Data Scientist Opportunities At Coface In Bengaluru jobs in Bengaluru – Browse 4,808 openings on RoboApply Jobs
Data Scientist Opportunities At Coface In Bengaluru jobs in Bengaluru
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Data Scientist Opportunities at Coface in Bengaluru
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Join Coface, a global leader in credit insurance and risk management, as a Data Scientist. In this role, you will harness the power of data to drive decision-making processes and enhance our offerings. The ideal candidate will engage in advanced analytics, machine learning, and data visualization to support our business objectives.
Join Coface, a global leader in credit insurance and risk management, as a Data Scientist. In this role, you will harness the power of data to drive decision-making processes and enhance our offerings. The ideal candidate will engage in advanced analytics, machine learning, and data visualization to support our business objectives.
We are seeking a passionate Data Scientist with a strong affinity for solving complex problems involving large datasets. The ideal candidate will have a solid understanding of machine learning algorithms and principles, complemented by exceptional organizational and interpersonal skills.Key Responsibilities:Analyze and extract meaningful insights from unstructured data while adhering to organizational guidelines.Collaborate in the development of components for frameworks or products.Utilize database management systems such as Oracle or MS SQL Server.Employ programming languages and tools including JQuery, JavaScript, HTML, CSS, SVN, and GIT.
Join our innovative team at Continental, where we are dedicated to delivering cutting-edge solutions in automotive technology and mobility. As a Data Scientist, you will leverage your analytical skills to extract insights from complex datasets, driving informed decision-making. You will collaborate with cross-functional teams to develop predictive models and data-driven solutions that enhance our products and services.
Version1 is seeking a Data Scientist based in Bengaluru. The position centers on transforming raw data into actionable insights that guide business decisions and strengthen client solutions. Collaboration with teams from various parts of the company is a key part of this role. Key Responsibilities Examine large and complex datasets to identify trends and patterns Create predictive models and develop solutions informed by data Partner with colleagues from multiple disciplines to influence project outcomes Use data insights to support strategic decisions and improve client offerings
Role Overview fuku is looking for a Data Scientist in Bengaluru, Karnataka. This role focuses on applying data analysis and machine learning methods to support decision-making across the company. The work centers on turning raw data into clear, useful insights that shape products and services.
Join Tide as a Senior Data Scientist and make an impact in the financial technology sector. In this role, you will leverage your expertise in data analytics and machine learning to drive insights and innovations that shape our product offerings.You will work collaboratively with cross-functional teams to solve complex business problems, develop predictive models, and enhance our data infrastructure. If you are passionate about data and want to be part of a dynamic team that values creativity and innovation, we want to hear from you!
At Valtech, we are pioneers in experience innovation, collaborating with some of the world's most esteemed brands. We offer an empowering workplace where our employees can thrive with ample opportunities for growth, a culture rooted in strong values, and the chance to influence the future of digital experiences.Your RoleAs a Senior Data Scientist, your passion for innovative experiences will drive you to push the limits of what is achievable. With over 4 years of professional expertise, a proactive mindset, and a commitment to creating significant changes, you will play a vital role in transforming industries.Why Join Us?We take pride in our:Innovative projects and industry-leading workCore values of share, care, and dareA vibrant workplace culture that encourages creativity and autonomyA global framework that facilitates seamless collaboration
Join our dynamic Data Science team at Euromonitor, where we analyze data from the rapidly evolving world of consumer goods. Our data is sourced from both standardized databases and online retail channels, encompassing various formats such as semi-structured text in multiple languages, images, and precise numeric values.We are currently seeking a talented Data Scientist to enhance our team. You will play a crucial role in developing new machine learning models and refining existing ones based on client feedback. Your innovative approach to data analysis will contribute to the creation of new products that meet our clients' needs.
Job Summary: We are seeking a highly skilled Staff Data Scientist with a deep understanding of the GenAI stack, particularly in audio and video generation models. In this role, you will leverage your strategic thinking abilities to independently manage and execute complex data projects, providing valuable insights and innovative solutions. The ideal candidate will demonstrate a solid grasp of data science principles and a history of utilizing data-driven strategies to propel business growth.About the Team: Join our dynamic, AI-focused team that thrives on creativity and innovation. We specialize in transforming ambitious ideas into impactful products, from rapid prototypes to scalable platforms that foster growth. Our mission is to empower creators by enhancing their narratives with cutting-edge AI systems. In this collaborative environment, you will explore the intersection of creativity and technology, crafting holistic experiences and experimenting with emerging technologies to redefine the landscape of entertainment content.
