32 Data Science Jobs - Page 2

Senior Executive Planning, materials management Good Analtical skills & Excell skills Receiving,distribution of materials Materials Reconciliation reporting Collaborating & stock monitoring, GRN creation Will Responsible for managing the entire data packaging supply chain , data automation . Reconciliation , demand forcasting automation, Vendor management , Automation of key business meterics .

Project Role : DevOps Engineer Project Role Description : Responsible for building and setting up new development tools and infrastructure utilizing knowledge in continuous integration, delivery, and deployment (CI/CD), Cloud technologies, Container Orchestration and Security. Build and test end-to-end CI/CD pipelines, ensuring that systems are safe against security threats. Must have skills : Data Science Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a DevOps Engineer, you will be responsible for building and setting up new development tools and infrastructure. A typical day involves utilizing your e...

**Role Overview:** You are being sought by Chubb Life Global for the position of Head of Data Model & Design, where you will be responsible for designing and implementing end-to-end data solutions to support the organization's Azure-based data platform. Your primary focus will be on defining a Common Data Model (CDM) using industry standards like ACORD and ensuring optimization of data product models to meet business requirements. Your role will be crucial in driving data-driven decision-making across the organization. **Key Responsibilities:** - Lead the design and implementation of scalable, secure, and efficient data solutions for the Azure-based data platform using tools like Databricks ...

Role : Gen AI Engineer Location: AIA-Noida Exp: 3 to 12 years Job Description: Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models w...

As a Senior Data Engineer, you will be responsible for leading the design, development, and implementation of scalable data pipelines and ELT processes using tools such as Databricks, DLT, dbt, and Airflow. Your main responsibilities will include collaborating with stakeholders to understand data requirements, delivering high-quality data solutions, and optimizing existing data pipelines to ensure data quality, reliability, and performance. Additionally, you will develop and enforce data engineering best practices, mentor junior data engineers, and monitor and troubleshoot data pipeline issues to ensure minimal disruption to business operations. Qualifications: - Bachelor's degree in Managem...

CS is Hiring For Data Science Experience: 5- 10 Location: Kolkata & Hyderabad Role : Data Science Experience: 5-10 years of experience in data science, analytics, or a related field. Experience leading projects or teams is often required. Technical Skills: Programming Languages: Advanced proficiency in Python, R, or SQL. Machine Learning: Deep knowledge of a wide range of ML techniques and their practical applications and limitations (e.g., clustering, neural networks). Statistics: Strong grasp of advanced statistical concepts and their real-world application. Cloud Platforms: Hands-on experience with one or more major cloud platforms like AWS, Azure, or GCP, including their analytics servic...

What are we looking for A dynamic and energetic Subject Matter Expert (SME) tosupport reinsurance team in managing overall reinsurance activities with a highlevel of integrity, faster execution, respect for timeline and efficientinteraction with internal and external stakeholders. Competencies required 1. Domain knowledge (SME). 2. Customer orientation. 3. Creativity and Innovation. 4. Faster execution. 5. Decision Making. 6. Drive projects. 7. Collaboration with cross-functional team. What does the job entail Managing ReNova system, reinsurance accounting along withpreparation of reinsurance regulatory reports including but not limited to thefollowing activities 1. Understanding of various ...