524 Predictive Analytics Jobs - Page 21

Work with business and leadership stakeholders to develop strategy Build the EA value proposition and structure business engagement Develop the business architecture Support portfolio modernization and develop roadmaps The Enterprise Architect Join our team in Technology Strategy for an exciting career opportunity to enable our most strategic clients to realize exceptional business value from technology Practice: Technology Strategy & Advisory, Capability Network I Areas of Work: Enterprise Architecture & Business Transformation | Level: Manager | Location: Bangalore/Gurugram/Mumbai/Pune/Kolkata/Hyderabad | Years of Exp: 10 to 15 Explore An Exciting Career at Accenture Do you believe in creating an impact? Are you a problem solver who enjoys working on transformative strategies for global clients? Are you passionate about being part of an inclusive, diverse and collaborative culture?Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy & Advisory. The Practice- A Brief Sketch: The Practice is a part of and focuses on the clients' most strategic priorities. We help clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies.We provide you with a great learning ground, deep-rooted in , where you will get an opportunity to advice and work with our key global clients, driving end-to-end transformative strategic value and business growth.As a part of this high performing team, you will proactively and holistically help and guide the enterprise leaders, product managers, product owners and distributed product delivery teams through transformation and optimization initiatives, supporting the formulation of business strategy, outcomes and capabilities. Your scope of activities could include helping the organization achieve targeted business outcomes related to growing revenue, optimizing costs, mitigating risks and improving sustainability. You focus on development of the business and IT strategy and enterprise architecture of the organization as a whole.You would be expected to: Facilitate alignment between business and IT, and across the democratized IT landscape Engage business and IT stakeholders, building and maintaining relationships Adapt to changing business and operating models Analyze trends and disruptions, and assess their impact on targeted business outcomes Tell stories to visualize the future state and trigger long-term planning Support various operating models such as project-centric and product-centric Communicate the value of enterprise architecture, and its portfolio of services Drive the evolution of the EA teams services and operating model Coach and mentor other architects, product owners/managers and business stakeholders to instill architectural thinking Scope of Activities: As an Enterprise Architect, you will demonstrate competencies across four key dimensions: Support Formulation of Strategy and Guide Execution Lead the analysis of business and operating models, market trends and the technology industry to determine their potential impact on the enterprise's business strategy, direction, and architecture. Provide perspective on the readiness of the organization to change and innovate through scenario planning techniques, and supports formulation of business strategy. Uses planning-driven, design-driven and learning-driven approaches to construct future- and current-state business models. Connects Strategy to Execution Facilitate business and IT alignment, connecting strategy to execution, through a collaborative, supportive and consultative manner, driving the organization's digital business strategies and balancing innovation and growth. Translate and guide execution of business strategy to achieve the organization's targeted business outcomes. Build and Maintain Relationships Build the EA value proposition, contributing to positioning the EA practice as an internal management consultancy, offering services and skills to support the development and execution of business strategy. Develop a portfolio of consulting services, designed to meet business and stakeholder needs, and delivers in an agile and time-boxed way. Determine the relationship between people, processes, information, technology and other components of the enterprise operating model. Enable value-based messaging and manage cross-functional relationships Provide consultative advice, adapted to stakeholder context, to business leaders and organizational stakeholders who seek actionable recommendations to make investment decisions about the next business and operating model of their organization, using technology to make that change happen. Lead interaction with business leaders, product managers and product owners in a business-driven conversation over the risks and implications of the product decision to the line of business, business unit and greater enterprise. Orchestrate the Delivery of Business Outcomes Position the EA practice at the intersection of business and IT. Ensure that the EA practice is designed and enabled to formulate, translate and execute business strategy. Work with business architects and business leaders to identify key drivers and targeted business outcomes to derive useful business context. Bring alignment across business and IT Lead analysis of the business' future-state capabilities and future (and current) IT environment to detect critical gaps and opportunities and recommend solutions for improvement to drive the business towards its targeted outcomes. Identify organizational requirements for the resources, structure and cultural changes necessary to support the enterprise architecture. Work with the CIO and IT leaders to find the right EA organizational design to drive business-outcomes. Ensure that the EA organizational design process leads to a more efficient and effective business and IT operating model, significantly improved results and EA resources empowered and committed to the integration of business and IT. Support Solution Design and Delivery Maintain the alignment, integration and coordination of architecture activities across different programs, projects and products as they evolve over time. Present gap analyses and/or IT investment roadmaps that reflect the status of the existing IT landscape, namely, its ability to contribute to future-state business capabilities around ecosystems and digital platforms. Lead analysis of the IT environment to detect critical deficiencies and recommend solutions for improvement. Lead the development of an implementation plan for the enterprise architecture based on business requirements and the varying IT strategies for project-driven or product-driven delivery teams. Support solution design and delivery Develop and apply minimal viable architectures, which can include a set of standards, reference architecture patterns, principles and guardrails, through the EA governance model, which is informed by the business strategy and corporate governance. Facilitate a collaborative relationship across architecture community, product management and product delivery teams by providing freedom-in-a-box for decision making, with the minimal viable architecture forming the boundaries of the box. Collaborate with delivery teams to ensure consistency with the enterprise architecture, as well as to leverage shared technologies, tools and processes that impact speed to value and time to market. Collaborate with infrastructure teams to ensure consistency with the enterprise architecture, as well as to identify when it is necessary to modify the enterprise architecture . Construct technology-enabled business and operating models and provides viable options and visibility into execution issues. Qualifications Your experience counts! Masters or bachelors degree in business, computer science, computer engineering, electrical engineering, system analysis or a related field of study, or equivalent experience. 8 or more years of business experience in strategic and operations planning and/or business analysis or experience as an enterprise architecture consultant. 8 or more years of experience in at least three disciplines, such as business, information, solution or technical architecture, application development, middleware, information analysis, database management or operations in a multitier environment. Technical Skills: Knowledge of business ecosystems, SaaS, IaaS, PaaS, SOA, APIs, open data, microservices, event-driven IT, data and predictive analytics. Understanding of business models, operating models, financial models, cost-benefit analysis, budgeting and risk management. Familiarity with enterprise architecture tools, related graphical models, and frameworks. Insight into information management practices, system development life cycle management, IT services management, agile and lean methodologies, infrastructure and operations, and EA and ITIL frameworks. Understanding of various operating models such as project-centric and product-centric and also different types of agile principles, methodologies and frameworks, especially those designed to be scaled at the enterprise level. Awareness of existing, new and emerging technologies, and processing environments. Effective leadership skills with exceptional soft and interpersonal skills, including teamwork, facilitation and negotiation. Strong consulting skills such as targeted communications, engagement management, stakeholder management and business development. Mastery of all components of enterprise architecture, business & IT principles and processes. Industry Experience: Understanding of automotive industry emerging technologies like smart manufacturing, battery management systems, electric vehicle technologies etc. Experience of working on automotive industry processes like management, logistics, and inventory optimization. Experience working with common ERP processes such as order to cash, procure to pay, and record to report, and how they apply to the automotive industry. Understanding of regulatory requirements, industry best practices, and standards specific to the automotive sector. Practical experience with digital transformation initiatives in the automotive industry, including customer experience management and digital showroom solutions. Competencies: Excellent analytical, planning and organizational skills. Organizationally savvy, with situational and contextual intelligence of the political climate of the enterprise and how to navigate obstacles and politics. Balances the long-term (big picture) and short-term implications of individual decisions and organization goals. Estimates the financial impact of EA alternatives and applies multiple solutions to business problems. Rapidly comprehends the functions and capabilities of new technologies. Ready to think, behave and act in an innovative consulting manner to drive the organizations digital business strategies. Understands and speaks the language of the business. Excellent written, verbal, communication and presentation skills with the ability to articulate new ideas and concepts to technical and non-technical audiences. Characteristics: Trusted and respected as a thought leader who can influence and persuade business and IT leaders. Comfortable, experienced and accomplished at working with business executives, and able to push back in a professional and diplomatic way. Highly collaborative and supportive of business and of its ideals and strategies. Highly innovative with aptitude for foresight, systems thinking and design thinking. Vendor- and technology-neutral more interested in achieving targeted business outcomes than in personal preferences, or in vested personal preferences of other business and IT leaders. Composed in the face of opposition to architectural principles, governance and standards. Practical in approach to problem solving and decision making.