We are seeking exceptional individuals who excel in technical, communication, and analytical skills, demonstrating a proven ability to accomplish objectives swiftly and effectively. Our ideal team member is both a strategic thinker and a proactive implementer: passionate about sophisticated algorithms and mathematical accuracy, while equally motivated by the prospect of delivering impressive business results. A successful candidate will be adept at identifying potential bottlenecks, balancing business requirements against technical limitations, and fostering a culture of calculated risk-taking to optimize business advantages. They will prioritize effective cross-functional communication to keep all stakeholders informed about key decisions and project statuses. If you thrive on tackling complex challenges, wearing multiple hats, and collaborating with like-minded professionals, we encourage you to apply. By joining our team, you will benefit from a competitive salary, excellent benefits, a creative and comfortable work environment, and the thrilling opportunity to be part of a dynamic and rapidly expanding technology company.
About Us At Metropolis, we are pioneers in the realm of artificial intelligence, leveraging cutting-edge computer vision technology to create seamless, checkout-free experiences in everyday life. Our current focus is on revolutionizing parking, offering effortless solutions that allow consumers to simply 'drive in and drive out.' We aspire to redefine transactions in the physical world, matching the speed and convenience of online interactions. Our vision is to enhance daily experiences across living, working, and leisure, ultimately reclaiming the invaluable asset of time. Your Role We are in search of a driven and detail-oriented Data Scientist to join our expanding data team. In this pivotal position, you will be instrumental in deriving insights from extensive datasets, developing predictive models, and facilitating data-informed decision-making across various departments. Key Responsibilities Gather, process, and analyze substantial datasets from diverse sources Develop and implement machine learning models to address business challenges Design and conduct A/B tests and statistical analyses Work collaboratively with cross-functional teams (product, engineering, marketing) to establish analytics requirements Effectively communicate complex data insights in actionable formats to stakeholders Create dashboards and visualizations to track essential metrics Keep abreast of the latest trends and advancements in data science and AI
Role Overview Bosch Group is hiring a Data Scientist focused on Customer Quality in Bengaluru. This position centers on using data analytics and machine learning to improve both customer satisfaction and product quality. What You Will Do Apply data analytics and machine learning methods to identify trends and insights related to customer quality. Work with teams across different functions to support projects that raise the standard of Bosch products and services. Help ensure products and services consistently meet high quality expectations. Location This role is based in Bengaluru.
Join FiniteHR Consulting as an NLP Data Scientist and be at the forefront of artificial intelligence innovation. In this role, you will leverage your expertise in Natural Language Processing to develop cutting-edge solutions that drive business insights and enhance user experiences. Collaborate with cross-functional teams to analyze complex data sets and create models that understand and generate human language.
Cognite stands at the cutting edge of industrial digitalization, developing innovative AI and data solutions that address some of the most challenging and impactful problems globally. With our exceptional industrial background and a robust range of AI capabilities, including low-code AI agents, Cognite is propelling digital transformation to facilitate significant operational enhancements.Our ambitious goal is to unlock $100 billion in customer value by 2035, fundamentally transforming the way industries operate worldwide.
Role Overview Freshworks is looking for a Lead Data Scientist in Bengaluru. This role centers on guiding data-driven strategies and using advanced analytics to inform business decisions. The position offers the chance to work closely with teams across the company to build solutions that improve Freshworks products. What You Will Do Apply data analysis, machine learning, and statistical modeling to uncover insights that shape business direction Partner with cross-functional teams to design and implement new solutions Contribute to developing and enhancing Freshworks product offerings through data-driven approaches
Full-time|On-site|Bengaluru, Karnataka, India; Hyderabad, Telangana, India
Join Zeta Global as a Senior Data Scientist. We are in search of a seasoned professional to enhance our Machine Learning team. In this role, you will be pivotal in designing, building, and scaling machine learning solutions that drive marketing intelligence, campaign optimization, and overall business performance.Your responsibilities will encompass the entire machine learning lifecycle, from data engineering and feature development to model deployment and performance monitoring, all within a cloud-based, distributed environment.
