Top Data Science Jobs in Chennai

The Account Manager will develop data science solutions, lead sales presentations, foster client relationships, and communicate analytical insights.

Lead and manage customer analysis, mentor analysts, apply data science methods, integrate datasets, and communicate insights to clients.

As a Pre Sales Solutions Engineer, you will oversee the technical sales process, design solutions, present products to clients, and advocate for customer needs with teams and management.

As a Senior Product Manager for lending, you will shape product strategies, manage roadmaps, conduct market analysis, and oversee product development to enhance lending services in emerging markets.

This role involves developing data science solutions for clients, leading sales meetings, setting team objectives, and building client relationships to enhance business value.

The Vice President Client and Product Controls is responsible for assessing and improving internal controls to mitigate operational, financial, and reputational risks, while collaborating with stakeholders and leading governance forums.

Lead customer analysis, manage a team of analysts, apply data science methods, and independently deliver insights to clients.

As a Product Manager, you'll lead Lower's AI initiatives, shaping user experiences, collaborating across teams, driving delivery, and iterating based on performance data and user insights.

Lead the development of advanced data science models and algorithms, collaborate with stakeholders, drive best practices, ensure data quality, and mentor junior scientists.

Lead the development of core platform features, ensuring a user-centric experience for data scientists and analysts. Collaborate with teams to align product strategy with business goals, focusing on feature enhancement and stakeholder communication.

Develop and design learning paths and courses in various technical domains, authoring materials and assessments while collaborating with team members.

The Account Manager will develop data-driven solutions, lead sales meetings, set team objectives, and foster client relationships to drive growth.

Lead the end-to-end data science pipeline, develop AI/ML models, collaborate with engineering teams, and engage business users to translate complex problems into solutions.

As a Sr. Data Scientist, you will work with large datasets, implementing ETL and machine learning pipelines while improving data quality and analyzing algorithms.

The role involves designing and implementing predictive models using machine learning, collaborating with stakeholders, and analyzing data to drive business strategies.

Lead a data science team, managing projects and technical guidance while ensuring best practices in machine learning and model deployment.

Lead and develop a data science team, manage projects, and provide technical guidance in model selection and implementation for ML solutions.

Deliver compelling presentations and host discussions on emerging AI topics, engaging with senior leaders to translate AI concepts into strategic insights.

The Senior Data Scientist will enhance the predictive modeling capabilities of Lyric's platform, focusing on machine learning and statistical methods for supply chain optimization.

Lead a team of engineers in developing financial services, collaborating with stakeholders to build effective systems, and fostering a culture of innovation and excellence.

The role involves providing advanced analytics and data science insights to sales, developing predictive models, collaborating on AI use cases, and driving ML product development.

The role involves designing, developing, and deploying machine learning models for AI-driven banking solutions. Responsibilities include understanding requirements, coordinating application development, and leading user acceptance tests.

Design and develop scalable applications on Azure, collaborating with teams to meet business needs while mentoring junior engineers and ensuring cloud security.

The Senior Account Manager will develop and implement machine learning models, collaborate with stakeholders, and drive data-driven business strategies to enhance decision-making.

Lead and manage customer analysis, mentor analysts, apply data science methods to deliver insights, and manage data science projects for clients.