Top Data Science Jobs in India

The Manager of Product Management will develop product vision and strategy, collaborate with cross-functional teams on AI/ML platform products, and maintain agile processes to enhance business and customer outcomes.

The Senior Engineer, CAD will innovate memory and storage solutions, focusing on AI systems, data science, and advanced technologies in semiconductor domains.

The role oversees global drug development consulting, leading client engagements and teams while promoting scalable practices and business growth in the life sciences sector.

Design and implement technical features, collaborate with clients, write production-ready code, ensure quality deliverables, mentor team members, and implement ML models on large scale.

Lead and manage a team of Machine Learning Engineers and Data Scientists to develop ML solutions that enhance user engagement and support business objectives in digital entertainment.

The Manager of Product Management for AI/ML Model Governance is responsible for defining product vision, collaborating with teams, managing backlogs, and ensuring customer-centric product development.

The Manager leads complex technology projects in Data Science and AI/ML, managing delivery, risks, financials, and stakeholder collaboration.

The Lead Digital Product Manager will define and scale AI capabilities, manage product vision and delivery, drive customer-focused deployments, and establish governance for enterprise digital products.

This role involves developing credit risk management and business intelligence solutions through analytical consulting, requiring strong programming and managerial skills.

Lead the Data Science & Analytics team to create predictive solutions for the lending industry, enhancing business strategies and product offerings.

As an Industry 4.0 Analyst, you will work with Data Scientists and Engineers to implement AI-based solutions for cost reduction and operational impact across multiple business functions.

The Data Science Manager will lead AI/ML solution development for clients in Supply Chain & Manufacturing, mentor data scientists, and drive business development efforts.

Data Science Managers at ZS lead teams to design analytic techniques on complex datasets, drive client impact, and develop data science strategies. They provide thought leadership, mentor team members, and manage multiple projects simultaneously.

As a Principal Associate in Data Science, assess and challenge decision-making models, develop advanced modeling solutions, and collaborate cross-functionally to drive innovation and ensure compliance with regulatory standards.

Manage Data Science & Analytics team to create predictive components for analytical products. Develop solutions for clients, leveraging diverse data sources, while enhancing business strategies and communication with stakeholders.

The role involves developing smart manufacturing applications, deploying data science strategies, providing technical consulting, and analyzing large datasets using machine learning.

The Engineering Manager will lead AI & ML initiatives focused on data collection, overseeing technical projects and developing a high-performing team. Responsibilities include providing technical direction, mentoring staff, ensuring system reliability, and maintaining data integrity and security. The role requires expertise in NLP and data processing with an emphasis on collaborative leadership and continuous innovation.

Lead a team of machine learning engineers and data scientists to develop and deploy AI solutions in healthcare, optimizing workflows and model performance.

The role involves data analysis and machine learning in manufacturing, utilizing various data techniques, software development, and strong communication skills.

As a Data Engineer, you will analyze and enrich structured and unstructured data, enhance data quality, and develop insights for financial strategies.

The Technology Platform Engineer creates cloud environments, automates deployment pipelines, and engineers secure AI solutions using Oracle technologies.

Develop custom Oracle AI solutions using PLSQL, implementing end-to-end processes and secure deployments while optimizing production operations.

Develop custom software solutions and AI applications using Oracle SCM Transportation Management and OCI, ensuring high performance and scalability.

Develop custom software solutions and AI-native Oracle applications tailored to business needs, with a focus on Oracle HCM Cloud Core HR.

Develop custom software solutions using Oracle HCM Cloud and OCI AI services, enhance components, and ensure scalable deployments.