Join us at Jobs for Humanity as a Lead Data Scientist, where you will have the opportunity to leverage data-driven insights to empower diverse communities. We are committed to creating an inclusive environment that welcomes individuals with disabilities.In this pivotal role, you will lead data analysis and modeling efforts, driving innovative solutions that make a positive impact. Collaborate with cross-functional teams to translate complex data into actionable strategies that align with our mission of fostering equality in the workplace.
We are seeking an accomplished Lead Data Scientist with a strong focus on solution development and algorithm creation in machine learning. Proficiency in Python and SQL is essential for this role.Key Responsibilities:Conduct thorough analyses on extensive datasets, including both first-party and third-party customer information, to deliver high-quality and statistically significant insights.Lead, manage, mentor, and train a team of 2 to 5 Data Scientists, including both junior and senior levels.Oversee the complete implementation of marketing machine learning models, such as customer segmentation, propensity modeling, and customer lifetime value (CLTV) analysis.Demonstrate expertise in large-scale distributed databases and computing systems (e.g., Hadoop, DataBricks).Utilize advanced programming skills in Python/Pyspark.Possess a solid background in SQL, with experience being a significant advantage.Exhibit hands-on experience with machine learning and statistical techniques, including logistic regression, decision trees, random forests, and K-means clustering.Experience with marketing machine learning models will be considered a plus.Deep knowledge of machine learning frameworks, particularly Spark and MLlib, is highly desirable.
Company OverviewCommerceIQ is at the forefront of transforming digital commerce through its AI-driven platform which empowers brands to optimize their online sales strategies. Our comprehensive eCommerce management solutions enable brands to make informed, swift decisions that capitalize on digital shelf insights, enhance retail media ROI, and drive incremental sales across the globe's largest marketplaces. With partnerships spanning over 900 retailers, our platform supports more than 2,200 leading brands in efficiently managing marketing, supply chain, and sales operations to successfully expand their market share in over 50 countries. Notably, 10 of the top 12 CPG brands, including Coca-Cola, Nestle, Colgate-Palmolive, and Mondelez, have chosen to collaborate with us. Having secured over $200M in funding from premier investors such as SoftBank, Insight Partners, and Madrona, we are well-positioned for continued growth. Discover more at commerceiq.ai.
About Euromonitor InternationalEuromonitor International is a global leader in data analytics and market research, providing comprehensive insights into markets, industries, economies, and consumer behavior. We deliver unparalleled data on thousands of products and services, establishing ourselves as the primary resource for organizations aiming for growth. With our insights, clients are empowered to make informed, strategic decisions confidently.About the RoleAs a Finance Data Scientist, you will play a pivotal role in transforming how Finance, Operations, and Commercial teams utilize data to inform decision-making processes. This hybrid position merges deep financial expertise with advanced analytics, data modeling, and visualization skills. Your work will support both structured reporting and intricate, ad hoc problem-solving, ensuring the organization has precise, trustworthy, and forward-looking insights.You will collaborate closely with various teams including FP&A, Finance, Data Engineering, Data Product Management, HR/Reward, Sales Operations, and senior business leaders. A significant aspect of this role is to modernize financial reporting, enhance forecasting capabilities, and develop scalable analytical products that improve business understanding. This position is vital in connecting Finance with Technology and Data teams, guaranteeing that financial logic, controls, and definitions are seamlessly integrated into data products and reporting systems. You will need to be a confident presenter, capable of communicating effectively and gaining buy-in from a diverse range of stakeholders.Key ResponsibilitiesLead and execute financial analyses, modeling, and scenario planning.Support FP&A cycles, including budgeting, forecasting, and performance evaluations.Develop and refine Power BI dashboards (utilizing Power Query, DAX, and advanced data modeling) that serve as authoritative sources across revenue, cost, margin, headcount, and operational KPIs.Create predictive and statistical models (e.g., regression, classification, anomaly detection, clustering) to enhance forecasting accuracy and operational performance.Translate business rules and financial logic into robust, governed data models while embedding reconciliation processes and financial controls within data pipelines.Work closely with FP&A, Finance, Data Engineering, Data Product Management, HR/Reward, Sales Operations, and senior leaders on impactful analytical projects and ad hoc problem-solving initiatives.Automate reporting refreshes and pipelines, streamlining manual reporting processes into reliable and repeatable systems.
