EXL (NASDAQ: EXLS) is a global leader in data and AI, bringing 25+ years of proven expertise, helping enterprises transform and redefining what’s possible for our clients. We partner with leading companies in insurance, healthcare, banking and capital markets, retail, media and communications, and energy and infrastructure to reimagine business models, deliver measurable outcomes, and accelerate innovation.
At EXL, innovation isn't just a buzzword - it's how we solve complex challenges and create lasting value. By integrating cutting-edge technologies like machine learning, AI, and cloud computing, we enable our clients to stay ahead of the curve. Whether it's revolutionizing customer experiences, streamlining back-office operations, or uncovering new revenue streams, innovation fuels everything we do.
Headquartered in New York, NY, our team is over 60,000 strong across 6 continents. For more about EXL Service, visit https://www.exlservice.com/
Skills & Qualifications
Required:
· Current undergraduate Sophomore in engineering, business, economics, computer science, mathematics, or related fields.
· Strong analytical aptitude, curiosity, and willingness to learn.
· Effective communication skills and ability to work collaboratively.
Preferred (Based on Track):
· Basic familiarity with analytics tools (Excel, MS-Word, SQL, Python) or an interest in AI/ML.
· Interest in business operations, process improvement, or research-driven work.
Key Responsibilities
· Assist in data preparation, exploratory analysis, and creation of basic reports or dashboards (role-dependent).
· Support documentation of processes, workflows, and project artifacts.
· Conduct research on industry trends, functional topics, or emerging technologies.
· Prepare presentations and summaries for internal use.
· Collaborate with mentors and teams to deliver assigned tasks in a timely, structured manner.
· Participate in learning modules, team meetings, and knowledge-sharing sessions.
EXL analyzes business data and runs outsourced operations for insurers, healthcare payers, banks, retailers, and other large organizations. Its teams combine industry expertise with data engineering and AI to handle tasks such as claims processing, payment reviews, customer service, and finance within existing technology environments. The company also builds software, including LifePRO, which manages insurance policies, and EXLdata.ai, which connects fragmented data for use in AI systems. Clients pay for consulting projects, ongoing managed services, and software delivered through the cloud. EXL was founded in 1999 and is headquartered in New York City.
Company Size
10,001+
Company Stage
IPO
Headquarters
New York City, New York
Founded
1999
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EXL named an OpenAI Select Partner. October 29, 2026 11:56 ET | Source: EXL NEW YORK, Oct. 29, 2026 (GLOBE NEWSWIRE) - EXL [NASDAQ: EXLS], a global data and AI company, announced that it has been named an OpenAI Select Partner within the OpenAI Partner Network. The OpenAI Partner Network is a global program that equips partners with the resources, enablement, and support to build, sell, and deliver AI solutions with OpenAI. It brings together partners with deep industry expertise, delivery capabilities, and customer relationships while equipping them with resources, enablement, and support to help enterprises adopt OpenAI frontier models and products and turn them into measurable impact. As an OpenAI Select Partner, EXL will work with OpenAI to help organizations build, deploy, and scale AI responsibly. This work will help organizations put OpenAI frontier models to work across their business, using deeper reasoning and computer use to complete workflows and deliver finished work. "Being named an OpenAI Select Partner reflects how we work with clients: combining frontier AI with deep understanding of their business to deliver outcomes," said Vishal Chhibbar, executive vice president and chief revenue officer, EXL. "Clients trust us to apply that capability where it matters most, across entire journeys and with accountability for the end result. That trust, built over years inside their operations is what turns AI ambition into results." EXL brings together data, context and AI to help organizations in insurance, financial services, healthcare and life sciences, and other heavily regulated, operationally complex industries move AI from pilot to production in core enterprises. Its work includes helping insurers reimagine underwriting, claims management and administrative workflows; supporting health plans integration of AI payment integrity and patient engagement systems; and transforming risk and compliance, credit decisioning and customer engagement initiatives for financial service leaders. Looking ahead, EXL will continue to work with OpenAI to create new capabilities for the industries it serves and to scale OpenAI-powered deployments that take ownership of entire client journeys, helping clients turn AI into real business outcomes. About EXL EXL (NASDAQ: EXLS) is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL propels enterprises to go beyond AI ambition to impact by combining the power of data, AI, and deep industry context with trusted execution. Our clients include the world's leading corporations across insurance, healthcare, banking and capital