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Top Data Science Jobs in India
The role involves working on AI products and client solutions using machine learning engineering and data science tech stack. Key responsibilities include designing ML platforms, building advanced ML pipelines, collaborating with data scientists to create AI models, managing the complete ML lifecycle, and mentoring team members.
Lead Credit and Data Science functions for international markets. Develop risk models, credit policies, and innovative products to enhance customer experience and business growth. Collaborate with teams to adapt strategies based on market-specific data and consumer behavior.
Develop advanced and efficient algorithms, utilize statistical techniques, collaborate with stakeholders, assess emerging datasets and technologies.
The Credit Risk Innovation Associate will lead product development to create a modern platform for credit investment review, integrate credit risk models using various tech stacks, build analytical tools, and automate processes while ensuring effective collaboration across teams.
The Associate Data Scientist applies data science principles to solve problems by analyzing data from various sources. They demonstrate project management skills and contribute to the development of data science solutions. With limited supervision, they may lead small projects and report to a Data Science Manager or senior leader.
The Data Scientist/Sr. Data Scientist will utilize strong coding skills to manage and analyze large datasets. Responsibilities include advanced analytics, reporting, and contributing to sales and marketing projects while collaborating with teams to optimize solutions and mentor junior analysts.
The Manager, Data Science will lead the AI & ML Ops for products, managing deployment, performance, and optimization of AI systems while mentoring a team of AI professionals. The role involves strategic collaboration with technical and business teams, ensuring compliance with ethical standards and enhancing operational capabilities through innovation.
This role involves developing and implementing data science and machine learning methodologies to extract insights, enhance user experiences, optimize business outcomes, and collaborate with cross-functional teams while ensuring data quality and accuracy.
Featured Jobs
The Senior Software Engineer will act as the Finite Scheduling modeler for the Emerson RTMS system, collaborating with IT and business stakeholders to drive optimal solutions in planning processes while ensuring system support meets service level agreements.
The Lead Data Scientist at Kyndryl is responsible for developing predictive models and machine learning algorithms to analyze workforce needs, identifying skills gaps, and providing actionable insights to optimize hiring and upskilling. The role requires collaboration with data engineering and stakeholders to drive strategic decision-making through data visualization and continuous model refinement.
The Sr. Data Scientist will collaborate with business and technology partners to develop fraud detection solutions and management information systems. The role involves translating business problems into technical data challenges while maintaining oversight of Visa's Ecosystem Risk Programs. The position requires strong data science, software engineering skills, and experience in risk or fraud detection in payments.
The Data Science Associate Consultant at ZS is responsible for designing, developing, and executing high-impact analytics solutions for complex data sets. Responsibilities include staying updated with the latest AI research, implementing advanced deep learning models, collaborating with cross-functional teams, contributing to research projects, developing algorithms, and integrating engineering principles into data science workflows.
Develop advanced and efficient algorithms using statistical techniques, collaborate with clients to integrate analysis findings, assess emerging datasets and technologies, and contribute to problem-solving projects in a healthcare consulting firm.
Develop advanced and efficient statistically effective algorithms, utilize technical skills for data mining and analysis, collaborate with clients, and assess emerging datasets and technologies.
Develop advanced statistically effective algorithms, utilize technical skills for data analysis, collaborate with clients, assess emerging datasets and technologies.
The Principal Data Scientist at Visa will design and build advanced fraud detection solutions, manage data science projects, and translate business problems into technical solutions, all while collaborating with stakeholders to enhance the safety of Visa's payment ecosystem.
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The Manager of Field Engineering will lead a team of Solutions Architects focused on large enterprise customers in India, facilitating sales cycles for Data & AI solutions. Responsibilities include scaling the team, building a collaborative culture, coaching team members, enhancing effectiveness, and interfacing with C-suite stakeholders to promote Databricks' brand and solutions strategy.
The Manager of Data Science will provide analytics support, oversee multiple projects centered on marketing analytics, and influence strategic decision-making using data analysis techniques. Responsibilities involve delivering high-quality analytics solutions, leading internal customer relations, and fostering knowledge sharing initiatives within the organization.
The Senior Analyst at Novartis provides analytical support to internal customers to enable data-driven decision-making. Key duties include delivering complex analytical reports, managing project expectations, utilizing predictive analytics, and enhancing marketing strategies through data insights. The role also involves training support and improving process documentation.
The Senior Expert Data Science will manage complex business problems through data analysis, utilizing machine learning and statistical methods. Responsibilities include overseeing data lifecycle management, collaborating across teams for insights, budget management, and possibly leading a small team. The role involves continuous learning of new tools and technologies to enhance data practices and provide actionable business intelligence.
The Senior Manager of Data Science will lead a team focusing on leveraging data to enhance user experience and optimize operations. This role involves collaborating with various departments to identify use cases, analyze data patterns, develop models for business predictions, and drive data-oriented decision making within the company.
The Imagineer program offers a dynamic experience with exposure to data-related career tracks including Data Visualization, Decision Science, Data Science, and Data Engineering. Participants will complete assessments and interviews to be placed in one of these roles, where they'll deliver insights and solutions for clients using data analytics.
As an Engineering Manager for AI & Data Science at Cyara, you will lead and mentor a team, oversee AI and data science projects, and enhance product offerings through innovative solutions. Responsibilities include conducting performance reviews and supporting team development.
As an Engineering Manager at Dialpad, you will lead and nurture a globally distributed software engineering team focused on customer experience in AI-powered communication products. Responsibilities include team management, collaboration with product and design teams, defining product development priorities, and fostering a culture of trust and inclusion.
As a Data Analyst at Antarctica Global, you will assist in collecting, cleaning, and analyzing data to generate insights that drive business decisions. You will create data visualizations, reports, and dashboards, while collaborating with cross-functional teams to meet data requirements and improve data quality.
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