Top Data Science Jobs in Delhi

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 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.

As a Product Researcher, you'll plan and conduct user research, deliver insights for product decisions, and collaborate with teams to improve user experience across Coursera's enterprise workflows.

Own technical delivery of data pipelines and semantic models for Power BI, ensuring performance and governance while working with stakeholders.

As a Product Manager for Asia at Jeff, you will oversee Asia-based platforms, manage product strategies, enhance user experience, and launch new markets, including an AI Financial Companion app.

Manage marketing activities across multiple Asian countries, driving user growth, improving retention, and embedding AI in marketing processes.

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

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

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.

Design, test, and optimize prompts for AI systems, analyze performance, collaborate with teams, and communicate findings effectively to stakeholders.

Lead AI and data innovation by developing ML models, optimizing data systems, and mentoring junior team members in a collaborative team environment.

The Principal Engineer, Data Science will utilize advanced data science techniques and cloud solutions to design and implement predictive models, collaborate with cross-functional teams, and ensure adherence to best practices in data architecture and machine learning.

The Principal Engineer, Data Science role involves leading data science projects and providing strategic insights using extensive IT experience.

The Senior Staff Engineer, Data Science role involves guiding team direction, solving complex challenges for clients, and leveraging technical expertise to innovate solutions.

The Associate Principal Engineer, Data Science will design data solutions, focus on predictive modeling, optimize data applications, and oversee collaborative technical design processes.

As a Product Engineer, you will ensure quality and usability of geospatial AI tools, design test plans, validate software, and document technical processes.

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 Director of Data Science & Automation will lead teams in developing AI/ML solutions, influence data strategy, and deliver impactful insights, requiring extensive experience in data science and leadership.

Lead development of AI accelerators and ML models for sustainability and safety. Engage stakeholders, mentor teams, and ensure ethical AI practices.

Join a talent network for upcoming opportunities in product management and engineering at Resilinc, focusing on innovative supply chain solutions.