markets, retail, communications and media, and energy and infrastructure, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have over 74,000 employees spanning six continents. For more information, visit http://www.exlservice.com. Cautionary Statement Regarding Forward-Looking Statements This press release contains forward-looking statements within the meaning of the United States Private Securities Litigation Reform Act of 1995. You should not place undue reliance on those statements because they are subject to numerous uncertainties and factors relating to EXL's operations and business environment, all of which are difficult to predict and many of which are beyond EXL's control. Forward-looking statements include information concerning EXL's possible or assumed future results of operations, including descriptions of its business strategy. These statements may include words such as "may," "will," "should," "believe," "expect," "anticipate," "intend," "plan," "estimate" or similar expressions. These statements are based on assumptions that we have made in light of management's experience in the industry as well as its perceptions of historical trends, current conditions, expected future developments and other factors it believes are appropriate under the circumstances. You should understand that these statements are not guarantees of performance or results. They involve known and unknown risks, uncertainties and assumptions. Although EXL believes that these forward-looking statements are based on reasonable assumptions, you should be aware that many factors could affect EXL's actual financial results or results of operations and could cause actual results to differ materially from those in the forward-looking statements. These factors, which include our ability to maintain and grow client demand, our ability to hire and retain sufficiently trained employees, and our ability to accurately estimate and/or manage costs, rising interest rates, rising inflation and recessionary economic trends, are discussed in more detail in EXL's filings with the Securities and Exchange Commission, including EXL's Annual Report on Form 10-K. You should keep in mind that any forward-looking statement made herein, or elsewhere, speaks only as of the date on which it is made. New risks and uncertainties come up from time to time, and it is impossible to predict these events or how they may affect EXL. EXL has no obligation to update any forward-looking statements after the date hereof, except as required by federal securities laws. Company Profile EXL Industry: Computer Services Website: https://exlservice.com Recommended reading.
What ExlService (EXLS) said on its Q3 earnings call. October 28, 2026 Key points. * Strong Q3 performance: ExlService's revenue rose 19.7% year over year to $634 million, while adjusted EPS increased 28.5% to $0.62. Organic constant-currency growth accelerated to 17%, with all four operating segments growing more than 15%. * AI-led growth is reshaping the business: Data and AI revenue grew 36% reported and 31% organically, reaching nearly two-thirds of total revenue. The company is shifting AI-enabled work from Digital Operations into higher-value Data and AI-led operations and is expanding agentic AI offerings. * Full-year outlook raised: ExlService increased its 2026 revenue forecast to $2.43 billion-$2.44 billion and adjusted EPS guidance to $2.34-$2.36. The company cited strong demand, pipeline growth and the early contribution of its iMerit acquisition. * Interested in ExlService? Here are five stocks we like better. ExlService NASDAQ: EXLS reported third-quarter 2026 revenue of $634 million, up 19.7% from a year earlier, as demand for its data, artificial intelligence and operations services increased across all four operating segments. Adjusted diluted earnings per share rose 28.5% year over year to $0.62. Chairman and Chief Executive Officer Rohit Kapoor said organic constant-currency growth accelerated to 17% during the quarter, with every operating segment growing by more than 15%. The company raised its full-year revenue and adjusted earnings outlook, citing third-quarter performance, pipeline growth and continued demand for AI-related services. Data and AI services drive growth. Data and AI-led revenue grew 36% on a reported basis and 31% organically in the quarter, reaching nearly two-thirds of ExlService's total revenue, according to Kapoor. The company reported growth across data management, AI services and solutions, payment integrity, data and AI-led operations, and model-training services obtained through its acquisition of iMerit. Kapoor said enterprises are progressing from AI experimentation toward scaled implementations, with agentic AI increasingly becoming a focus. He said ExlService's combination of workflow knowledge, industry-specific context, data access and AI engineering capabilities has supported its client engagements. During the quarter, the company won an engagement with a U.K. bank, working with Google to migrate the bank's analytics environment from SAS to a cloud-native architecture on Google Cloud. ExlService said it is using its agentic EXLdata.ai offering on the project. The company also introduced or expanded agentic AI offerings for finance, life and annuities, and healthcare payment integrity. These included an Agentic Suite for finance, enhancements