Job Title - S&C GN - Data Science Consultant Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. If youre passionate about applying data science to solve real-world customer experience challenges, this is the team for you! Professional & Technical Skills: As part of our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include: Developing and fine-tuning Generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities. Building and deploying ML models for various use cases, including intent classification, sentiment analysis, and predictive analytics . Customer segmentation and behavioral analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies. Optimizing conversational AI workflows by improving intent recognition, response generation, and real-time decision-making . Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies. Collaborating with cross-functional teams including engineering, product, and marketing to integrate AI-driven solutions into existing platforms. This role offers the opportunity to work on cutting-edge AI and data science techniques , driving real-world impact in the contact center space. About Our Company | Accenture Qualifications Experience & Educational Qualification: PhD with 2+ years of relevant experience, OR. Master’s degree with 3+ years of experience, OR Bachelor’s degree with 4+ years of experience.

Job Title - S&C GN - Data Science Consultant Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. If youre passionate about applying data science to solve real-world customer experience challenges, this is the team for you! Professional & Technical Skills: As part of our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include: Developing and fine-tuning Generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities. Building and deploying ML models for various use cases, including intent classification, sentiment analysis, and predictive analytics . Customer segmentation and behavioral analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies. Optimizing conversational AI workflows by improving intent recognition, response generation, and real-time decision-making . Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies. Collaborating with cross-functional teams including engineering, product, and marketing to integrate AI-driven solutions into existing platforms. This role offers the opportunity to work on cutting-edge AI and data science techniques , driving real-world impact in the contact center space. About Our Company | Accenture Qualifications Experience & Educational Qualification: PhD with 2+ years of relevant experience, OR. Master’s degree with 3+ years of experience, OR Bachelor’s degree with 4+ years of experience.

Job Title - S&C GN - Data Science Consultant Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. If youre passionate about applying data science to solve real-world customer experience challenges, this is the team for you! Professional & Technical Skills: As part of our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include: Developing and fine-tuning Generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities. Building and deploying ML models for various use cases, including intent classification, sentiment analysis, and predictive analytics . Customer segmentation and behavioral analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies. Optimizing conversational AI workflows by improving intent recognition, response generation, and real-time decision-making . Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies. Collaborating with cross-functional teams including engineering, product, and marketing to integrate AI-driven solutions into existing platforms. This role offers the opportunity to work on cutting-edge AI and data science techniques , driving real-world impact in the contact center space. About Our Company | Accenture Qualifications Experience & Educational Qualification: PhD with 2+ years of relevant experience, OR. Master’s degree with 3+ years of experience, OR Bachelor’s degree with 4+ years of experience.

Job Title - S&C GN - Data Science Consultant Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. If youre passionate about applying data science to solve real-world customer experience challenges, this is the team for you! Professional & Technical Skills: As part of our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include: Developing and fine-tuning Generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities. Building and deploying ML models for various use cases, including intent classification, sentiment analysis, and predictive analytics . Customer segmentation and behavioral analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies. Optimizing conversational AI workflows by improving intent recognition, response generation, and real-time decision-making . Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies. Collaborating with cross-functional teams including engineering, product, and marketing to integrate AI-driven solutions into existing platforms. This role offers the opportunity to work on cutting-edge AI and data science techniques , driving real-world impact in the contact center space. About Our Company | Accenture Qualifications Experience & Educational Qualification: PhD with 2+ years of relevant experience, OR. Master’s degree with 3+ years of experience, OR Bachelor’s degree with 4+ years of experience.

