984 Predictive Analytics Jobs - Page 30

As an Data Engineer at IBM you wi harness the power of data to unvei captivating stories and intricate patterns. You' contribute to data gathering, storage, and both batch and rea-time processing. Coaborating cosey with diverse teams, you' pay an important roe in deciding the most suitabe data management systems and identifying the crucia data required for insightfu anaysis. As a Data Engineer, you' tacke obstaces reated to database integration and untange compex, unstructured data sets. In this roe, your responsibiities may incude Impementing and vaidating predictive modes as we as creating and maintain statistica modes with a focus on big data, incorporating a variety of statistica and mac...

As an Data Engineer at IBM you wi harness the power of data to unvei captivating stories and intricate patterns. You' contribute to data gathering, storage, and both batch and rea-time processing. Coaborating cosey with diverse teams, you' pay an important roe in deciding the most suitabe data management systems and identifying the crucia data required for insightfu anaysis. As a Data Engineer, you' tacke obstaces reated to database integration and untange compex, unstructured data sets. In this roe, your responsibiities may incude: Impementing and vaidating predictive modes as we as creating and maintain statistica modes with a focus on big data, incorporating a variety of statistica and ma...

Job Title: Assistant CMI Manager - Personal Care Insights Hub Work Location: Mumbai HO Function/BU: Personal Care, CMI Role Background: The Personal Care Insights Hub aims to drive strategic insights and operational efficiency to transform Personal Care CMI at Unilever by ensuring we "Stay 3 Steps Ahead. " The hub works closely with both the Business Group (BG) and Business Unit (BU) to deliver on key workstreams, enhancing processes, speed, and agility within Personal Care through centralized agency partnerships and providing PC-wide meta-learnings and updates. As a part of the PC Insights HUB, the candidate would have an exciting role in enabling the growth of the Personal Care business by...

Position Title Head (AI/ML) Reporting to CTO and Founder, Advisory Board. Job locations - Gurugram Role Description This is a full-time on-site role for a Head (AI/ML) in Gurugram. The Head will be responsible for leading the AI/ML strategy and implementation, overseeing software development, managing IT projects, defining IT strategies and architectures, and driving product development initiatives. The candidates should be at least 10 years experience with 3-5 year in the field of AI/ML. Exposure to healthcare will be added advantage. Qualifications Software Development skills Project Management skills IT Strategy and Architecture expertise Product Development experience Strong background i...

5 to 7 years of experience in Data Science or Machine Learning roles Proven ability to work on end-to-end ML projectsfrom research to production Conduct in-depth machine learning research and stay updated with state-of-the-art advancements Read, interpret, and implement research papers, especially in the Generative AI domain

Industry: General Insurance Role Lead Data Scientist Years of Experience 8+ years Purpose of Role In this role, The Candidate should be highly analytical with a knack for analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. To help our company analyze trends to make better decisions. Build propensity models, customer segmentations, uplift models, campaign response models, risk, and fraud detection models. Also, Integrate the models with the business processes and consuming systems via ML Ops processes. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models t...

Role & responsibilities Technical Requirements (what) Advanced knowledge of data analysis and modeling principles: KPI Tree creation, Reporting best practices, predictive analytics, statistical and ML based modeling techniques Work Experience of 20+ years in analytics inclusive of 5+ years of experience of leading a team. Candidates from Insurance Industry are preferred. Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units. Strong problem solving, quantitative and analytical abilities. Strong ability to plan an...

Job Description Summary The Data Science Specialist will develop and implement Artificial Intelligence based solutions across various disciplines in GE Aerospace under the guidance of senior team members. In this role, the candidate will contribute to the development and deployment of modern machine learning, artificial intelligence, statistical methods, operations research, semantic analysis etc. for finding structure in large data sets. Job Description Site Overview Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneer...

Your Role Developing and implementing advanced analytical models to derive actionable insights from large datasets. Utilizing machine learning techniques, predictive modeling, and statistical analysis to solve complex workforce-related challenges. Utilizing deep learning techniques and frameworks (e.g., TensorFlow, PyTorch) for advanced predictive analytics. Publishing articles, presenting at conferences, and participating in relevant forums (Thought Leadership). Performing natural language processing (NLP) and sentiment analysis for extracting insights from unstructured data sources. Your profile Proven experience as a Power Platform Developer with expertise in PowerApps, Power Automate, an...

SAP BW with SAC Delivery Role Experience: 6+ years Location : Coimbatore/ Chennai/ Salem Mode of work: Worf from office Shift : Mid Shift (2-to 11 PM) Key Responsibilities: Lead and deliver SAP BW on HANA and SAC projects across various domains. Gather and analyze business requirements for reporting and dashboarding. Develop and maintain BW data models (DSOs, Info Objects, Composite Providers, ADSOs). Design and build SAC stories, dashboards, and analytical applications. Integrate SAC with SAP BW/4HANA and other source systems. Optimize data flows, queries, and SAC performance. Work closely with functional teams to translate business needs into technical solutions. Troubleshoot and resolve i...

Role Summary: The Senior Data Scientist is a technical leadership role with direct accountability for the delivery of multiple projects within FMCG including the management of the analytics quality on these projects. The Senior Data Scientist collaborates closely with other Data Scientists and consultants on projects (across the FMCG client portfolio) to transform client questions and issues into analytical solutions. Key responsibilities: Accountable for the analytics quality and delivery of key FMCG projects. Transforming client questions and issues into analytical solutions, through partnering with Consultants to scope solutions and ensure projects are successfully delivering value to cli...

Role & responsibilities As a Principal Data Scientist in our AdTech team, youll drive innovation in our advertising platform using advanced machine learning and statistical methods. Youll tackle complex problems in real-time bidding, ad ranking optimization, budget efficiency, and performance measurement that directly impact our businesss bottom line. This role requires technical excellence and business acumen and youll collaborate with cross-functional teams to transform data insights into actionable strategies that enhance our advertising ecosystem. Preferred candidate profile B.Tech in Computer Science, Machine Learning, or a related field with at least 6+ years of experience in AI/ML res...

Lead and inspire: Mentor and guide a team of talented ML Engineers, fostering a culture of innovation and collaboration Architect and implement: Design and build scalable, robust, and efficient ML pipelines that power our core products Innovate and optimize: Develop novel algorithms and continuously improve our existing models for performance, accuracy, and scalability Solve complex problems: Tackle challenging real-world problems in areas like natural language processing, recommendation systems, and predictive analytics Stay ahead of the curve: Research and implement state-of-the-art techniques in deep learning, reinforcement learning, and other emerging fields Design and Development: Imple...

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...

Job Summary: We are looking for a skilled and passionate AI Developer with 3+ years of hands-on experience in building and deploying AI/ML solutions. The ideal candidate will have a strong foundation in data science, machine learning algorithms, and deep learning frameworks, and will be responsible for developing scalable AI applications tailored to our business needs. Responsibilities: Design, develop, and deploy machine learning models and AI-driven applications. Collaborate with data engineers and software developers to integrate AI models into production systems. Conduct data preprocessing, feature engineering, and model tuning. Research and implement state-of-the-art ML/DL algorithms fo...

The Data Analyst will support the organization's data management and governance initiatives by analyzing data, resolving issues, and ensuring compliance with policies and standards. This role focuses on ensuring data accuracy, monitoring data handling processes, and contributing to the continuous improvement of data management practices. The ideal candidate will possess strong analytical skills, attention to detail, and a passion for problem-solving. About the Role : In this opportunity, As a Data Analys you will Assist in adherence to Data Management Policies and Procedures, contributing insights and updates for process improvements. Analyze and monitor in-scope data questions, issues, and ...

Senior Data Scientist Enterprise Analytics Want to be part of the Data & Analytics organization, whose strategic goal is to create a world-class Data & Analytics company by building, embedding, and maturing a data-driven culture across Thomson Reuters. We are looking for a highly motivated individual with strong organizational and technical skills for the position of Senior Data Scientist. You will play a critical role working on cutting edge of analytics, leveraging predictive models, machine learning and generative AI to drive business insights and facilitating informed decision-making and help Thomson Reuters rapidly scale data-driven initiatives. About the Role In this opportunity as Sen...

The Data Scientist organization within the Data and Analytics division is responsible for designing and implementing a unified data strategy that enables the efficient, secure, and governed use of data across the organization. We aim to create a trusted and customer-centric data ecosystem, built on a foundation of data quality, security, and openness, and guided by the Thomson Reuters Trust Principles. Our team is dedicated to developing innovative data solutions that drive business value while upholding the highest standards of data management and ethics. About the role: Work with low to minimum supervision to solve business problems using data and analytics. Work in multiple business domai...

Role & responsibilities Team Management: Lead and mentor a team of data analysts and data scientists, fostering a culture of collaboration and growth. Develop team skills in data visualization, data modeling, and statistical analysis techniques. Formulate and implement management techniques for quality data collection, to ensure adequacy, accuracy, and legitimacy of data. Manage the intake of data requests to the team. Stakeholder Engagement: Collaborate with cross-functional leaders (e.g., Marketing, Enrollment, Academic Affairs, Operations) to identify key institutional questions and create data solutions. Analytics & Reporting: Oversee the development of dashboards, KPI reports, and data ...

Job Purpose and Impact The Capability Development Analyst will identify and evaluate opportunities across multiple areas, collaborate and provide details to the respective stakeholders, potentially conduct presentation to the involved parties. In this role, you will perform significant analysis to identify and develop optimal benchmark models, track, collect and monitor various types of data related to capability development opportunities and transition. Key Accountabilities Develop and monitor capability development and transition analysis. Plan and coordinate business reviews, resource allocations, organization structures and financial analysis. Using significant analysis, identify and sup...

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, incorpora...

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, incorpora...

We are seeking a highly skilled AI Data Scientist to join our growing data science team. The ideal candidate will possess strong analytical capabilities, machine learning expertise, and practical experience deploying AI solutions. You will work on cutting-edge projects involving deep learning, NLP, and predictive analytics to solve complex business challenges.

Some careers shine brighter than others. If you re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team i...

**Key Responsibilities** People management - Lead a team of software engineers, DS, DE, MLE, in the design, development, and delivery of software solutions. Program management - Strong program leader that has run program management functions to efficiently deliver ML projects to production and manage its operations. Work with Business stakeholders & customers in the Retail Business domain to execute the product vision using the power of AI/ML. Scope out the business requirements by performing necessary data-driven statistical analysis. Set goals and, objectives using proper business metrics and constraints. Conduct exploratory analysis on large volumes of data, understand the statistical sha...