{"id":3982,"date":"2026-05-01T06:23:52","date_gmt":"2026-05-01T06:23:52","guid":{"rendered":"https:\/\/www.inventateq.com\/top-stories\/?p=3982"},"modified":"2026-05-01T06:23:53","modified_gmt":"2026-05-01T06:23:53","slug":"data-science-vs-traditional-it-roles-salary-growth-comparison","status":"publish","type":"post","link":"https:\/\/www.inventateq.com\/top-stories\/data-science-vs-traditional-it-roles-salary-growth-comparison\/","title":{"rendered":"Data Science vs Traditional IT Roles: Salary Growth Comparison"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\"><strong>Table of Contents:<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Understanding the two career paths<\/li>\n\n\n\n<li>Entry-level salary comparison<\/li>\n\n\n\n<li>Salary growth in the first five years<\/li>\n\n\n\n<li>Mid-career salary comparison<\/li>\n\n\n\n<li>Impact of market cycles on salaries<\/li>\n\n\n\n<li>Why data science saw faster growth<\/li>\n\n\n\n<li>Why traditional IT remains strong<\/li>\n\n\n\n<li>Role progression and salary ceilings<\/li>\n\n\n\n<li>Location and industry influence<\/li>\n\n\n\n<li>Switching careers: what to expect<\/li>\n\n\n\n<li>Skills that influence salary growth<\/li>\n\n\n\n<li>A realistic comparison summary<\/li>\n\n\n\n<li>Final takeaway<\/li>\n\n\n\n<li>FAQs<\/li>\n<\/ul>\n\n\n\n<p>Technology careers no longer follow one straight path. Ten years ago, most people aimed for software development, system administration, or testing roles. Today, data science sits alongside these roles as a strong alternative. Many professionals now ask one clear question: Which path offers better salary growth over time?<\/p>\n\n\n\n<p>This blog compares data science and traditional IT roles from a salary growth point of view. It focuses on real numbers, realistic career movement, and long-term trends. The goal is clarity, not hype.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Understanding the two career paths<\/strong><\/h2>\n\n\n\n<p>Before comparing salaries, it helps to be clear about what these roles actually involve.<\/p>\n\n\n\n<p><strong>Traditional IT roles<\/strong> focus on building, maintaining, and supporting technology systems. These include software engineers, backend developers, QA engineers, system administrators, cloud engineers, and network specialists. Their work keeps applications running and users connected.<\/p>\n\n\n\n<p><strong>Data science roles<\/strong> focus on using data to answer business questions. This includes data analysts, data scientists, machine learning engineers, and applied AI roles. Their work supports decisions, predictions, and automation.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>Characteristic<\/strong><\/td><td><strong>Focus<\/strong><\/td><td><strong>Roles<\/strong><\/td><td><strong>Impact<\/strong><\/td><\/tr><tr><td>Traditional IT<\/td><td>Building and maintaining systems<\/td><td>Software engineers, system administrators<\/td><td>Keeps applications running, secure, and stable<\/td><\/tr><tr><td>Data Science<\/td><td>Using data for business insights<\/td><td>Data analysts, data scientists, machine learning engineers<\/td><td>Supports decisions, predictions, and automation<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>Both paths need technical skills. But the nature of work and value creation differs.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Entry-level salary comparison<\/strong><\/h2>\n\n\n\n<p>At the entry level, data science roles often start higher. In India, the average annual salary for a Data Scientist is around \u20b91,353,000.<br>By comparison, the average Software Engineer salary in India is close to \u20b9800,000 per year.<\/p>\n\n\n\n<p>This difference exists for a few reasons. Data roles usually require a mix of statistics, coding, and business understanding. Fewer candidates meet all three requirements. That scarcity affects pay.<\/p>\n\n\n\n<p>In the United States, the trend is similar. The median annual wage for data scientists was <a href=\"https:\/\/www.bls.gov\/ooh\/math\/data-scientists.htm?utm_source=chatgpt.com#:~:text=The%20median%20annual%20wage%20for%20data%20scientists%20was%20%24112%2C590%20in%20May%202024.\" target=\"_blank\" rel=\"noopener\">$112,590 as of May 2024<\/a>.<br>For advanced research-based computing roles, the <a href=\"https:\/\/www.bls.gov\/ooh\/computer-and-information-technology\/computer-and-information-research-scientists.htm?utm_source=chatgpt.com#:~:text=The%20median%20annual%20wage%20for%20computer%20and%20information%20research%20scientists%20was%20%24140%2C910%20in%20May%202024.\" target=\"_blank\" rel=\"noopener\">median wage reached $140,910<\/a>.<\/p>\n\n\n\n<p>These figures show that data-focused roles generally enter the market at a higher pay band.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Salary growth in the first five years<\/strong><\/h2>\n\n\n\n<p>The early career phase shows the biggest contrast.Data science professionals often see faster jumps in the first five years. A report tracking data roles showed a <a href=\"https:\/\/www.analytixlabs.co.in\/blog\/data-science-market-research-report-2024\/?utm_source=chatgpt.com#:~:text=Career%20opportunities%20in%20data%20have%20grown%20exponentially.%20Research%20shows%20a%2060%25%20increase%20in%20the%20median%20salary%20from%202015%20to%202023\" target=\"_blank\" rel=\"noopener\">60% increase in median pay between 2015 and 2023<\/a>.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large is-resized is-style-default\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"595\" src=\"https:\/\/www.inventateq.com\/top-stories\/wp-content\/uploads\/2026\/05\/Median-Pay-increase-for-Data-professionals-from-2015-to-2023-1-1024x595.png\" alt=\"Median Pay\" class=\"wp-image-3986\" style=\"aspect-ratio:1.7210302924588639;width:435px;height:auto\" srcset=\"https:\/\/www.inventateq.com\/top-stories\/wp-content\/uploads\/2026\/05\/Median-Pay-increase-for-Data-professionals-from-2015-to-2023-1-1024x595.png 1024w, https:\/\/www.inventateq.com\/top-stories\/wp-content\/uploads\/2026\/05\/Median-Pay-increase-for-Data-professionals-from-2015-to-2023-1-300x174.png 300w, https:\/\/www.inventateq.com\/top-stories\/wp-content\/uploads\/2026\/05\/Median-Pay-increase-for-Data-professionals-from-2015-to-2023-1-768x447.png 768w, https:\/\/www.inventateq.com\/top-stories\/wp-content\/uploads\/2026\/05\/Median-Pay-increase-for-Data-professionals-from-2015-to-2023-1.png 1080w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>This happens because early data professionals move quickly from analyst to scientist or ML roles. Each step adds complexity and responsibility. That leads to larger increments.<\/p>\n\n\n\n<p>Traditional IT professionals usually see steadier growth. Raises come through annual reviews, promotions, or job switches. The jumps are smaller but more predictable.<\/p>\n\n\n\n<p>Neither path is better by default. The difference lies in speed versus stability.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Mid-career salary comparison<\/strong><\/h2>\n\n\n\n<p>At the mid-career level, things become more balanced.<\/p>\n\n\n\n<p>A mid-level data scientist earns well, but competition also increases. More candidates enter the field. Tools become easier to use. Employers expect deeper specialization.<\/p>\n\n\n\n<p>Meanwhile, traditional IT professionals who stay relevant do very well. Backend engineers, cloud architects, and platform engineers often reach strong compensation levels by their seventh or eighth year.<\/p>\n\n\n\n<p>At this stage, skill depth matters more than job title. Someone managing distributed systems may earn more than a general data scientist.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Impact of market cycles on salaries<\/strong><\/h2>\n\n\n\n<p>Salary growth does not move in a straight line. Market conditions matter.One dataset showed that median tech salaries in India dropped from <a href=\"https:\/\/timesofindia.indiatimes.com\/business\/india-business\/median-tech-pay-in-india-falls-40-to-22k\/articleshow\/124861266.cms?utm_source=chatgpt.com#:~:text=India%20fell%20by%2040%25%20to%20%2422%2C000%20in%202025%20from%20%2436%2C000%20in%202024\" target=\"_blank\" rel=\"noopener\">$36,000 in 2024 to $22,000 in 2025<\/a>.