Job Title - S&C GN - Data Science Consultant Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. If youre passionate about applying data science to solve real-world customer experience challenges, this is the team for you! Professional & Technical Skills: As part of our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include: Developing and fine-tuning Generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities. Building and deploying ML models for various use cases, including intent classification, sentiment analysis, and predictive analytics . Customer segmentation and behavioral analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies. Optimizing conversational AI workflows by improving intent recognition, response generation, and real-time decision-making . Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies. Collaborating with cross-functional teams including engineering, product, and marketing to integrate AI-driven solutions into existing platforms. This role offers the opportunity to work on cutting-edge AI and data science techniques , driving real-world impact in the contact center space. About Our Company | Accenture Qualifications Experience & Educational Qualification: PhD with 2+ years of relevant experience, OR. Master’s degree with 3+ years of experience, OR Bachelor’s degree with 4+ years of experience.

All Levels Utilities T&D Join our team in Strategy consulting to find endless opportunities and solve our clients toughest" challenges, as you work with exceptional people, the latest tech and leading companies across industries. Practice: Utilities , Industry Consulting, Capability Network I Areas of Work: T &D | Level: Consultant | Location: Gurgaon, Mumbai, Bangalore , Pune, Hyderabad | Years of Exp: 1 - 5 years Explore an Exciting Career at Accenture Are you an outcome-oriented problem solver? Do you enjoy working on transformation strategies for global clients? Does working in an inclusive and collaborative environment spark your interest? Then, is the right place for you to explore limitless possibilities. Job Summary : To bring industry knowledge, process expertise , world class capabilities, innovation and cutting-edge technology to our clients in the Utilities industry to deliver business value . To work with leading Utilities clients, maj or customers and suppliers to develop and execute global strategies, manage complex change initiatives and integrate solutions to meet changing business challenges Utilize Utilities retail and customer service process understanding and experience in customer solutions (Customer Information System and CRM) to design, implement and deliver enhanced capabilities for Utilities Clients. Lead and support large CIS implementation projects in functional capacity , leveraging Utilities domain knowledge and tool experience. Work requires travel to client site for project work across geographies Key Responsibilities: Functional Expertise:Transmission & Distribution (T&D), Retail, Smart Grids, AMI, Grid Operations, Field Operations, System Planning, Asset Management, Enterprise Transformation, Analytics, OT cybersecurity Experience in T&D Systems especially in Schneider, ABB, OSIsoft / OSI Pi / Televent W ork independently on defining solution for complex projects or contribute to solution of a program S pecialize d in a technology/domain/functional competency area and prepare a road map for the competency/ T&D industry segment in form of competitive service offerings G et involved in practice reusable component inventory and knowledge management. G et involved in assignments in large programs, help in defining business and technological solutions which help customer design and implement new business processes and organization capabilities. Program manage ment of large, complex business programmes to deliver digitally enabled solutions Drive Business Readiness and Deployment activities for region(s) Identify opportunities by farming existing relationships and growing new networks Draw on extensive knowledge and experience across System Integration projects to provide insightful, deal-relevant points of view and recommendations based on robust analysis To harness extensive knowledge combined with an integrated suite of methods, people and assets to deliver sustainable long-term solutions To provide executives and their teams with the necessary strategies and tools to position their organizations for high performance Ability to lead the team from thought leadership, solutioning and demand management perspective (the incumbent will be responsible for the utilization of the team) Apply specific experience and knowledge of Utilities Retail processes to building better customer solutions. Conduct functional solution workshops with clients and identify requirements in the areas of Utility billing, payments, meter reads and credit and collections. Relationships: Reports to: Resources- Sr. Management and/or Client Leads Supervises: A global team spread across various nodes External Relationships: Clients, Third party vendors, suppliers, agencies Qualifications: Education: BE/MTech [Electrical Engg ], MBA (Tier 1) -Not Mandatory , Relevant accreditation for Utilities industry Technical certifications : Would be advantageous , not mandatory: IS Utilities, SAP Certification (Would be an advantage) SAP ISU CRM / Oracle CC&B related experience IBM Maximo Asse t Management SCADA Certification Siemens/ABB/Honeywell/Schneider etc. (Would be an advantage) Experience of Python, R etc. would be an advantage ICS Security Certification would be an advantage Work Experience: 1 + years of experience of working in Retail Utilities Customer Solutions (CIS/CRM) or Grid Operations with knowledge of operational technology systems ( any of following systems - SCADA, EMS, A DMS, OMS, Grid Cyber Security, MDMS, AMR/AMI, DRMS , DERMS and GIS ) and some experience in Field Operations, Planning and Management with exposure to areas such as application of Analytics, Mobility and Cloud technologies in Field Operations, System Planning, Microgrid Planning, Asset Management, Predictive Analytics and Reliability Centered Maintenance 1 + years of experience in Utilities industry Work Requirements: Extensive travel depending on geographical span Language Requirements : English (Mandatory) German ( Mandotory ) Required B1 and above (B2/ C1/C2) level Qualifications Knowledge and Skill Requirements: Core Skills: [Good to have] K nowledge in Utilities industry with core expertise in Transmission & Distribution including Grid Operations, Field Operations, Smart Grids and AMI Ability to assess Value Potential of a T&D transformation program and ability to architect the value proposal Blend of Utilities Industry and Consulting (and Technology if possible) Exposure to International Utilities clients (including onshore client facing consulting work experience) Exposure to innovation - IoT, Cyber Security, Digital, Advanced Analytics, Mobility, Distributed Energy etc. Process Transformation:Involves defining key performance indicators and associated work practices and collecting, managing and reporting monthly/quarterly on regional status. Deep Process Expertise:Transmission & Distribution, Grid Operations, Smart Grids, Analytics, Process Automation, Field Operations, System Planning, Microgrid Planning and Asset Management Extensive System Exposure:H ands on experience of working with T&D systems especially OSI Soft/ PI/ Tele vent ( exp in the following systems - SCADA, EMS, A DMS, OMS, Grid Cyber Security, MDMS, AMR/AMI, DRMS, DERMS and GIS) Sound knowledge of the regulatory intricacies with experience in driving initiatives to meet compliance requirements such as CAPEX plans, grid predictability and grid reliability is preferred Program Management:Involves effectively planning, managing and coordinating multiple projects in a dynamic environment with numerous and complex stakeholder groups and execute on-time and on budget Programme management experience and track record of successful delivery of large, complex programmes Good knowledge and experience in Digital & System Integration projects Drawing on extensive knowledge and experience across Digital and System Integration projects be able to provide insightful, deal-relevant points of view and recommendations based on robust analysis Strong writing skills and experience of producing high calibre reports, papers, presentations and thought leadership Active role in the identification of opportunities by farming existing relationships and growing new networks Change Management:Involves coaching and/or training personnel Ability to work independently with minimal supervision and lead global distributed teams Good understanding of Utilities Retail business processes in mature markets Functional experience in large CIS/CRM implementation projects. Good understanding of the Utilities Retail application landscape .