to its LifePRO Agentic Suite, and Payment Integrity with AI for healthcare payers. Operations mix shift and segment results. Digital Operations revenue declined 1.7% year over year, but Kapoor said the reduction was intentional as work incorporating AI is reclassified into the company's Data and AI-led category. Total Operations, which includes Digital Operations and Data and AI-led operations, grew 12% from a year earlier. "This decline is by design," Kapoor said of Digital Operations, adding that AI-enabled operations engagements become "more intelligent, more IP-led, and higher value." * Insurance: Revenue was $208.5 million, up 15.5% year over year on a constant-currency basis. Kapoor said the segment's growth accelerated for a third consecutive quarter, led by data management and analytics. * Health & Life Sciences: Revenue totaled $160.4 million, up 18.6% year over year and 17.2% organically. Higher volumes in payment services and expanded existing client relationships supported the increase. * Banking, Capital Markets and Diversified Industries: Revenue reached $153.5 million, up 27% on a reported basis and 16.8% organically. The acquisition of iMerit, client expansions and new wins contributed to growth. * International Growth Markets: Revenue was $111.6 million, up 21.1% on a reported basis and 20% organically. Growth was supported by higher volumes from existing clients and new client wins. Kapoor said ExlService added 30 new logos during 2026, with particular momentum among mid-tier banks and fintech companies. He also said the company's pipeline creation increased at a double-digit rate as clients pursued larger, integrated engagements. iMerit integration and leadership changes. ExlService closed its acquisition of iMerit at the end of July. iMerit contributed $15.3 million in revenue during its first two months within ExlService, with growth in high-tech and healthcare as well as continued work with frontier AI labs. Discover more Invest in Stocks Start Investing Stock Screener Tool Kapoor characterized iMerit as a strategic acquisition that expands ExlService's ability to operate across the AI stack, including data preparation, model training and fine-tuning, evaluation and validation, and AI deployment within workflows. He said the integration has proceeded well but remains at an early stage. The company also announced executive changes following the departure of Vivek Jetley, president and head of Insurance, Health & Life Sciences, who left to become a CEO elsewhere. Bhupender Singh, president and head of International Growth Markets, added leadership of the Insurance segment. Raghav Jaggi will lead U.S. Insurance, while Nikhil Dhingra will lead Health & Life Sciences and report directly to Kapoor. Margins, cash flow and raised outlook. Adjusted operating margin was 19.3%, down 10 basis points year over year, reflecting investments to support future ramp-ups. Selling, general and administrative expenses declined 30 basis points as a percentage of revenue to 21%. Chief Financial Officer Maurizio Nicolelli said the company expects margins to remain relatively stable as it continues investing in employees, infrastructure and technology. He said the mix of spending is shifting as ExlService expands its data and AI activities. For the first nine months of 2026, ExlService generated $209 million in operating cash flow, spent $44 million on capital expenditures and repurchased approximately 6.6 million shares for $205 million. As of Sept. 30, the company had $333 million in cash and short-term investments and net debt of $180 million. ExlService expanded its borrowing capacity to $1 billion through a $400 million term loan and a $600 million revolving credit facility due in August 2031. Nicolelli said the capacity provides flexibility for targeted acquisitions and shareholder returns under its $500 million repurchase authorization. The company raised its 2026 revenue forecast to $2.43 billion to $2.44 billion, representing reported growth of 16% to 17% and organic constant-currency growth of 15%. It previously forecast revenue of $2.39 billion to $2.415 billion. Adjusted diluted EPS is now expected to be $2.34 to $2.36, compared with prior guidance of $2.25 to $2.29. The revised range would represent year-over-year growth of approximately 20% to 21%. About ExlService (NASDAQ:EXLS). ExlService Holdings, Inc, operating under the EXL brand, is a data analytics and digital operations company that helps businesses use data, technology and artificial intelligence to improve decision-making, manage risk and enhance operational performance. Its services include data management, advanced analytics, business process solutions, automation and technology-enabled transformation. EXL serves clients across industries including insurance, healthcare, banking and capital markets, utilities, travel and transportation, retail, media and manufacturing. This instant news alert was generated by narrative science technology and financial data from MarketBeat in order to provide readers with the fastest reporting and unbiased coverage. Please send any questions or comments about this story to [email protected]. Before you consider ExlService, you'll want to hear this. MarketBeat keeps track of Wall Street's top-rated and best performing research analysts and the stocks they recommend to their clients on a daily basis. MarketBeat has identified the five stocks that top analysts are quietly whispering to their clients to buy now before the broader market catches on... and ExlService wasn't on the list. While ExlService currently has a Moderate Buy rating among analysts, top-rated analysts believe these five stocks are better buys. MarketBeat just released its list of the 7 hottest IPOs expected to hit Wall Street in 2026. See which companies are preparing to go public and why investors are watching closely. Continue following MarketBeat
