216 Predictive Jobs - Page 9

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

Primary Responsibilities: Researching, designing, implementing and deploying full-stack scalable machine learning solutions to support intelligent operations initiatives Conduct hands-on data analysis and predictive analytics on large datasets Effectively communicate complex technical results to business partners Support and drive analytic efforts around machine learning and innovation Work with a great deal of autonomy to find solutions to complex problems Design and implement deep learning models for natural language processing Collaborate with data engineers to design and implement data pipelines Work with software engineers to integrate models into production systems Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Youll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: Bachelors degree in Applied Mathematics, Physics, Computer Science, Statistics or related technical field Hands-on experience in developing analytics with machine learning, deep learning, NLP, and/or other related modeling techniques Experience using advanced data science tools such as R, Python, SQL, Spark and H2O Experience developing and deploying analytic solutions using AWS/Azure/GCP Experience applying computational algorithms and statistical methods to structured and unstructured data Experience building end-to-end solutions using deep learning models Experience breaking down and clearly defining problems Experience communicating highly technical results to a diverse audience Demonstrated solid execution mentality Preferred Qualifications: Experience with full-stack development Experience with agile development methodologies

As a Maintenance & Sand Plant Engineer , you will be responsible for overseeing the maintenance and efficient operation of all foundry equipment, with a focus on the sand plant. This role is key to ensuring minimal downtime, optimizing plant processes, and maintaining safety standards. Role & responsibilities Oversee the daily maintenance and repair of foundry machinery and sand plant equipment. Implement a preventive maintenance schedule to minimize downtime and ensure machinery longevity. Perform troubleshooting and diagnostic tests to identify mechanical and electrical issues in the equipment. Supervise sand preparation, mixing, and reclamation processes to maintain high-quality sand for casting operations. Ensure proper functioning of sand screening, drying, and handling systems. Monitor sand quality and adjust processes as needed to meet foundry specifications. Maintain an inventory of spare parts and tools required for maintenance activities. Coordinate with suppliers to ensure timely availability of parts. Monitor the condition and usage of equipment and make recommendations for new purchases or upgrades. Preferred candidate profile Sound technical knowledge of sand preparation & handling systems . Ability to troubleshoot equipment breakdowns quickly and minimize downtime. Knowledge of TPM / Lean maintenance practices . Familiarity with CMMS / SAP-PM modules for maintenance planning. Strong analytical and problem-solving skills . Good leadership qualities for handling technicians and contract manpower. Safety-conscious with knowledge of EHS practices in foundry operations. Strong sense of responsibility and ownership. Good communication and team coordination skills. Willing to work in shifts and handle emergency breakdowns. Age: preferably below 30 years

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

Project Role :Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Oracle Demantra Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : Bachelors Degree preferred Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving activities, ensuring that the applications are aligned with business needs and technical specifications. Your role will require you to facilitate communication between stakeholders and the development team, ensuring that projects are delivered on time and meet quality standards. Roles & ResponsibilitiesSpearhead Oracle Demantra or Oracle Fusion Demand Management processes with a minimum of 6 years of expertise, focusing on predictive trade planning and Promotions and new product introduction. Implement, support, optimize solutions across Oracle Demand Management, Oracle Supply Planning, Backlog Management, Replenishment Planning Collaborate with business stakeholders to gather and analyze planning requirements Translate business needs into functional designs and configurations. Conduct workshops and requirement-gathering sessions. Utilize advanced querying skills to extract relevant data and derive actionable insights. Possess a deep understanding of Demantra tables or Oracle Fusion Tables, leveraging this knowledge for effective data management and analysis. Professional & Technical Skills: Ability to work in Fusion Demand Management requirement gathering sessions and configuring the system as per customer requirements Strong expertise in predictive trade planning and Deductions and Settlement Management processes within Oracle Demantra. Extensive knowledge of Oracle VCP - Demantra and experience in supporting clients in this domain. Advanced querying skills and a deep understanding of Demantra tables for effective data analysis. Thorough knowledge in understanding customer business, setup and configure Oracle Demantra / Fusion Demand Management, tune the engine Should have done collections into Demantra, run the plan, Setup/ Configuration of Oracle DM/ Business Modeler At least 5 to 10+ years of experience consulting on Oracle Fusion Cloud SCM applications- Oracle Demand Management, Replenishment Planning and Sales & Operations Planning Modules (including gathering business requirements, gap analysis, designing demos, UAT and SIT configuration) Exceptional communication skills Should have proficiency in Plan Inputs / Demand Management and Supply Planning and publish the forecast from Cloud Fusion Planning. Business Communication Ability to work custom PaaS Solutions Ability to coordinate with cross functional teams Should have the ability to work as a Techno Functional Consultant Solution Oriented Mindset Able to travel as needed; up to 60-70% of the time. Additional Information:- The candidate should have minimum 7.5 years of experience in Oracle Demantra.- This position is based at our Bengaluru office.- A Bachelors Degree or equivalent 12 years work experience If an associates degree with 6 years of work experience is required. Qualification Bachelors Degree preferred