Position Summary This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients Job Responsibilities Led the project from India working with onshore/ client stakeholders. Work closely with the project manager to define the algorithm, break down the problem into execution steps, and run the analysis Ensure high-quality analytics solutions/reports to the client Delivery role will include working with the team of junior analysts, solution brainstorming and design, execution, and communication of the analysis in the client-ready formats Contribute towards Axtria tools and capabilities as per the business requirements. Education Bachelor of Engineering in Statistics Work Experience Overall, 4-7 years of rich experience in marketing analytics with 3+ years of good hands-on experience in Market Mix Modeling / Promotion Response Modeling / Test & Control Proficiency in Statistical and Probabilistic methods such as multivariate regression, hierarchical modelling, Mixed Effect modelling, SVM, Decision-Trees, Random Forest, etc. Hands-on experience in Python, and good PowerPoint skills. Priority to the candidates with Marketing Mix modeling in the Pharmaceutical / Life Sciences Domain. Knowledge of Pharma data sets (sales/ promotions/ customer master) in the US/ ex-US is deeply appreciated. Attitude and willingness to learn, accept the challenging environment and have confidence in delivering the results within timelines. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python SQL EXCEL Machine Learning Pharma Commercial Know How Patient Data Analytics Know How Others

Monitoring Engineer (RPA Developer) What you can expect As a Monitoring Engineer, you will oversee and report on telecom operations data, design comprehensive dashboards for system health monitoring, and capture essential performance metrics. Additionally, you will conduct data analysis to identify traffic patterns and develop sophisticated anomaly detection and predictive models. About the Team Engineering operations serve as the backbone of our platforms seamless functionality and continuous availability, delivering an unparalleled user experience. Through implementing robust operational and monitoring strategies, the team ensures the stability and security of Zooms infrastructure, enabling millions of users worldwide to connect effortlessly. What we re looking for Have Python coding skills with 5+ years of experience as a real-time monitoring engineer. Have hands-on experience with relational databases for data analysis and visualization. Have proficiency in AWS services and tools, including CloudWatch, CloudTrail, Systems Manager, Lambda, API Gateway, and Config. Have knowledge of ITSM incident workflow management Have experience with data visualization tools and Jupyter notebooks Able to understand AI-integrated tools for intelligent test automation, RPA with AI capabilities, and predictive analytics. Ways of Working Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting. Benefits About Us Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. We re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment. Our Commitment At Zoom, we believe great work happens when people feel supported and empowered. We re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know we re here to support you at every step. If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed. #LI-Remote

Job Title:GN - SC&O - S&P – Spend Analytics – Senior Data Scientist Management Level:8 – Associate Manager Location:Gurgaon Must have skills:Data Handling, Data Classification, AI/ML Good to have Skills: Data Mining, Python Job Summary : As an Associate Manager in Spend Analytics and Senior Data Scientist, you will be responsible for leading the design, development, and implementation of AI/ML-powered procurement and analytics solutions. You will be working closely with cross-functional teams to conceptualize and deploy platforms that identify cost-saving opportunities, enhance supplier management, and deliver business intelligence to enterprise clients. Roles and Responsibilities: Data Handling Data Collection:Participate in calls with stakeholders (internal and external, based in the US) to gather data from various sources (email, Dropbox, Egnyte, databases). Data Audit:Lead assessment of data quality, identify gaps, and create summaries as per database requirements. Data Scrubbing:Assist with creating data cleansing rules and incorporate data clarifications provided by data source owners. Data Profiling:Assist with creating multi-dimensional data views, data analysis reports, and extracts. Data Classification: Spend Classification:Analyze procurement spend using several techniques to comprehensively classify into a custom taxonomy in Accenture's spend analytics tool. Enhancements:Diligently incorporate feedback and make recommendations for process improvement. Report Generation:Create specific and opportunity spend-assessment reports/templates. Periodic Refreshes:Lead discussions with US-based stakeholders for data gathering, data quality checks, control total validation, and spend classification. Advanced Analytics and AI/ML Develop custom data models and algorithms to apply to data sets. Use machine learning tools and statistical techniques to produce solutions to problems. Implement clustering and auto classification using predictive and supervised learning techniques. Design and implement complex data models from scratch. Develop and optimize ETL processes to ensure efficient data handling and processing. Create intuitive and effective front-end interfaces from scratch. Apply AI/ML techniques to optimize supply chain management, including demand forecasting, inventory optimization, and supplier performance analysis. Utilize advanced machine learning algorithms and statistics:regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Develop and implement AI/ML models for predictive analytics and automated decision-making in supply chain operations. Industry Research Secondary Research:Conduct market research to create company and industry primers using online secondary data or information sources. Professional and Technical Skills Python:Hands-on experience with threading limitations and multi-process architecture. MySQL:Ability to integrate multiple data sources using MySQL. Strong coding knowledge and experience with several languages (e.g., R, SQL, JavaScript, Java, CSS, C++). Familiarity with statistical and data mining techniques (e.g., GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis). Experience with advanced machine learning algorithms and statistics:regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Excellent spoken and written English communication skills, with the ability to participate in global team calls. Additional Information: Work Experience:9-11 years of relevant experience in data modeling, ETL automation, AI/ML, and front-end design. Academic Qualifications:Bachelor's or Master's degree in Engineering, Mathematics, Computer Science, or a related field. Extensive experience in handling and classifying spend data using AI/ML Techniques. Strong leadership and team management skills. Proficiency in MS Excel and MS PowerPoint. High attention to detail, accuracy, and innovative problem-solving skills. Preferred experience in supply chain management, with a focus on applying AI/ techniques to optimize operations. About Our Company | Accenture Qualification Experience:9+ years Educational Qualification:Bachelor’s or Master’s degree