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"595\" src=\"https:\/\/www.inventateq.com\/top-stories\/wp-content\/uploads\/2026\/05\/Median-Tech-Salaries-in-India-2024-2025-1024x595.png\" alt=\"\" class=\"wp-image-3987\" style=\"aspect-ratio:1.7210302924588639;width:460px;height:auto\" srcset=\"https:\/\/www.inventateq.com\/top-stories\/wp-content\/uploads\/2026\/05\/Median-Tech-Salaries-in-India-2024-2025-1024x595.png 1024w, https:\/\/www.inventateq.com\/top-stories\/wp-content\/uploads\/2026\/05\/Median-Tech-Salaries-in-India-2024-2025-300x174.png 300w, https:\/\/www.inventateq.com\/top-stories\/wp-content\/uploads\/2026\/05\/Median-Tech-Salaries-in-India-2024-2025-768x447.png 768w, https:\/\/www.inventateq.com\/top-stories\/wp-content\/uploads\/2026\/05\/Median-Tech-Salaries-in-India-2024-2025.png 1080w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>This affected both data and engineering roles.<\/p>\n\n\n\n<p>Data roles can feel these swings faster. When companies cut costs, experimental analytics teams are often paused. Core engineering teams may be retained longer because systems still need maintenance.<\/p>\n\n\n\n<p>This does not mean data science is unstable. It means professionals must stay adaptable.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Why data science saw faster growth<\/strong><\/h2>\n\n\n\n<p>Several factors pushed data salaries upward:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Companies began using data for pricing, fraud detection, and personalization<br><\/li>\n\n\n\n<li>AI and machine learning moved from research to production<br><\/li>\n\n\n\n<li>Business leaders wanted measurable outcomes from data<br><\/li>\n\n\n\n<li>Fewer professionals had strong statistics and ML foundations<br><\/li>\n<\/ul>\n\n\n\n<p>Because of this, early data professionals benefited from strong demand.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Why traditional IT remains strong<\/strong><\/h2>\n\n\n\n<p>Traditional IT roles did not disappear. They evolved.<\/p>\n\n\n\n<p>Cloud adoption increased demand for DevOps and platform engineers. Microservices increased backend complexity. Cybersecurity became critical.<\/p>\n\n\n\n<p>Senior engineers, solution architects, and engineering managers often earn salaries that match or exceed data roles. The growth is slower but longer-lasting.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Role progression and salary ceilings<\/strong><\/h2>\n\n\n\n<p>Data science roles can hit a ceiling earlier if professionals stay general. Moving beyond that requires specialization in areas like NLP, computer vision, or large-scale ML systems.<\/p>\n\n\n\n<p>Traditional IT roles offer broader ladders. Engineers can move into architecture, leadership, or product roles. Each path supports continued salary growth.<\/p>\n\n\n\n<p>This is why long-term earning potential depends on role evolution, not just the starting point.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Location and industry influence<\/strong><\/h2>\n\n\n\n<p>Salary growth also depends on where and who you work for.<\/p>\n\n\n\n<p>Product companies, fintech firms, and AI startups usually pay more. Service-based companies pay less but offer stability.<\/p>\n\n\n\n<p>In cities like Bangalore, salaries are higher due to demand and global exposure. So learning the course from a reputed <a href=\"https:\/\/www.inventateq.com\/data-science-training-courses-bangalore.php\">data science institute from Bangalore<\/a> helps to move into growth earlier in&nbsp; analytics-led roles.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Switching careers: what to expect<\/strong><\/h2>\n\n\n\n<p>Many professionals move from traditional IT into data science. The initial switch may not bring a huge raise. Sometimes pay stays flat for a year.<\/p>\n\n\n\n<p>But growth can accelerate once experience builds. Employers reward people who understand both systems and data.<\/p>\n\n\n\n<p>The opposite move also happens. Some data professionals shift into engineering or product roles for stability.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Skills that influence salary growth<\/strong><\/h2>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"595\" src=\"https:\/\/www.inventateq.com\/top-stories\/wp-content\/uploads\/2026\/05\/Skills-Influencing-Salary-Growth-1024x595.png\" alt=\"\" class=\"wp-image-3988\" style=\"aspect-ratio:1.7210302924588639;width:432px;height:auto\" srcset=\"https:\/\/www.inventateq.com\/top-stories\/wp-content\/uploads\/2026\/05\/Skills-Influencing-Salary-Growth-1024x595.png 1024w, https:\/\/www.inventateq.com\/top-stories\/wp-content\/uploads\/2026\/05\/Skills-Influencing-Salary-Growth-300x174.png 300w, https:\/\/www.inventateq.com\/top-stories\/wp-content\/uploads\/2026\/05\/Skills-Influencing-Salary-Growth-768x447.png 