Join Coface, a global leader in credit insurance and risk management, as a Data Scientist. In this role, you will harness the power of data to drive decision-making processes and enhance our offerings. The ideal candidate will engage in advanced analytics, machine learning, and data visualization to support our business objectives.
We are seeking a passionate Data Scientist with a strong affinity for solving complex problems involving large datasets. The ideal candidate will have a solid understanding of machine learning algorithms and principles, complemented by exceptional organizational and interpersonal skills.Key Responsibilities:Analyze and extract meaningful insights from unstructured data while adhering to organizational guidelines.Collaborate in the development of components for frameworks or products.Utilize database management systems such as Oracle or MS SQL Server.Employ programming languages and tools including JQuery, JavaScript, HTML, CSS, SVN, and GIT.
Join our innovative team at Continental, where we are dedicated to delivering cutting-edge solutions in automotive technology and mobility. As a Data Scientist, you will leverage your analytical skills to extract insights from complex datasets, driving informed decision-making. You will collaborate with cross-functional teams to develop predictive models and data-driven solutions that enhance our products and services.
Version1 is seeking a Data Scientist based in Bengaluru. The position centers on transforming raw data into actionable insights that guide business decisions and strengthen client solutions. Collaboration with teams from various parts of the company is a key part of this role. Key Responsibilities Examine large and complex datasets to identify trends and patterns Create predictive models and develop solutions informed by data Partner with colleagues from multiple disciplines to influence project outcomes Use data insights to support strategic decisions and improve client offerings
Role Overview fuku is looking for a Data Scientist in Bengaluru, Karnataka. This role focuses on applying data analysis and machine learning methods to support decision-making across the company. The work centers on turning raw data into clear, useful insights that shape products and services.
Join Tide as a Senior Data Scientist and make an impact in the financial technology sector. In this role, you will leverage your expertise in data analytics and machine learning to drive insights and innovations that shape our product offerings.You will work collaboratively with cross-functional teams to solve complex business problems, develop predictive models, and enhance our data infrastructure. If you are passionate about data and want to be part of a dynamic team that values creativity and innovation, we want to hear from you!
At Valtech, we are pioneers in experience innovation, collaborating with some of the world's most esteemed brands. We offer an empowering workplace where our employees can thrive with ample opportunities for growth, a culture rooted in strong values, and the chance to influence the future of digital experiences.Your RoleAs a Senior Data Scientist, your passion for innovative experiences will drive you to push the limits of what is achievable. With over 4 years of professional expertise, a proactive mindset, and a commitment to creating significant changes, you will play a vital role in transforming industries.Why Join Us?We take pride in our:Innovative projects and industry-leading workCore values of share, care, and dareA vibrant workplace culture that encourages creativity and autonomyA global framework that facilitates seamless collaboration
Join our dynamic Data Science team at Euromonitor, where we analyze data from the rapidly evolving world of consumer goods. Our data is sourced from both standardized databases and online retail channels, encompassing various formats such as semi-structured text in multiple languages, images, and precise numeric values.We are currently seeking a talented Data Scientist to enhance our team. You will play a crucial role in developing new machine learning models and refining existing ones based on client feedback. Your innovative approach to data analysis will contribute to the creation of new products that meet our clients' needs.
Job Summary: We are seeking a highly skilled Staff Data Scientist with a deep understanding of the GenAI stack, particularly in audio and video generation models. In this role, you will leverage your strategic thinking abilities to independently manage and execute complex data projects, providing valuable insights and innovative solutions. The ideal candidate will demonstrate a solid grasp of data science principles and a history of utilizing data-driven strategies to propel business growth.About the Team: Join our dynamic, AI-focused team that thrives on creativity and innovation. We specialize in transforming ambitious ideas into impactful products, from rapid prototypes to scalable platforms that foster growth. Our mission is to empower creators by enhancing their narratives with cutting-edge AI systems. In this collaborative environment, you will explore the intersection of creativity and technology, crafting holistic experiences and experimenting with emerging technologies to redefine the landscape of entertainment content.