Job Title: Product Manager AI-Driven SaaS Solutions Job Description : We are looking for a visionary and execution-focused Product Manager to lead the next generation of our education technology platform. You will own multiple modules across the student lifecycle, streamline existing features, and design world-class, AI-powered SaaS products . This is a high-impact role that demands a combination of domain understanding, systems thinking, and modern product leadership. Key Responsibilities: Product Ownership & Strategy Define and drive the vision, roadmap, and execution of modular SaaS products across key higher education workflows Collaborate with cross-functional teams to align business goals, client needs, and technical feasibility Lead requirement gathering, product discovery, and prioritization sessions Analyze product usage, industry trends, and feedback to make data-informed decisions AI-First Product Development Design and prioritize AI-driven features such as: NLP-based document processing Predictive workflows for student success Recommendation engines for advising or curriculum planning Conversational interfaces and chatbots for support Collaborate with AI engineers and solution teams to validate feasibility and build prototypes Modular, Scalable, Configurable Design Deliver configurable, low-code/no-code module architectures that reduce engineering dependency and allow flexible client setups Ensure regional compliance and localization features are built into each module (e.g., PTPTN, CAA, APEL) Work on integration architecture with third-party platforms and internal tools Execution Leadership Lead sprint planning, backlog grooming, QA sign-offs, and release coordination Coordinate with internal teams (Engineering, QA, Design, BA, Support) for timely delivery Present features in client demos, internal trainings, and roadmap reviews Define success metrics and continuously iterate based on outcomes Required Skills & Qualifications: Experience 5 - 8 years of experience in Product Management, ideally in SaaS or Enterprise EdTech Demonstrated success in owning modular products or complex platforms Prior experience working on AI-enabled products or integrating AI tools into product workflows Technical & Product Fluency Deep understanding of student lifecycle systems (admissions, curriculum, graduation, etc.) Strong grasp of APIs, data models, microservices, and cloud architectures Familiar with AI technologies and frameworks (OCR, LLMs, embeddings, recommender systems) Ability to collaborate with engineers, architects, and AI teams on implementation design Product Design & Execution Proficient in writing PRDs, user stories, and product specs Experienced in Agile/Scrum methodology and sprint lifecycle Strong eye for UX/UI and usability across diverse user groups Hands-on with tools like Jira, Confluence, Figma, Notion, Miro, and Creatrix PMIS Analytical & Communication Strong analytical skills with ability to use data for feature validation Clear communicator can present product decisions to executives and clients alike Highly collaborative across departments, time zones, and cultural contexts Nice to Have: Experience in higher education accreditation or compliance workflows Exposure to no-code platforms or platform-as-a-service products Any AI certifications or hands-on project experience with LLMs, prompt engineering, or model design

Simpli Namdharis Simpli Namdhari’s is a 100% vegetarian Omni Channel retail chain in Bangalore with a comprehensive range of fresh fruits & vegetables, organic & pesticides free range of staples, single-origin dairy products, imported dry fruits, healthy snack range and more. Starting the journey back in the year 2000 with the mission to bring safe food, every product is either grown at the company’s own farms or from trusted sources across India & abroad. With over 30+ stores across Bangalore, and three brand new stores in Malleshwaram, MG Road and Airport Road it is the company’s constant endeavour to create a sustainable food future for its customers. https://www.simplinamdharis.com/ https://www.namdharifresh.com/ http://namdhariseeds.com/ https://dairytales.com/ Data Analyst responsibilities include: Interpreting data, analyzing results using statistical techniques. Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality. Acquiring data from primary or secondary data sources and maintaining databases. Job Brief: We are looking for a passionate certified Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions. Candidate must have strong technical and analytical skills and should be able to work Python development and predictive analysis. Candidate should have good communication skills to be able to collaborate in team and understand the project specifications in detail. Job Description: Roles and Responsibilities: Research and developing new technology algorithms in Python language related to domains like machine learning, analytics, statistics, data analytics and data science. Working on predictive analysis and demand forecasting. Key skills: MS Excel, Tableau, SQL, Python, Machine learning, Predictive analysis, Demand forecasting. Role & responsibilities Preferred candidate profile Perks and benefits

Oliver Wyman is looking for Manager - Data Science to join our dynamic team and embark on a rewarding career journey. Delegating responsibilities and supervising business operations Hiring, training, motivating and coaching employees as they provide attentive, efficient service to customers, assessing employee performance and providing helpful feedback and training opportunities. Resolving conflicts or complaints from customers and employees. Monitoring store activity and ensuring it is properly provisioned and staffed. Analyzing information and processes and developing more effective or efficient processes and strategies. Establishing and achieving business and profit objectives. Maintaining a clean, tidy business, ensuring that signage and displays are attractive. Generating reports and presenting information to upper-level managers or other parties. Ensuring staff members follow company policies and procedures. Other duties to ensure the overall health and success of the business.

