About our Team: LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments
About our Team: LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business
Key Responsibilities Data Architecture: Design scalable distributed data processing systems. Pipeline Development: Build ETL/ELT pipelines for complex datasets. AI Integration: Implement and fine-tune generative AI capabilities. App Engineering: Develop backend services to expose data products. System Optimization: Improve code
Key Responsibilities Data Architecture: Design scalable distributed data processing systems. Pipeline Development: Build ETL/ELT pipelines for complex datasets. AI Integration: Implement and fine-tune generative AI capabilities. App Engineering: Develop backend services to expose data products. System Optimization: Improve code
Work Flexibility: Hybrid What you will do- Translate stakeholder requirements to potential AI & data science solutions independently. Contribute to discussions on identifying opportunities where machine learning can be applied to real-world business opportunities with key stakeholders.
About our Team: LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business
About our Team: LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business
Data Scientist Description - Job Summary • This role is responsible for analyzing and interpreting complex data sets using statistical techniques to identify trends, patterns, and insights that can be used to form business decisions and improve organizational performance.
This is where your work makes a difference. At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in
This is where your work makes a difference. At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in
Job description - Data Scientist Job Title: Data Scientist Experience Required: 4 Years to 6 Years Qualification: B.Tech / B.E. in Any Specialization, B.Sc in Mathematics, Artificial Intelligence and Data Science, Mathematics And Computer Applications, Statistics, Science, Artificial Intelligence, IT &
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments
GenAI - Data Science - Develop and evaluate LLM-powered solutions such as summarization, classification, extraction and conversational assistants - Design prompt strategies, RAG architectures, and fine-tuning/adapter approaches where appropriate - Apply NLP and ML methods: text classification,
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments
About G2 - The Company G2 is the worlds largest and most trusted software marketplace. When you join G2, you’re joining the industry’s leading team that helps businesses reach their peak potential by powering decisions and
Experience with Programming (Python, SQL, NoSQL, Spark) and ML tools and cloud technologies (AWS, Azure, GCP). Deep understanding of ML algorithms for common use cases in both structured and unstructured data systems. Experience with GenAI/ LLM tools (3-6
COMPANY OVERVIEW KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment
COMPANY OVERVIEW KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments