1506 Predictive Analytics Jobs - Page 22

About The Role : Job Title Workforce Management & Analytics, AVP LocationJaipur, India Role Description The Workforce Management and Analytics AVP has extensive hands-on experience of using HR databases and systems to design and build workforce-related reporting, analytics (descriptive and predictive), and forecasting (employee life-cycle changes, headcount, organizational structures, diversity, learning, performance management etc.) What well offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry rele...

Role & responsibilities -Represent Talent Acquisition in all forums/ seminars pertaining to process, compliance and audit -Perform other miscellaneous duties as required by management -Driving CI culture, implementing CI projects and innovation for withing the team Engaging with business & functional partners to understand business priorities, ask relevant questions and scope same into a analytical solution document calling out how application of data science will improve decision making - In depth understanding of techniques to prepare the analytical data set leveraging multiple complex data set sources - Building Statistical models and ML algorithms with practitioner level competency - Wri...

Job Overview: We are looking for a skilled Python and Data Science Programmer to develop and implement data-driven solutions. The ideal candidate should have strong expertise in Python, machine learning, data analysis, and statistical modeling. Key Responsibilities: Data Analysis & Processing: Collect, clean, and preprocess large datasets for analysis. Machine Learning: Build, train, and optimize machine learning models for predictive analytics. Algorithm Development: Implement data science algorithms and statistical models for problem-solving. Automation & Scripting: Develop Python scripts and automation tools for data processing and reporting. Data Visualization: Create dashboards and visu...

Key Responsibilities: Lead and mentor a team of data analysts to develop and maintain logistics data models and dashboards Design and implement ETL processes to integrate data from multiple sources, including TMS, WMS, and ERP systems Develop and optimize data models to support route optimization, fleet utilization, load balancing, and last-mile delivery performance Create interactive dashboards and reports to provide actionable insights for executive decision-making Collaborate with operations, transportation, and supply chain teams to identify key performance indicators (KPIs) and analytics opportunities Establish and enforce data governance standards to ensure accuracy and integrity of lo...

Role Overview: Join us as a Machine Learning/Artificial Intelligence Engineer, responsible for supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences. Key Responsibilities: - Good years of experience in IT with a background in Development, Machine Learning, and/or Data analysis. - Hands-on experience of NLP/AI/ML tools & technologies such as GPT, BERT, or other language models. - Experience in building GenAI appl...

As an Enterprise Data Architect or Data Modelling Lead at Qualcomm India Private Limited, you will play a critical role in shaping the future of data capabilities as part of the Enterprise Data Transformation program. Your primary responsibilities will include: - **Vision and Strategy**: - Define and lead the vision, strategy, and roadmap for the data platform to enable data platforms as the strategic enabler for AI. - **Relentless Execution of Enterprise Data Model Development**: - Rapidly deliver design and development of data models (functional, logical, physical) in advanced cloud-based solutions such as AWS-based Databricks platform ensuring seamless data integration, quality, complianc...

Role Overview: As a Managing Consultant in Business Experimentation at Mastercard, you will be part of the Advisors & Consulting Services group specializing in Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Your primary responsibility will be advising executives on business decisions using Mastercard's innovative predictive analytics SaaS platform, Test & Learn. By working closely with customers, you will identify key priorities, design and conduct business experiments to determine successful ideas, and provide guidance on deployment strategies. Key Responsibilities: - Lead client engagements in various industries and problem ar...

As an accomplished engineering leader with a passion for driving innovation and excellence in software development, you have the opportunity to join our team as the Director of Engineering. In this role, you will shape our technical strategy, lead engineering initiatives, and foster a culture of collaboration, innovation, and continuous improvement. **Key Responsibilities:** - Lead and mentor a team of engineers focused on developing and maintaining software products with an emphasis on quality and operational efficiency. - Execute the organization's technical vision, strategy, and roadmap by integrating AI-powered tools for enhanced quality assurance and test automation processes. - Champio...

Role Overview: As a highly skilled GenAI Sr Architect with 15+ years of strong AI/ML expertise and consulting experience, you will lead client engagements, identify AI/GenAI opportunities across business operations, customer experience, and new revenue streams. Your role involves working closely with stakeholders to design innovative solutions, engage in strategic discussions, support delivery teams, and collaborate with technical architects to ensure successful implementation. Key Responsibilities: - Engage with senior stakeholders across client organizations to understand business pain points and strategic goals - Identify opportunities where GenAI/AI/ML can create tangible business impact...

As a Senior Consultant (Project Lead) in the Talent Solutions Consulting practice, your role will be crucial in addressing people challenges through data, insight, and strategic approaches. Your primary responsibility will involve leading impactful projects focusing on compensation, rewards, and talent transformation. Your key responsibilities will include: - Developing talent strategies like organization design, digital transformation, performance management, and skill gap analysis. - Acting as a trusted advisor to clients, ensuring timely delivery and maintaining high-quality output. - Contributing to internal research, events, and whitepapers to demonstrate thought leadership. - Supportin...