Req ID: 323378 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Salesforce Data Cloud Specialist to join our team in Hyderabad, Telangana (IN-TG), India (IN). "Job TitleSalesforce Data Cloud Specialist LocationHybrid Experience3-5 years Job Summary: We are seeking a skilled Salesforce Data Cloud Specialist to manage and optimize customer data platforms, ensuring seamless integration and data orchestration across Salesforce ecosystems. The ideal candidate will have strong expertise in managing Data Cloud, configuring customer data platforms, and aligning data models with business needs to provide actionable insights. Key Responsibilities: Implement and configure Salesforce Data Cloud to unify and segment customer data effectively. Design and manage data models that integrate seamlessly with Salesforce platforms, ensuring high-quality data ingestion and transformation. Work closely with stakeholders to understand business requirements and translate them into technical solutions. Build and manage data pipelines to aggregate and cleanse data from multiple sources. Develop rules for data normalization, identity resolution, and deduplication. Ensure data compliance, security, and privacy standards are maintained. Collaborate with marketing, sales, and analytics teams to leverage Data Cloud capabilities to improve customer engagement and personalization. Troubleshoot and optimize Data Cloud performance, ensuring timely resolution of issues. Required Skills and Qualifications: Strong hands-on experience with Salesforce Data Cloud (formerly known as Customer Data Platform). Proficiency in data modeling, ETL processes, and data integration with Salesforce ecosystems. Knowledge of Salesforce CRM, Marketing Cloud, and related modules. Experience with API integrations and data connectors. Familiarity with identity resolution and customer segmentation techniques. Strong understanding of data governance, privacy, and compliance requirements. Analytical mindset with the ability to derive actionable insights from data. Excellent communication and collaboration skills. Preferred Skills: Salesforce certifications such as Salesforce Certified Data Cloud Specialist or related certifications. Hands-on experience with SQL, Python, or other data manipulation tools. Familiarity with AI/ML models for predictive analytics in customer data. Educational Qualifications: Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field." About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies.Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us atus.nttdata.com NTT DATA endeavors to make https://us.nttdata.comaccessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here. Job Segment Computer Science, Cloud, CRM, Database, SQL, Technology

Zycus is looking for applicants with a strong background in Analytics and Data mining (Web, Social and Big data), Machine Learning, Pattern Recognition, Natural Language Processing, Computational Linguistics, Statistical Modelling, Inferencing, Information Retrieval, Large Scale Distributed Systems, Cloud Computing, Econometrics, Quantitative Marketing, Applied Game Theory, Mechanism Design, Operations Research, Optimization, Human Computer Interaction and Information Visualization. Applicants with a background in other quantitative areas are also encouraged to apply. We are looking for someone who can create and implement AI solutions. If you have built a product like IBM WATSON in the past and not just used WATSON to build applications, this could be the perfect role for you. All successful candidates are expected to dive deep into problem areas of Zycus interest and invent technology solutions to not only advance the current products, but also to generate new product options that can strategically advantage the organization. Role & responsibilities Act as a technical thought leader in collaboration with the analytics leadership team, helping to set the strategy and standards for Machine Learning and advanced analytics Work with senior leaders from all functions to explore opportunities for using advance analytics Provide technical leadership, coaching, and mentoring to talented data scientists and analytics professionals Guide data scientists in the use of advanced statistical, machine learning, and artificial intelligence methodologies Guide the work of other Machine learning team members to provide support and assistance, while also ensuring quality Preferred candidate profile Experience in predictive modelling and predictive software development Skilled at Java, C++, Perl/Python (or similar scripting languages) Experience in using R, Matlab, or any other statistical software Experience in mentoring junior team members, and guiding them on machine learning and data modelling applications Strong communication and data presentation skills Classification (svm, decision tree, random forest, neural network) Regression (linear, polynomial, logistic, etc) Classical Optimization(gradient descent, newton raphson, etc) Graph theory (network analytics) Heuristic Optimization (genetic algorithm, swarm theory) Deep learning (lstm, convolutional nn, recurrent nn) Perks and benefits Five Reasons Why You Should Join Zycus Cloud Product Company : We are a Cloud SaaS Company and our products are created by using the latest technologies like ML and AI. Our UI is in Angular JS and we are developing our mobile apps using React. A Market Leader : Zycus is recognized by Gartner (world's leading market research analyst) as a Leader in Procurement Software Suites. Move between Roles: We believe that change leads to growth and therefore we allow our employees to shift careers and move to different roles and functions within the organization Get a Global Exposure: You get to work and deal with our global customers. Create an Impact: Zycus gives you the environment to create an impact on the product and transform your ideas into reality. Even our junior engineers get the opportunity to work on different product features.

This role emphasizes leadership in service excellence strategic quality management, with a focus on enhancing contact center processes and customer experience. The incumbent will be responsible for driving sustainable continuous improvement and transformation initiatives leveraging technology. Key Responsibilities: *Lead / mentor improvement initiatives that positively impact Client satisfaction business profitability *Be a visionary to identify high impact strategic projects which yield in substantial Gains *Identify new technologies that are relevant to service line and have potential to be scaled *Deliver on strategic and functional goals of projects focused on cost optimization, revenue enhancement metric enhancement. *Apply structured problem solving methodology, tools, data analytics and technology to generate value and solve business problems *Identifying process gaps automation opportunities Project managing improvement efforts across multiple locations and maintain consistence in effort implementation Interfacing with leadership/clients and identifying opportunities for value Driving effective Change Management for a stable consistent delivery Zero surprise operations Profile Experience: Bachelors degree with 11+ years of experience in contact center or outsourcing industry *Experience on Gen AI tools along-side Six Sigma/Lean/Kaizen/COPC methodologies *Exposure to drive complex improvement / transformation projects across multiple accounts/domains Experience in Data Analytics - Machine learning / Predictive Analytics / Power BI/SQL/Python / Big Data Preferred Certifications : Certified Analytics Professional / Google/Microsoft/AWS certified Data analytics / Data science professional certificate / Design Thinking Practitioner / Cloud Certification / Six Sigma/Lean/VSM certification Well versed with project and program management (initiation, monitoring, stakeholder management, quality, financials, risks/issues).