We are seeking exceptional individuals who excel in technical, communication, and analytical skills, demonstrating a proven ability to accomplish objectives swiftly and effectively. Our ideal team member is both a strategic thinker and a proactive implementer: passionate about sophisticated algorithms and mathematical accuracy, while equally motivated by the prospect of delivering impressive business results. A successful candidate will be adept at identifying potential bottlenecks, balancing business requirements against technical limitations, and fostering a culture of calculated risk-taking to optimize business advantages. They will prioritize effective cross-functional communication to keep all stakeholders informed about key decisions and project statuses. If you thrive on tackling complex challenges, wearing multiple hats, and collaborating with like-minded professionals, we encourage you to apply. By joining our team, you will benefit from a competitive salary, excellent benefits, a creative and comfortable work environment, and the thrilling opportunity to be part of a dynamic and rapidly expanding technology company.
About Us At Metropolis, we are pioneers in the realm of artificial intelligence, leveraging cutting-edge computer vision technology to create seamless, checkout-free experiences in everyday life. Our current focus is on revolutionizing parking, offering effortless solutions that allow consumers to simply 'drive in and drive out.' We aspire to redefine transactions in the physical world, matching the speed and convenience of online interactions. Our vision is to enhance daily experiences across living, working, and leisure, ultimately reclaiming the invaluable asset of time. Your Role We are in search of a driven and detail-oriented Data Scientist to join our expanding data team. In this pivotal position, you will be instrumental in deriving insights from extensive datasets, developing predictive models, and facilitating data-informed decision-making across various departments. Key Responsibilities Gather, process, and analyze substantial datasets from diverse sources Develop and implement machine learning models to address business challenges Design and conduct A/B tests and statistical analyses Work collaboratively with cross-functional teams (product, engineering, marketing) to establish analytics requirements Effectively communicate complex data insights in actionable formats to stakeholders Create dashboards and visualizations to track essential metrics Keep abreast of the latest trends and advancements in data science and AI
Role Overview Bosch Group is hiring a Data Scientist focused on Customer Quality in Bengaluru. This position centers on using data analytics and machine learning to improve both customer satisfaction and product quality. What You Will Do Apply data analytics and machine learning methods to identify trends and insights related to customer quality. Work with teams across different functions to support projects that raise the standard of Bosch products and services. Help ensure products and services consistently meet high quality expectations. Location This role is based in Bengaluru.
Join FiniteHR Consulting as an NLP Data Scientist and be at the forefront of artificial intelligence innovation. In this role, you will leverage your expertise in Natural Language Processing to develop cutting-edge solutions that drive business insights and enhance user experiences. Collaborate with cross-functional teams to analyze complex data sets and create models that understand and generate human language.
Cognite stands at the cutting edge of industrial digitalization, developing innovative AI and data solutions that address some of the most challenging and impactful problems globally. With our exceptional industrial background and a robust range of AI capabilities, including low-code AI agents, Cognite is propelling digital transformation to facilitate significant operational enhancements.Our ambitious goal is to unlock $100 billion in customer value by 2035, fundamentally transforming the way industries operate worldwide.
Role Overview Freshworks is looking for a Lead Data Scientist in Bengaluru. This role centers on guiding data-driven strategies and using advanced analytics to inform business decisions. The position offers the chance to work closely with teams across the company to build solutions that improve Freshworks products. What You Will Do Apply data analysis, machine learning, and statistical modeling to uncover insights that shape business direction Partner with cross-functional teams to design and implement new solutions Contribute to developing and enhancing Freshworks product offerings through data-driven approaches
Full-time|On-site|Bengaluru, Karnataka, India; Hyderabad, Telangana, India
Join Zeta Global as a Senior Data Scientist. We are in search of a seasoned professional to enhance our Machine Learning team. In this role, you will be pivotal in designing, building, and scaling machine learning solutions that drive marketing intelligence, campaign optimization, and overall business performance.Your responsibilities will encompass the entire machine learning lifecycle, from data engineering and feature development to model deployment and performance monitoring, all within a cloud-based, distributed environment.