Project Role :Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Oracle Demantra Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : Bachelors Degree preferred Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions, and ensuring that applications function seamlessly within the existing infrastructure. You will engage in problem-solving activities, contribute to key decisions, and manage the development process to deliver high-quality applications that align with business objectives. Roles & ResponsibilitiesSpearhead Oracle Demantra or Oracle Fusion Demand Management processes with a minimum of 6 years of expertise, focusing on predictive trade planning and Promotions and new product introduction. Implement, support, optimize solutions across Oracle Demand Management, Oracle Supply Planning, Backlog Management, Replenishment Planning Collaborate with business stakeholders to gather and analyze planning requirements Translate business needs into functional designs and configurations. Conduct workshops and requirement-gathering sessions. Utilize advanced querying skills to extract relevant data and derive actionable insights. Possess a deep understanding of Demantra tables or Oracle Fusion Tables, leveraging this knowledge for effective data management and analysis. Professional & Technical Skills: Ability to work in Fusion Demand Management requirement gathering sessions and configuring the system as per customer requirements Strong expertise in predictive trade planning and Deductions and Settlement Management processes within Oracle Demantra. Extensive knowledge of Oracle VCP - Demantra and experience in supporting clients in this domain. Advanced querying skills and a deep understanding of Demantra tables for effective data analysis. Thorough knowledge in understanding customer business, setup and configure Oracle Demantra / Fusion Demand Management, tune the engine Should have done collections into Demantra, run the plan, Setup/ Configuration of Oracle DM/ Business Modeler At least 5 to 10+ years of experience consulting on Oracle Fusion Cloud SCM applications- Oracle Demand Management, Replenishment Planning and Sales & Operations Planning Modules (including gathering business requirements, gap analysis, designing demos, UAT and SIT configuration) Exceptional communication skills Should have proficiency in Plan Inputs / Demand Management and Supply Planning and publish the forecast from Cloud Fusion Planning. Business Communication Ability to work custom PaaS Solutions Ability to coordinate with cross functional teams Should have the ability to work as a Techno Functional Consultant Solution Oriented Mindset Able to travel as needed; up to 60-70% of the time. Additional Information:- The candidate should have minimum 5 years of experience in Oracle Demantra.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification Bachelors Degree preferred

1. Strong experience in data preparation/data wrangling for data on acquired/import connections. 2. Strong experience in data analyzer. 3. Proficient in SAP SAC functionalities, including data integration, data modeling, story creation, and advanced analytics. 4. Expertise / Knowledge of SAC predictive capabilities, augmented analytics, forecasting, Smart Assist, Smart Predict, Smart Discovery, creating story canvasses, advanced story designing, blending data, formulas, cross calculations, input controls, linked analysis. 5. Understanding of data analytics concepts and best practices and Creation of SAC planning masks, workflows, planning calendars etc. 6. Solid understanding in Filters ; Static and Dynamic . 7. Strong experience in creating geo maps using geo enrichment feature for geospatial analysis and creating Planning models in SAC. 8. Design and implementation of authorizations/roles 9. Create functional designs for reporting to enable developers to build them in SAP BW4HANA/SAC. 10.Around 5-7 Years of experience in Supporting/Development of SAC reports.