Dear Candidate, We are hiring for senior Data Scientist at Goregaon Below are the details for the same Organocation- Leading NBFC Location - Goregaon Work Mode- Work From office Roles & Responsibilities: Understanding the challenges faced by the business and translate that into a data problem Handle data in various formats easily, including both structured and unstructured data Ability to work with multiple data sources Model/ strategy development and validation Model deployment Requirements: Should be from Banking & NBFC Worked on Bureau data Develop Model like- Logistic regression, XGBoost, Random Forest, etc (Different techniques of model development) Coding- Python, XQL, Pyspark, Etc (Python is mandatory) Risk, Collections, Marketing related scorecard will work Scorecard- Application SC, Behavior SC, Fraud SC Min Exp- 5 plus Must

About The Role The leader must demonstrate an ability to anticipate, understand, and act on evolving customer needs, both stated and unstated. Through this, he/she must create a customer-centric organization and use innovative thinking frameworks to foster value-added relations. With the right balance of bold initiatives, continuous improvement, and governance, the leader must adhere to the delivery standards set by the client and eClerx by leveraging the knowledge of market drivers and competition to effectively anticipate trends and opportunities. Besides, the leader must demonstrate a capacity to transform, align, energize organization resources, and take appropriate risks to lead the organization in a new direction. As a leader, the candidate must build engaged and high-impact direct, virtual, and cross-functional teams, and take the lead towards raising the performance bar, build capability and bring out the best in their teams. By collaborating and forging partnerships both within and outside the functional area, the leader must work towards a shared vision and achieve positive business outcomes. Associate Program Manager Roles and responsibilities: Lead and provide strategic direction to teams, ensuring alignment with clients business objectives Actively collaborate with the Marketing, Marketing Operations, Marketing Technology, Risk & Controls, and Automation teams to consult and facilitate the seamless execution of marketing campaigns and initiatives Collaborate with client stakeholders to shape and execute the target operating model for data operations, data engineering, and insights teams Drive revenue growth by understanding client needs, proposing innovative commercial constructs, and capitalising on upsell & cross-sell opportunities Accountable for ensuring we are recruiting a highly skilled workforce of data engineers, data analysts and data scientists to support RTB and CTB initiatives of the Client Work closely with sales and consulting teams to expand current business and explore new transformation-led opportunities Stay updated with industry trends, and champion the adoption of cutting-edge tools, methodologies, and technologies Take ownership of team deliverables, ensuring quality checks, best practices and desired outcomes are achieved on the first attempt. Understand project requirements and equip team members with the necessary skills and training. Technical and Functional Skills: Masters / Bachelors degree in Management / Engineering / Mathematics / Statistics or any related quantitative discipline The ideal candidate must have a minimum of 8+ years of experience in Data Management, Analytics, or Decision Science, including P&L Management responsibilities Experience working in services/consulting space, building and leading large analytics business and demonstrated success in delivering to clients across industries and domains preferably Banking and Financial Services Proven track record of building and leading high growth teams; demonstrated experience in hiring, retaining, and scaling geographically dispersed, high-performing teams Experience in collaborating, communicating, and influencing different stakeholders to drive inclusion, efficiency, and creative solutions

Job Summary: We are seeking a forward-thinking AI Business Analyst with a strong foundation in IT Business Analysis and a passion for AI-driven innovation. The ideal candidate will possess exceptional analytical skills, technical expertise, and experience in delivering transformative digital solutions. This role will play a pivotal part in bridging the gap between business needs and cutting-edge AI technologies to drive strategic value across the organization. Key Responsibilities: Requirements Gathering: Engage with stakeholders to elicit, analyze, and document business requirements. Ensure business needs are aligned with strategic objectives and technological capabilities. Solution Design: Evaluate current business processes and identify opportunities for AI integration and digital transformation. Collaborate with cross-functional teams to design innovative, data-driven solutions. Project Support: Assist project managers in delivering AI and digital initiatives on time and within scope. Support end-to-end project lifecycles including planning, execution, and post-implementation analysis Data Analysis: Leverage data analytics tools to analyze large and complex datasets. Generate insights and actionable recommendations to inform decision-making and optimize processes. Stakeholder Communication: Maintain strong communication channels with internal and external stakeholders. Translate technical concepts into clear, business-friendly language. Documentation: Prepare comprehensive documentation including business requirements, functional specifications, process flows, and user guides. Training & Support: Facilitate user training and onboarding for new AI systems and digital tools. Provide ongoing support to ensure user adoption and satisfaction Qualifications Education: Bachelors degree in Computer Science, Information Technology, Business Administration, or a related field.. Experience: 5-7 years of experience as an IT Business Analyst . Technical Proficiency: Familiarity with data analytics platforms and visualization tools. Exposure to AI technologies (e.g., Chat GPT, Gemini, machine learning frameworks). Experience with project management tools (e.g., Jira, Trello, Asana) . Preferred Qualifications AI Expertise: Experience with AI models, natural language processing, predictive analytics, or intelligent automation. Digital Transformation: Hands-on experience in initiatives such as cloud migration, process automation, and digital strategy development . Certifications: Relevant certifications in Business Analysis (e.g., CBAP), AI/ML, or Agile methodologies are a plus. .