768w, https:\/\/www.inventateq.com\/top-stories\/wp-content\/uploads\/2026\/05\/Skills-Influencing-Salary-Growth.png 1080w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p><strong>For data science:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Strong statistics and probability<br><\/li>\n\n\n\n<li>SQL and Python at production level<br><\/li>\n\n\n\n<li>Model deployment experience<br><\/li>\n\n\n\n<li>Business problem framing<br><\/li>\n<\/ul>\n\n\n\n<p><strong>For traditional IT:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>System design and scalability<br><\/li>\n\n\n\n<li>Cloud and infrastructure automation<br><\/li>\n\n\n\n<li>Security and reliability engineering<br><\/li>\n\n\n\n<li>Team leadership<br><\/li>\n<\/ul>\n\n\n\n<p>Salary growth follows skill depth, not certificates.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>A realistic comparison summary<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Data science showed faster salary growth over the last decade<br><\/li>\n\n\n\n<li>Traditional IT offers steadier and longer-term growth<br><\/li>\n\n\n\n<li>Market downturns affect both paths<br><\/li>\n\n\n\n<li>Senior roles in either field can pay very well<br><\/li>\n\n\n\n<li>Skill relevance matters more than job title<br><\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Final takeaway<\/strong><\/h2>\n\n\n\n<p>There is no single winner in the salary debate between data science and traditional IT. Data science offers faster early growth and higher starting pay. Traditional IT offers stability and long-term progression.<\/p>\n\n\n\n<p>The best choice depends on how you like to work, how much risk you can handle, and how willing you are to keep learning. Salary growth follows people who adapt.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>FAQs<\/strong><\/h2>\n\n\n\n<p><strong>1.<\/strong> <strong>Is data science better paid than traditional IT?<br><\/strong> On average, yes at entry and early mid-level. But senior IT roles can match or exceed data salaries.<\/p>\n\n\n\n<p><strong>2.<\/strong> <strong>Does salary growth slow down in data science?<br><\/strong> It can if skills stay general. Specialization keeps growth steady.<\/p>\n\n\n\n<p><strong>3.<\/strong> <strong>Are traditional IT roles safer during layoffs?<br><\/strong> Often yes, because core systems still need support. But no role is immune.<\/p>\n\n\n\n<p><strong>4.<\/strong> <strong>Which role has better long-term earning potential?<br><\/strong> Both do, if you move into senior or leadership positions.<\/p>\n\n\n\n<p><strong>5.<\/strong> <strong>Should freshers choose data science for salary alone?<br><\/strong> No. Interest and skill fit matter more than short-term pay.<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Table of Contents: Technology careers no longer follow one straight path. Ten years ago, most people aimed for software development, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":3983,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[16],"tags":[],"class_list":["post-3982","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-science"],"_links":{"self":[{"href":"https:\/\/www.inventateq.com\/top-stories\/wp-json\/wp\/v2\/posts\/3982","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inventateq.com\/top-stories\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inventateq.com\/top-stories\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inventateq.com\/top-stories\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inventateq.com\/top-stories\/wp-json\/wp\/v2\/comments?post=3982"}],"version-history":[{"count":2,"href":"https:\/\/www.inventateq.com\/top-stories\/wp-json\/wp\/v2\/posts\/3982\/revisions"}],"predecessor-version":[{"id":3989,"href":"https:\/\/www.inventateq.com\/top-stories\/wp-json\/wp\/v2\/posts\/3982\/revisions\/3989"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.inventateq.com\/top-stories\/wp-json\/wp\/v2\/media\/3983"}],"wp:attachment":[{"href":"https:\/\/www.inventateq.com\/top-stories\/wp-json\/wp\/v2\/media?parent=3982"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inventateq.com\/top-stories\/wp-json\/wp\/v2\/categories?post=3982"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inventateq.com\/top-stories\/wp-json\/wp\/v2\/tags?post=3982"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}