As a key player in driving data-driven decision-making within the organization, you will take on the responsibility of leading analytics initiatives, developing business intelligence (BI) solutions, and providing actionable insights. Your primary focus will be on enhancing key performance indicators (KPIs) and overseeing sales and purchase efficiency programs. Your role will involve conducting data-driven deep-dive analysis on key KPIs to identify trends, patterns, and performance fluctuations, thus offering valuable insights. You will utilize descriptive, diagnostic, predictive, and prescriptive analytics to provide solutions and insights on business problems. Additionally, you will investi...

As a FINANCE ANALYTICS & REPORTING Senior Consultant at EY, you will be pivotal in delivering ANALYTICS & REPORTING solutions for clients. Your tasks will involve creating models, managing various data sets, uploading them into ANALYTICS & REPORTING, and demonstrating a solid functional business understanding. Collaboration with teams, estimation of project tasks, eliciting client requirements, designing applications, documenting designs, and providing end-user training will also be part of your responsibilities. To excel in this role, you are required to have a comprehensive understanding of Data & analytics, particularly in FP&A, Sales/Incentive Compensation Planning, or Supply Chain Plann...

Role Overview: You are an experienced and visionary Associate Lead AI/ML Engineer joining a fast-growing E-commerce team. Your role requires technical mastery and deep knowledge across AI/ML domains to design scalable, secure ML systems for real-world applications. In addition to contributing as a hands-on expert, you will help shape the AI strategy, mentor team members, and collaborate closely with stakeholders across technology and business functions. Key Responsibilities: - Architect, build, and deploy end-to-end ML systems at scale on cloud platforms such as AWS, GCP, and Azure. - Lead the technical design and evaluation of ML models and MLOps frameworks, ensuring alignment with business...

The job The Solution Consultant's primary responsibility is to participate in implementations of Predictive Analytics portfolio. This role will involve working under the direction of a Project Manager and Technical Lead to ensure customer satisfaction and an on-time / on-budget delivery. Key responsibilities Supports qualified business capture activities to include site visits, demonstrations, proof of concepts. Undertakes data preparation tasks under the guidance of the Project SME and/or technical lead. Contributes to technical project deliverables, taking responsibility of accuracy and flow of content. Operates independently based on high level work descriptions. Prioritizes activities ba...

5-8 years experience as a Python developer with experience in JAVA Full Stack Bachelors or Master’s degree in Computer Science, Engineering, Mathematics, or related field. Strong programming skills in Python, JAVA, C, C++ Understanding of semiconductor technologies, design & manufacturing processes. Experience developing the applications using Python, JAVA full stack, angular, html, php, java script, node js and other web designing tools. Strong knowledge and experience working with MySQL/Postgre databases. Strong understanding of software development practices, methodologies, and design techniques. Experience in Atlassian tool stack, CI/CD pipelines, Git/Bigbucket, Sonarcube and Artifactory...

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation. Keywords machine learning,data science,deep learning,natural language processing,predictive modeling,data analytics,predictive analytics,artificial intelligence*

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation. Keywords machine learning,data science,mentoring,python,deep learning,natural language processing,sql,neural networks,predictive modeling,r,computer vision,data analytics,predictive analytics,train...

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation. Keywords machine learning,data science,python,deep learning,NLP,sql,neural networks,predictive modeling,R,teaching,computer vision,data analytics,predictive analytics,tableau,data analysis,Artifici...

Role & responsibilities The Assistant Manager/Deputy Manager Business Analysis is responsible for solving unstructured business problems using advanced analytics, developing data-driven strategies to improve profitability and processes in the collections business , and presenting insights to global leadership. The role includes both technical analytics execution and strategic implementation ownership with VP-level stakeholder interaction. PRINCIPAL RESPONSIBILITIES Coach new team members on technical skills and business knowledge Develop and implement analytics best practices and knowledge management practices Makes recommendations to improve business profitability or processes. Estimate opp...

Job Descriptions: AI Agent Developer Roles Senior AI Agent Developer We are seeking a Senior AI Agent Developer with a strong technical background in AI, software engineering, and data analytics to build intelligent, autonomous multi-agent systems for real-world use cases. Key Responsibilities Research, design, and build custom LLM models tailored for specific business or domain-specific use cases. Perform data preprocessing, training, fine-tuning, and evaluation of LLMs using large-scale or proprietary datasets. Collaborate with data scientists and ML engineers to identify optimal architecture and training strategies. Optimize model performance and scalability for production deployment. Sta...

Havells considers Analytics & AI/ML to play a critical role in driving growth, in shaping consumer experience, sales optimization and cost savings. This role will require handling Big Data, support routine data analytics/data mining requests and drive predictive, AI/ML or advanced analytics projects for various Use Cases in Consumer or Sales Ops/Retail/SCM domain. The candidate should be passionate about analytics, Gen AI & be a self starter to build the business case & prove the value of analytics use cases within the organization. Key responsibilities: Analytics & Data Science – CX – Consumer & Marketing (Own) Manage & Enrich Big Data – Own Consumer Datamart (SVOC – 2Cr Records, 150+ attri...

Job DescriptionKey Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.Keywordsmachine learning,artificial intelligence,data science,python,deep learning,natural language processing,AI research,AI development*

Project Role :Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Machine Learning Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine le...

Project Role :Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Data Science Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with cross-functional teams to understand business needs, analyzing data to d...

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. * Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorpo...