum 

9. London, UK 

The world-famous financial hub creates a consistently high demand for data analysts in FinTech, banking jobs, retail, and e-commerce.  

Future scope of data science jobs in London: The epicenter of data science and tech industries in the UK, London continues to attract skilled professionals in the field across its varied sectors - healthcare, finance, and government. 

Average salary of data scientists: GBP 54,277 per annum 

10. Bengaluru, India 

Yet another city that deserves a mention in the list of the world’s top-paying data science cities in 2025 is the Silicon City of India - Bengaluru. It is also famously addressed as the country’s IT capital, thanks to the presence of numerous technological companies of all sizes that harmoniously exist side by side in the city. The tech hub creates ample opportunities for data scientists. 

Future scope of data science jobs in Bengaluru: Projected to grow 36% by 2031 

Average salary of data scientists: INR 17,00,000 per annum 

11. Gurugram, India  

India is fast catching up with the world in the field of data science and analytics, with the city of Gurugram in Haryana spreading out as a tech hub. Numerous startups and tech giants are on the lookout for talented data scientists at lucrative salary offers. 

Future scope of data science jobs in Gurugram: The data science industry in the city is set to boom with competitive compensation packages ranging from INR 100,000 - INR 400,000 per annum.  

Average salary of data scientists: INR 15,00,000 per annum 

12. Hong Kong, China 

The city’s strategic location as Asia’s popular financial epicenter creates a high demand for data science professionals in the insurance, banking, and FinTech industries. 

Future scope of data science jobs in Hong Kong: Projected to grow at a CAGR of 34.6% between 2025 and 2030 

Average salary of data scientists: HKD 360,325 per annum 

Also Read: Top 15 jobs for Data Science with highest salary in India 2025 

Data Science Salary in India — 2025 Outlook 

The demand for data scientists in India is growing rapidly, and salaries reflect the importance of this role across industries. While India may not match global tech hubs in absolute pay, the cost of living and expanding opportunities make it a lucrative career option. In 2025, data science professionals can expect competitive compensation, especially in top cities and with the right skill set. 

Average Salary Range by Experience Level 

Salaries for data scientists in India vary significantly depending on experience and expertise: 

• Entry-level (0–2 years): ₹5–8 LPA 
• Mid-level (3–6 years): ₹10–18 LPA 
• Senior-level (7+ years): ₹22–35 LPA+ 

Professionals working in specialized roles like AI/ML engineers, data architects, or analytics consultants can earn above the median range. With experience, salary growth accelerates, especially for those who combine technical skills with domain knowledge. 

Top Indian Cities Offering the Best Salaries 

Some Indian cities offer higher compensation for data science professionals due to the presence of global tech firms, startups, and IT services companies. 

Source: AmbitionBox, Glassdoor

Bengaluru and Gurugram remain the top-paying cities, attracting professionals with expertise in AI, machine learning, and cloud analytics. 

Skills That Increase Salary Potential 

Mastering high-demand analytical and  technical skills can significantly boost your earning potential in India: 

• Machine Learning & Deep Learning: TensorFlow, PyTorch 
• Big Data Frameworks (Hadoop, Spark) 
• Cloud Platforms (AWS, GCP, Azure) 
• Programming Proficiency (Python, R, SQL) 
• Data Visualization (Power BI, Tableau) 
• Business Analytics & Domain Knowledge 

Professionals who combine technical expertise with domain-specific insights—such as finance, healthcare, or marketing analytics—tend to receive higher compensation and faster career growth. 

Future Demand and Job Growth 

India’s data science market is projected to grow significantly in the coming years. Industries such as BFSI, healthcare, retail, and IT services are driving increased demand for data professionals. With the rise of AI, cloud computing, and generative analytics, India is expected to generate over 300,000 new data science roles by 2025. Additionally, remote global opportunities allow Indian professionals to access international pay scales, often earning in dollars while residing in India. 

The outlook for data science in India is promising, making it an ideal time for aspirants to upskill and capitalize on the growing market. 

Global Hiring Trends and Emerging Job Roles in Data Science 

The global demand for data science professionals continues to surge as companies across industries increasingly rely on data-driven insights to stay competitive. In 2025, opportunities are expanding not just in traditional tech hubs but also in emerging markets, reflecting the universal importance of analytics, AI, and machine learning. Organizations are actively seeking talent capable of driving innovation, automating processes, and generating actionable business intelligence. 

