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Candidate Experience Coordinator in Chennai

17 active opportunities · Updated October 2026

Explore current candidate experience coordinator jobs in Chennai. Filter by work mode, employment type, experience, department, date posted and distance.

W
📍 Chennai, India· Full-time
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WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: WPP is undertaking a major transformation of its enterprise Service Management capability, replacing its existing ServiceNow platform with a modern, AI-enabled service management platform that will establish a simpler, more standardised, and scalable global operating model. The current environment has evolved over many years and now requires a structured re-platforming programme to remove legacy complexity, reduce fragmentation, improve governance, and align more closely with industry best practice. This role will own the platform that underpins service management across Technology Operations and the wider Enterprise Technology team along with Finance, HR, and other corporate functions, making it a strategically important platform. Working with senior stakeholders and strategic implementation partners, you will define and deliver the future service management capability, ensuring the platform, operating model, governance, and service management processes support a modern, scalable, AI-enabled enterprise. The successful candidate will bring

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TI
📍 Chennai, Tamil Nadu, India· Full-time
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Quick readStrong listing-quality and freshness signals

TEGNA Inc. helps people thrive in their local communities by providing the trusted local news and services that matter most. With 64 television stations in 51 U.S. markets, TEGNA reaches more than 100 million people monthly across web, mobile apps, streaming, and linear television, while also maintaining a strong global presence in India with offices in Bangalore and Chennai that support technology, product, and business operations initiatives. Together, we are building a sustainable future for local news. About TEGNA TEGNA Inc. (NYSE: TGNA) helps people thrive in their local communities by providing the trusted local news and services that matter most. With 64 television stations in 51 U.S. markets, TEGNA reaches more than 100 million people monthly across the web, mobile apps, streaming, and linear television. Together, we are building a sustainable future for local news. Data Scientist TEGNA is seeking a highly skilled, innovative, and analytical Data Scientist to lead end-to-end development of advanced models and insights across our multi-platform media ecosystem spanning TV, digital, streaming, social, and mobile. This role is central to transforming large-scale viewership, content, and sales datasets into predictive models, optimization frameworks, and actionable insights that support content strategy, personalization, audience growth, and revenue performance. The ideal candidate is passionate about experimentation, machine learning, and building scalable data and ML solutions. You will collaborate with engineering,product, editorial, sales, and analytics teams to translate complex, ambiguous business challenges into measurable, data-driven outcomes. What You’ll Do Lead the full data science lifecycle: problem framing, hypothesis development, feature engineering, model development, validation, and deployment planning. Develop and operationalize machine learning models across forecasting, personalization, c

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