Data science is a relatively new field in tech that works across analytics, algorithms, statistical models, AI and data visualizations. Experts in the field are focused on creating systems to capture high-quality data through various means and using that information to discover business insights and, more recently, train AI and machine learning models. Below, we gathered some of the top data science companies in Chennai for those interested in the field — and many of them are on the hunt for top tech talent.
Data Science Companies in Chennai
- Oracle
- TransUnion
- Tiger Analytics
- Cloudera
- Alation
Top Data Science Companies in Chennai
FourKites is a logistics services and software provider. It offers SaaS tools for geolocation tracking, which it applies to fleets of cargo vehicles, ships, trains, planes and containers in order to optimize their movement through the global supply chain. FourKites’ data science initiatives include an AI and machine-learning-powered visibility platform called ETA for Air, which uses predictive visibility strategies to track air cargo.
TransUnion is a financial services company that collects customer data to provide creditworthiness assessment through credit scores. The company employs data scientists to fine-tune its scoring algorithm and provide additional services like business analytics and fraud monitoring.
Alation is a data intelligence platform headquartered in Silicon Valley, with an office in Chennai. Its products include a cloud analytics platform that tracks total active users, curated assets and more. Alation also helps clients create data processes, also known as governance, which help businesses collect, store and process digital information.
Oracle is a giant in cloud services, database solutions and development tools. By using data science components like collections and analytics, it can help customers develop better-informed products and actionable business insights. Additionally, Oracle developed MySQL, a popular tool used by data scientists to manage relational databases.
Digital technology and software consultancy TVS Next works with clients to build custom digital processes for their operations. Its focus on enterprise modernization includes developmental security operations in its data science services, which are used to drive automations and support cyber risk mitigation.
Cloudera is a hybrid data company that offers various enterprise solutions. For example, it enables clients to create custom large language models, or LLMs, using its cloud and data tools. Cloudera also offers a data mesh platform, which captures proprietary information from various cloud and on-premise providers, then stores it in a unified location.
Xebia is an information technology consulting firm that specializes in digital transformations. It works with top companies to increase their reliance on artificial intelligence and digital automations in their business processes. In addition to its direct work with clients, the company also operates the Xebia Data and AI Hub, a resource that facilitates training and upskilling in AI applications as well as data science services that rely on AI.
Applied Data Finance is a data and technology-based fintech company that uses AI to optimize its consumer lending services. Its mission is to provide a transparent financial service that offers fair terms, which it works toward by using algorithmic lending decisions rather than relying on human subjectivity. The company says it proudly provides loans to consumers who are considered “risky” by traditional financial institutions.
Tiger Analytics is a data company that can help scale AI and machine learning models and also provides analytics services. As part of its package of data science solutions, the company uses a mix of AI, forecasting and predictive analytics to provide businesses with informed insights.
CSC is a corporate administration specialist. It works with large and complex entities to provide comprehensive business process services as well as legal and tax consulting. The company’s internal use of data science entails analysis of large quantities of financial and administrative data, which it applies to predictive analytics protocols to generate insights.