Roles in Demand — ML Engineers, Data Architects, AI Analysts 

Certain roles are witnessing particularly high demand worldwide: 

• Machine Learning (ML) Engineers: Focused on designing, building, and deploying ML models that improve business outcomes. These roles are especially in demand in tech, finance, and autonomous systems. 
• Data Architects: Responsible for designing and managing robust data infrastructure, ensuring smooth storage, accessibility, and integration of enterprise data. 
• AI Analysts: Professionals who analyze AI model outputs and provide actionable insights, bridging technical teams with business strategy. 

Companies increasingly prefer candidates who can combine technical expertise with strategic thinking, allowing them to extract maximum value from data initiatives. 

Industries Driving Hiring — BFSI, Healthcare, E-commerce, Tech 

Several sectors are leading the global hiring surge for data professionals: 

• BFSI (Banking, Financial Services, and Insurance): Leveraging predictive analytics, fraud detection, and risk modeling. 
• Healthcare & Life Sciences: Employing data for personalized medicine, patient analytics, and operational efficiency. 
• E-commerce & Retail: Using recommendation engines, customer segmentation, and supply chain optimization. 
• Technology & SaaS: Driving AI development, cloud analytics, and data product innovation. 

How Companies Value Upskilling and Certifications 

Global employers increasingly recognize that continuous learning and specialized certifications significantly enhance productivity and career growth. Professionals with certifications in AI, ML, cloud platforms, data engineering, or analytics tools are preferred for high-impact roles and leadership tracks. Companies not only offer higher salaries to certified talent but also provide training programs and sponsored courses to upskill employees, demonstrating the premium placed on lifelong learning in the data science domain. 

Upskilling has become a differentiator, with certified professionals often enjoying faster promotions, higher salary brackets, and access to international opportunities. 

How to Increase Your Data Science Salary 

Boosting your data science salary in 2025 requires a combination of technical mastery, continuous learning, and strategic career decisions. By acquiring in-demand skills, earning certifications, building a strong portfolio, and leveraging networking, professionals can significantly enhance their earning potential. 

Acquire High-Value Skills (AI, Cloud, MLOps, GenAI) 

Specialized skills are key to commanding higher salaries: 

• Artificial Intelligence (AI) & Machine Learning (ML): Advanced algorithms, deep learning frameworks such as TensorFlow, PyTorch. 
• Cloud Computing: Proficiency in AWS, GCP, or Azure for scalable data solutions. 
• Machine Learning Workflow: Ensures models are production-ready and maintainable. 
• Generative AI (GenAI): Emerging field with high demand across industries. 

Upskilling in these areas not only increases job opportunities but also positions professionals for leadership and high-impact roles. 

Earn Global Certifications and Master’s Degrees 

Certifications and advanced degrees validate expertise and differentiate candidates in a competitive market: 

• Certifications: AI, ML, Data Engineering, Cloud, or Business Analytics credentials from recognized providers. 
• Master’s Programs: Postgraduate degrees in Data Science or related fields demonstrate deep knowledge and analytical capabilities. 

Employers value certified professionals and advanced degree holders for high-responsibility roles, often offering higher salaries and faster promotion paths. 

Build a Strong Portfolio with Real-World Projects 

Practical experience is critical: 

• Showcase projects that solve real business problems using analytics, ML, or AI. 
• Contribute to open-source repositories or Kaggle competitions. 
• Highlight outcomes, metrics, and impact on business decisions. 

A strong portfolio signals both competence and initiative, making you a more attractive candidate for top-paying positions. 

Leverage Networking and Global Freelance Opportunities 

Expanding professional networks and exploring freelance work can significantly enhance earning potential: 

• Attend industry conferences, webinars, and data science communities. 
• Connect with international recruiters and hiring managers via LinkedIn. 
• Explore remote freelance opportunities for companies abroad, which often pay higher rates in USD or EUR. 

Networking combined with global exposure opens doors to higher-paying projects and permanent roles. 

How Can upGrad Help Boost Your Earning Potential in Data Science 

Avail the booming prospects in the field of data science by leveraging the immense potential of upskilling in the domain. Gaining the desired expertise in top tools and technologies in data science can help professionals climb the corporate ladder.  

Online learning platforms such as upGrad help new and experienced data science professionals to enhance their knowledge and skills in the field. Through professional certifications and a wide array of free courses on Data Science, upGrad enables aspiring data scientists to land a dream job in their favorite high-paying city in the world. 

Some of our most popular Data Science courses that can help boost your earning potential globally are as follows: 

• MS in Data Science Degree 
• Executive Diploma in Data Science & AI with IIIT-B 
• Professional Certificate Program in AI and Data Science 
• Master of Science in Artificial Intelligence and Data Science 
• Business Analytics & Consulting with PwC India 

Take the first step in learning Data Science online by availing one free personalized career counseling session with our experts. You can also visit an upGrad center near you for more details on our popular programs and certifications. 

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