Job Title - S&C Global Network - AI - Supply Chain Analytics - Manager Management Level: 7-Manager Location: Gurugram, DDC1A, NonSTPI Must-have skills: Supply Chain Analytics Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Mandatory Skills: Must have: Good understanding of overall supply chain planning and operations of any of the industries (CPG, Life sciences, Pharma, Industrial, Resources) and connect it with analytics solutions. Deep understanding of advanced analytics solutions descriptive, diagnostic, predictive, prescriptive, and generative and hands-on experience in building models using machine learning, deep learning, Gen AI models. Strong experience in any one or two of the supply chain functions demand planning, inventory planning, S&OP, logistics planning, etc. Hands-on programming experience with any of the analytics tools, data bases and visualization tools and platforms (Python, PySpark, SQL, Bigdata tools, PowerBI/ Tableau). Strong written and oral communication skills. Good to have: SME in one or more of the supply chain functions Visualization packages like Tableau/ Power BI Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP Experience in live data streaming and data ingestion tools. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. The ideal candidate shall be, An expert in Supply chain operations domain and Data Science skills. Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for supply chain planning areas such as demand, supply, procurement, inventory, spares, etc. planning. Interface with clients to understand engineering/business problems and translate it into analytics problems that shall deliver insights for action and operational improvements. Take initiatives and collaborate with different Accenture internal teams and support driving sales. Provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning and assets & accelerators development. About Our Company | Accenture Qualification Experience: 12-14Years Educational Qualification: Any Degree

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, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours’. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audience Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

Role Overview We are seeking a passionate and data-driven Product Manager/Sr. Product Manager to lead the development and scaling of IoT device solutions, including AI-integrated hardware such as Soundbox and EDCs . The ideal candidate should bring strong product instincts, cross-functional leadership, and experience in building AI-enabled user experiences at scale. Key Responsibilities - Collaborate with business, design, and engineering teams to define customer journeys, drive hardware + AI use cases (e.g., AI bot integration, predictive device health), and enhance merchant experience. - Understand IoT hardware architecture and AI capabilities such as NLP, speech-to-text models, and embedded intelligence to shape product direction. - Define and manage detailed Product Requirement Documents (PRDs), balancing innovation with feasibility across firmware, cloud, and AI pipelines. - Influence business stakeholders and cross-functional teams to expedite decisions and navigate technical roadblocks effectively. - Drive product planning and execution through Agile/Scrum methodologies, aligning sprint goals with roadmap priorities and ensuring timely delivery. - Leverage analytics, real-time device data, and ML models to identify user pain points, track health metrics, and proactively improve product engagement and uptime. - Own product KPIs and continuously refine strategy based on merchant feedback, business impact, and market insights. Key Qualifications - MBA or Bachelors degree in Engineering, Computer Science, or a related field. - Minimum 4 years of experience in Product Management; additional 12 years working with hardware and software products is a strong plus. - Good understanding of AI/ML applications in product workflows (e.g., voice assistants, AI bots, predictive diagnostics). - Strong problem-solving, communication, and stakeholder management skills across tech, business, and design teams. - Comfortable working in fast-paced, ambiguous environments with a strong bias for execution.

LocationBangalore (Hybrid) Experience of implementation, configuration of Catalyst 9800 Wireless Controller Mandatory Migration Experience - e.g. Aruba to Cisco, AirOS to Catalyst Mandatory WiFi 6/6E Mandatory RF design experience - Predictive Surveys, Pre- Deployment/Post-Deployment surveys Mandatory DNAC, SDA, Meraki skillset Added Advantage

LocationBangalore (Hybrid) Experience of implementation, configuration of Catalyst 9800 Wireless Controller Mandatory Migration Experience - e.g. Aruba to Cisco, AirOS to Catalyst Mandatory WiFi 6/6E Mandatory RF design experience - Predictive Surveys, Pre- Deployment/Post-Deployment surveys Mandatory DNAC, SDA, Meraki skillset Added Advantage

LocationBangalore (Hybrid) Experience of implementation, configuration of Catalyst 9800 Wireless Controller Mandatory Migration Experience - e.g. Aruba to Cisco, AirOS to Catalyst Mandatory WiFi 6/6E Mandatory RF design experience - Predictive Surveys, Pre- Deployment/Post-Deployment surveys Mandatory DNAC, SDA, Meraki skillset Added Advantage