Top Data Science Jobs in Bengaluru, KA
Manager, Data Science & Analytics role at TransUnion SSPL India requiring at least 7 years of professional experience in data science roles, expertise in Python or R, proficiency in SQL, Hive, and Spark, and advanced knowledge of modeling techniques. Bachelor's degree in a quantitative field is required, with a preference for a Master's degree. Familiarity with the Indian financial services industry and credit bureau data is preferred.
Join Novo Nordisk as an Advanced Data Scientist in the Finance Global Business Services department. Design and deploy machine learning models, monitor performance, write efficient code, leverage big datasets, and share insights with stakeholders. Minimum 5-6 years of experience with advanced analytics and expertise in Python, R, Databricks, Snowflake, and Power BI required.
Seeking a skilled Senior Data Scientist (Prompt Engineer) to design prompts for Large Language Models, enhance model responses, develop AI interactions, collaborate with teams, and stay updated with AI technologies. Requires Bachelor's degree in computer science, 7-8 years of relevant experience, proficiency in Prompt Engineering, programming languages like Python, Java, or C++, and knowledge of AI technologies and NLP.
Looking for a junior Data Science developer proficient in Python, R, Excel, and SQL to build Analytics for Data Science applications. Responsibilities include developing and implementing Data Science product components and troubleshooting application codes.
Seeking a skilled Data Scientist (AI Vector DB Engineer) to design, implement, and optimize vector databases for high-performance, large-scale data processing and retrieval. Required 7-8 years of relevant experience in vector DB with a total of 10 years experience. Must have a deep understanding and hands-on experience with vector databases and strong programming skills in Python, C++, or Java.
Looking for a talented Staff Data Scientist with expertise in Natural Language Processing to develop machine learning models and drive forecasting capabilities for key revenue metrics.
Lead Data Scientist role focusing on GenAI applications in employee engagement, developing cutting-edge AI/ML solutions, building conversational servicebots, and analyzing time series data for anomalous behavior.
Senior Data Scientist role focused on building scalable data products and providing customer experience insights. Utilizing diverse data sources, Generative AI models, and collaborating on innovative data science projects. Mentoring junior data scientists and contributing to the development of core data capabilities at Vista.
Featured Jobs
The Sr. Data Scientist II, Personalization Data Science role at Visa involves designing and developing personalization models and signals to enhance AI products and services on a global scale. The focus is on creating personalized customer experiences and driving value for the payments ecosystem.
As a Lead Data Scientist at Freshworks, you will help identify and solve business problems effectively using Machine Learning techniques. You will collaborate with product and business teams, define target metrics, and design intelligent systems. The role involves working on Big Data pipelines and ensuring system scalability and performance.
Freshworks is seeking a Lead Data Scientist with expertise in Natural Language Processing (NLP) and advanced AI techniques to drive the development of cutting-edge solutions involving retrieval-augmented generation, large language models, and agentic AI for the innovative bots platform.
Seeking an experienced Advanced Analytics Model Developer to develop, implement, and enhance advanced analytics models for data-driven decision-making and risk management within the Wealth and Private Banking sector. Key responsibilities include model development, data analytics and insights, stakeholder engagement, and collaboration and innovation.
Lead Data Scientist role focusing on GenAI (Generative Artificial Intelligence) at Freshworks. Responsibilities include strategic collaboration, metric definition, system design, big data processing, ML/AI architecture, and end-to-end ML pipelines.
The Manager, Data Science at Epsilon is responsible for managing analytic initiatives from conception to completion, providing actionable results and insights to clients. They work with Data Scientists and oversee delivery from multiple client accounts.
The Manager, Data Science at Epsilon is responsible for leading data science initiatives from conception to completion, delivering actionable insights to clients, and managing multiple projects simultaneously. They work closely with Data Scientists to drive strategic decision-making using analytics and data science techniques.
As a Senior Staff Engineer Data Scientist at Freshworks, you will lead efforts in pioneering innovative applications of data science and machine learning in employee engagement, focusing on GenAI. Responsibilities include strategic collaboration, metric definition, intelligent system design, big data processing, ML/AI architecture, and end-to-end ML pipelines.
Demonstrates ability to extensively use and apply data science principles, methods, theories, and concepts to assignments where precedents may not exist. Provides solutions to a wide range of difficult problems through design and execution of data science research. Makes significant contributions to the exploration, refinement, and deployment of data science solutions.
Develop and maintain Business Intelligence / Analytics solutions, design and implement BI solutions, collaborate with stakeholders to establish scalable data flow architecture, deliver self-service solutions for global community, utilise ETL tools for data extraction
Translate business requirements to conceptual, logical, and physical data models. Work with stakeholders to ensure data quality and governance. Utilize SQL, Python, Scala for querying and data manipulation. Experience in ETL/ELT, entity relationship data modeling, and data warehouses.
Join Oportun's world-class team of Data Scientists to develop and enhance scoring risk for underbanked consumers using machine learning and statistical modeling. Responsibilities include developing data products, building monitoring tools, and leading initiatives to drive business value. Qualifications include a Master's degree or PhD in a quantitative discipline and hands-on experience with machine learning techniques.
Lead the engineering of data models, work on architecture and design of data models, collaborate with various departments to drive requirements, develop processes across platforms and tools, analyze data, mentor team members, and drive best practices in data analytics and engineering.
As a Senior Data Engineer at Motive, you will be responsible for building data pipelines, designing data models, and working with multiple teams to deploy robust data operations. The role requires 6+ years of experience in Data Engineering and strong skills in SQL, Python, and modern data engineering technologies.
As a Data Modeler at Takeda, you will support the company's Vision and Data strategy by developing and evolving data models for analytics and operational systems. Responsibilities include creating data models, integrating data from various sources, optimizing performance, collaborating with stakeholders, and ensuring data accuracy and compliance.
Magna Global IT is seeking a talented Data Scientist to support manufacturing divisions in applying industry-leading analytical methodologies for predictive quality, preventive maintenance, demand forecasting, and Smart Factory initiatives. The ideal candidate thrives in an entrepreneurial environment, is a strong problem-solver, and effectively communicates insights to both technical and non-technical audiences.
Demonstrates full use and application of data science principles, methods, and concepts. Provides solutions to difficult problems through data science research. Identifies novel approaches to data science solutions. Contributes to refining and deploying data science solutions.
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