You are a highly skilled and motivated Gen AI Platform Engineer with a passion for leveraging modern architectures, tools, and technologies. You excel in designing and developing scalable, modular solutions that enhance the efficiency and effectiveness of R&D efforts. Your deep understanding of distributed computing, cloud services, and container technologies allows you to create robust and secure platforms. You are collaborative, with excellent problem-solving and organizational skills. Your ability to incorporate AI and machine learning into your work sets you apart, and you are always looking to stay ahead of industry trends. Your effective communication skills enable you to work effectively with cross-functional teams and stakeholders, ensuring that user feedback is incorporated into the development process. What You will Be Doing: Designing and developing scalable, modular platform solutions that promote reuse and are easily integrated into our diverse product suite. Collaborating with cross-functional teams to understand their needs and incorporate user feedback into the platforms development. Establishing and Implementation of best practices for modern software architecture, including microservices, serverless computing, and API-first strategies and CI/ CD. Driving the strategy for containerization and orchestration using Docker, Kubernetes, or equivalent technologies. B enchmarking LLM models with varying loa d profile s to evaluate model performance. Developing Cloud native solutions for GenAI apps including Helm development, CRD, working with Kubernetes APIs, Storage class , PVCs, Services , Ingress controllers etc Handson Kubernetes monitoring Architecture including building Grafana dashboards, custom metrics, autoscaling etc. Hands on GPU Administration on Kubernetes including monitoring, multi-instance GPU etc. Incorporating AI and machine learning capabilities into the platform to facilitate smarter workflows and predictive analytics. The Impact You Will Have: Enhancing the efficiency and effectiveness of our R&D product development processes. Keeping our products at the forefront of the industry through the adoption of advanced technologies. Promoting reuse and integration across our diverse product suites . Promoting Automation of various applications build processes. Play a key role in cloud native transformation journey of legacy application stacks. Facilitating smarter workflows and predictive analytics through AI and machine learning. Ensuring the robustness, security, and compliance of our platform infrastructure. Driving innovation and continuous improvement within the platform engineering team. What You will Need: Bachelors or M asters degree in computer science , Engineering, or a related field. A minimum of 5 years of experience in software development. Strong development experience in Go (highly preferred) Python. Model management, etc ,. Deep understanding of distributed computing, CAP theorem, and system design tradeoffs. Proven expertise in cloud computing services (AWS, Azure, GCP), container technologies (Docker, Kubernetes). Linux Foundation certifications: CKA, CKAD , CKS (highly preferred). Experience with Generative AI, along with a working knowledge of various aspects such as GPUs, models, inference serving, and LLM Gateways, is highly desirable. Familiarity with AI/machine learning frameworks and tools, coupled with a keen interest in staying updated with emerging innovations, is also greatly valued. Background in working with CI/CD pipelines and familiarity with modern software delivery ecosystem (GitHub Actions, Azure DevOps, Harness.io, GitLab CI, etc.). Excellent problem-solving, organizational, and leadership skills. Effective communication abilities to effectively collaborate with internal teams and stakeholders. Who You Are: A proactive and self-motivated individual. A creative thinker with strong problem-solving skills. Highly organized and detail oriented. A team player with excellent interpersonal skills. Adaptable and able to thrive in a fast-paced environment.

Roles and Responsibilities Develop market mix models using SAS, SQL, and statistical techniques to drive business decisions. Collaborate with cross-functional teams to design and implement data science solutions for revenue growth management. Conduct time series analysis and predictive analytics to forecast demand and optimize pricing strategies. Design and execute A/B testing experiments to measure the impact of marketing campaigns on customer behavior. Provide insights and recommendations to stakeholders through clear communication of results. Desired Candidate Profile 2-7 years of experience in Market Mix Modelling or related field (Data Science). Strong proficiency in Python programming language with expertise in machine learning algorithms such as logistic regression, naive bayes, etc. . Experience working with large datasets using tools like Spark, Hadoop, NoSQL databases etc. . Bachelor's degree in Mathematics/Statistics/Computer Science/Engineering from a top tier institute.

We are seeking a highly driven AI-Powered Sales Closer with deep experience in IT services and a passion for automation. Youll manage the entire sales cycle solo , using cutting-edge AI tools and sales automation platforms to generate leads, run outreach, and close deals efficiently. Ideal for a tech-savvy self-starter who thrives on optimizing every step of the sales process through no-code tools, predictive analytics, and data-driven decision-making.

As an Associate Software Developer 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 behaviour’s. 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 3 Years + of relevant exp. Strong proficiency in Tableau Desktop and Tableau Server.. Experience with SQL and data manipulation. Strong experience in data manipulation and SQL Queries Leads the team to adopt right tools for various migration and modernization method Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

Role Senior/Junior Data Scientist /Senior Software Engineer Educational Qualification:- Bachelor of Technology in Computer Science or related field Years of Experience : 4-10 Years Location:- Bangalore or Kochi ( Both location Work From Office) # of Positions Multiple (includes Junior and Senior Data Scientist Positions) Required Skills: Senior Data Scientist - Out of 7+ total years of Experience, 5+ years of experience as a full-time data scientist, machine learning researcher, or machine learning engineer Junior Data Scientist - Out of 4+ total years of Experience, 2+ years of experience as a full-time data scientist, machine learning researcher, or machine learning engineer Fluency in R, Python, and experience with common data science libraries, such as Pandas, numpy, and scikit-learn Experience using neural networks and/or Deep Learning techniques and relevant Python platforms/APIs such as Tensorflow, PyTorch, and Keras in a production setting Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks Experience with NLP (especially sentiment analysis, entity recognition, and use of the SpaCy library) Experience with SQL databases and SQL queries Self-starting, with the interest and passion to contribute in a fast-paced start-up like environment Experience working on or with cloud platforms (AWS, GCP, Azure) Very Good understanding of DevOps Roles and Responsibilities Build, deploy, monitor, and manage Machine Learning models Identify valuable input features and implement a means for calculating them (feature engineering) Investigate, clean, analyze, and otherwise prepare new data sources for use in higher-order analysis or as input into model features Data analysis and presentation using data visualization techniques, sometimes to broader audiences within or outside of Terawe Transition models from research to production, working with Data Engineers Fine-tune model performance in a production setting using adaptive/incremental machine learning techniques Map customer and/or product requirements to correct modeling, analysis, and/or visualization approaches Recommend ways to improve data reliability and quality and implement them Collaborate with Product development team to plan new features