Join us at Jobs for Humanity as a Lead Data Scientist, where you will have the opportunity to leverage data-driven insights to empower diverse communities. We are committed to creating an inclusive environment that welcomes individuals with disabilities.In this pivotal role, you will lead data analysis and modeling efforts, driving innovative solutions that make a positive impact. Collaborate with cross-functional teams to translate complex data into actionable strategies that align with our mission of fostering equality in the workplace.
We are seeking an accomplished Lead Data Scientist with a strong focus on solution development and algorithm creation in machine learning. Proficiency in Python and SQL is essential for this role.Key Responsibilities:Conduct thorough analyses on extensive datasets, including both first-party and third-party customer information, to deliver high-quality and statistically significant insights.Lead, manage, mentor, and train a team of 2 to 5 Data Scientists, including both junior and senior levels.Oversee the complete implementation of marketing machine learning models, such as customer segmentation, propensity modeling, and customer lifetime value (CLTV) analysis.Demonstrate expertise in large-scale distributed databases and computing systems (e.g., Hadoop, DataBricks).Utilize advanced programming skills in Python/Pyspark.Possess a solid background in SQL, with experience being a significant advantage.Exhibit hands-on experience with machine learning and statistical techniques, including logistic regression, decision trees, random forests, and K-means clustering.Experience with marketing machine learning models will be considered a plus.Deep knowledge of machine learning frameworks, particularly Spark and MLlib, is highly desirable.
Company OverviewCommerceIQ is at the forefront of transforming digital commerce through its AI-driven platform which empowers brands to optimize their online sales strategies. Our comprehensive eCommerce management solutions enable brands to make informed, swift decisions that capitalize on digital shelf insights, enhance retail media ROI, and drive incremental sales across the globe's largest marketplaces. With partnerships spanning over 900 retailers, our platform supports more than 2,200 leading brands in efficiently managing marketing, supply chain, and sales operations to successfully expand their market share in over 50 countries. Notably, 10 of the top 12 CPG brands, including Coca-Cola, Nestle, Colgate-Palmolive, and Mondelez, have chosen to collaborate with us. Having secured over $200M in funding from premier investors such as SoftBank, Insight Partners, and Madrona, we are well-positioned for continued growth. Discover more at commerceiq.ai.
About Euromonitor InternationalEuromonitor International is a global leader in data analytics and market research, providing comprehensive insights into markets, industries, economies, and consumer behavior. We deliver unparalleled data on thousands of products and services, establishing ourselves as the primary resource for organizations aiming for growth. With our insights, clients are empowered to make informed, strategic decisions confidently.About the RoleAs a Finance Data Scientist, you will play a pivotal role in transforming how Finance, Operations, and Commercial teams utilize data to inform decision-making processes. This hybrid position merges deep financial expertise with advanced analytics, data modeling, and visualization skills. Your work will support both structured reporting and intricate, ad hoc problem-solving, ensuring the organization has precise, trustworthy, and forward-looking insights.You will collaborate closely with various teams including FP&A, Finance, Data Engineering, Data Product Management, HR/Reward, Sales Operations, and senior business leaders. A significant aspect of this role is to modernize financial reporting, enhance forecasting capabilities, and develop scalable analytical products that improve business understanding. This position is vital in connecting Finance with Technology and Data teams, guaranteeing that financial logic, controls, and definitions are seamlessly integrated into data products and reporting systems. You will need to be a confident presenter, capable of communicating effectively and gaining buy-in from a diverse range of stakeholders.Key ResponsibilitiesLead and execute financial analyses, modeling, and scenario planning.Support FP&A cycles, including budgeting, forecasting, and performance evaluations.Develop and refine Power BI dashboards (utilizing Power Query, DAX, and advanced data modeling) that serve as authoritative sources across revenue, cost, margin, headcount, and operational KPIs.Create predictive and statistical models (e.g., regression, classification, anomaly detection, clustering) to enhance forecasting accuracy and operational performance.Translate business rules and financial logic into robust, governed data models while embedding reconciliation processes and financial controls within data pipelines.Work closely with FP&A, Finance, Data Engineering, Data Product Management, HR/Reward, Sales Operations, and senior leaders on impactful analytical projects and ad hoc problem-solving initiatives.Automate reporting refreshes and pipelines, streamlining manual reporting processes into reliable and repeatable systems.