Top Data Science Jobs in Bengaluru

The Data Scientist will deliver business insights for the Tax function at eBay through data science solutions, machine learning applications, and process automation. Responsibilities include partnering with teams to innovate, developing analytical processes, and performing data visualizations to enhance business decision-making.

The Data Scientist at Sabre applies statistical analysis and predictive modeling to optimize revenue performance and customer experience in the airline industry. This role involves creating data-driven models, collaborating with software engineers for implementation, and presenting insights to business stakeholders.

As a Senior Data Scientist at CommBank, you will design, develop, and deploy cutting-edge AI models, lead a team of data scientists, and collaborate with various stakeholders to implement data-driven solutions. Responsibilities include creating chatbots, utilizing advanced AI techniques, and presenting findings to non-technical stakeholders.

The Data Scientist role at Equifax involves designing and delivering analytical research and insights solutions for various clients. The position includes working with bureaus, building analytics capabilities, analyzing banking KPIs, and developing reporting systems while maintaining high-quality results under tight deadlines.

Join Equifax as a Data Scientist in the Banking and Lending Analytics group. Responsibilities include building custom risk models, collaborating with stakeholders, and utilizing advanced statistical and machine learning techniques to analyze complex data sets.

As a Data Scientist at Meesho, you will develop models, run experiments, improve product usability, understand reseller preferences, design discount programs, mentor junior data scientists, and more. Requires Bachelor's/Master's degree in computer science, 1-2 years of experience in a fast-paced organization, familiarity with Neural Networks, Machine Learning, SQL, R, Python, and strong analytical skills.

As a Data Scientist III, you will enhance data productivity, develop models, improve product usability, and mentor junior data scientists while collaborating with business stakeholders to turn data into actionable insights.

The Senior Data Scientist will analyze datasets to extract insights, collaborate with stakeholders for data-driven solutions, and develop machine learning models. Responsibilities include monitoring and improving model performance and communicating findings effectively to non-technical teams.

As a Full-Stack Lead Data Scientist at Kyndryl, you will develop and deploy end-to-end data science solutions, collaborate with data engineers and scientists, design machine learning models, develop APIs for integration, manage data integrity, and create advanced visualizations to support business decision-making.

The Sr Data Scientist will collaborate with various stakeholders to identify business opportunities and develop customized algorithms. Responsibilities include creating scalable optimization models, translating analytic insights into actionable recommendations, mentoring team members, and developing dashboards to present results.

The Senior Data Scientist will develop innovative data science solutions to address complex business problems, deliver end-to-end solutions using advanced ML algorithms on large datasets, and communicate effectively with diverse audiences. The role involves mentorship of junior staff and adherence to ethical practices.

As a Data Scientist, you will analyze television usage data, create custom analytical solutions, and communicate findings to stakeholders while managing projects within a team. The role involves statistical modeling, managing large data files, and developing innovative solutions in a media research context.

As a Staff Data Scientist, you will leverage machine learning solutions at Walmart scale, solve complex problems with data, collaborate across teams for impactful business solutions, and present actionable insights to drive business improvements.

The Associate Lead - Data & AI will drive innovation, solve complex problems, and support business growth by implementing AI solutions, managing data engineering tasks, and providing technical leadership. Responsibilities include building data pipelines, system integration, presales support, and educating teams on new tools and solutions.

The Sr. Data Scientist will manage the global rollout of the iDeal project, enhance the user support platform, apply AI in deal-making, analyze data from iDeal, and provide performance assessments while documenting best practices for data integration.

The Data Scientist will design and implement data-driven solutions using machine learning, analyze large datasets for business insights, and integrate data science solutions into products. The role involves working with cloud platforms and generative AI technologies.

The Principal Data Scientist will lead the development and optimization of deep learning models and AI solutions for food companies, utilizing advanced neural network architectures and integrating diverse data sources. Responsibilities include MLOps practices, GPU programming, and expertise in NLP, aiming to enhance product innovation through data-driven insights.