ExlService ranks No. 2 among Analyst Picks with strong stock buyback activity. By Joel Kornblau, Editor, The Online Investor, Tuesday, October 27, 2026, 2:19 PM ET ExlService Holdings Inc. (EXLS) ranked No. 2 in a screen combining strong stock buyback activity with favorable brokerage analyst recommendations. The screen, compiled by The Online Investor, included companies that had repurchased shares equal to at least 5% of their outstanding stock over the trailing 12 months. Eligible stocks were then ranked by their average analyst recommendation. What the buyback screen shows. ExlService's position on the list reflects two separate observations: substantial repurchases and a comparatively favorable average analyst rating. Together, they indicate that the company has committed significant capital to buying its shares and that analysts covered by the screen viewed the stock favorably. Neither observation, on its own, establishes that the shares were undervalued. How repurchases affect shareholders. A buyback can increase earnings per share if it reduces the number of shares outstanding and earnings remain unchanged. That benefit depends on the net change in share count: stock-based compensation, option exercises, or other share issuance can offset shares repurchased. A screen measuring shares bought back therefore does not necessarily measure the reduction in shares outstanding. The price paid also matters. Repurchases made below a company's intrinsic value can benefit continuing shareholders; purchases at an excessive price can diminish value even if earnings per share rise. The source of funding and the demands on the company's cash flow are important as well. For ExlService, assessing the buyback alongside operating performance, debt, and other uses of capital provides a fuller picture than the repurchase rate alone. EXLS price performance in context. ExlService provides data analytics and digital operations services. The three-month chart below compares EXLS with Visa Inc. (V) and Mastercard Inc. (MA). Those companies have different business models, so the comparison illustrates share-price performance rather than a direct operating peer relationship. EXLS's ranking identifies it as a company where sizable repurchases coincide with favorable analyst sentiment. Whether those buybacks create lasting value depends chiefly on the purchase price, the resulting net share count, and the returns available from alternative uses of capital. To put this move in context, compare it with the stocks featured in Current Top Analyst Picks of the S&P 500. How to read broker darling screens and valuation. Broker darling stories highlight stocks that analysts currently favor within a large-cap or dividend-oriented screen. Valuation context helps show whether a stock looks inexpensive because fundamentals are strong or because the market is pricing in risk. The signal is most useful when analyst support is reviewed with valuation, earnings expectations, dividend quality, and business fundamentals. Investors should treat the valuation angle as context rather than a standalone signal.
iMerit, an EXL company, has launched iMerit Scholars, a platform to manage hundreds of thousands of global domain experts who fine-tune, evaluate and validate generative AI models. It is the first major launch since EXL acquired iMerit in July. The platform lets iMerit recruit, onboard, assign, pay, and retain experts at scale. It runs on iMerit's Ango Hub and uses Trolley for global payments and compliance. The Scholars programme already includes more than 30,000 vetted professionals from 118 countries, covering 106 languages and fields such as medicine, finance, and agriculture. The platform matches them to projects by specialisation. "We need people who are knowledgeable enough not just to teach models, but to prove them wrong and correct them," said Radha Basu, executive vice president and head of iMerit at EXL.
Reducing medical claims review time with AI on AWS: The EXL Medical IDP solution. Original Source AWS Machine Learning by Anutosh EXL built an AI-powered Medical intelligent document processing (IDP) solution on AWS, combining IDP with domain-specific large language models on Amazon SageMaker and Amazon Bedrock to extract, summarize, and query medical records at enterprise scale and cut claims review time f EXL built an AI-powered Medical intelligent document processing (IDP) solution on AWS, combining IDP with domain-specific large language models on Amazon SageMaker and Amazon Bedrock to extract, summarize, and query medical records at enterprise scale and cut claims review time from over 100 minutes per case. Original Content Credit This summary is sourced from AWS Machine Learning. For the complete article with full details, research data, and author insights, please visit the original source.