18655 Visualization Jobs - Page 37

We are looking for a highly experienced and innovative Senior Architect to lead and oversee architectural projects from concept to completion. The ideal candidate will have a strong understanding of architectural design principles, project management skills, and the ability to collaborate effectively with clients, consultants, and internal teams to deliver high-quality and sustainable designs. Key Responsibilities: Project Leadership & Design Oversight: Lead the development of conceptual designs, layouts, and detailed architectural plans. Ensure that all designs meet client requirements, project objectives, and regulatory standards. Provide design direction and technical expertise to the architecture team throughout the project lifecycle. Client Consultation & Stakeholder Management: Collaborate with clients to understand project vision, objectives, and requirements. Conduct client presentations and incorporate feedback into design modifications. Coordinate with engineers, contractors, and other professionals to ensure seamless project execution. Technical Review & Compliance: Oversee and review architectural drawings, models, and technical documentation. Ensure that all designs comply with local building codes, zoning laws, and safety regulations. Perform quality checks to ensure project milestones are met with accuracy. Team Mentorship & Supervision: Mentor and guide junior architects and design team members. Review and provide feedback on team deliverables to ensure quality and alignment with project goals. Foster a collaborative and innovative work environment. Project Management & Coordination: Develop project timelines, allocate resources, and manage budgets effectively. Monitor project progress, identify potential risks, and implement solutions to keep the project on track. Ensure project deliverables are completed within agreed deadlines. Sustainability & Innovation: Promote the use of sustainable design practices and energy-efficient building systems. Stay updated with emerging trends, technologies, and best practices in architecture and urban design. Required Qualifications: Bachelor’s or Master’s degree in Architecture (B.Arch/M.Arch) or a related field. Proficiency in AutoCAD, Revit, SketchUp, and other architectural design tools. Strong knowledge of building codes, safety regulations, and zoning laws. Extensive experience in handling complex design projects and working with multidisciplinary teams. Excellent communication, leadership, and project management skills. Preferred Skills: Knowledge of LEED, Green Building Standards, and Sustainable Design Principles. Hands-on experience with BIM (Building Information Modeling) and 3D visualization tools. Strong problem-solving and decision-making abilities. Job Type: Full-time Pay: ₹25,000.00 - ₹30,000.00 per month Work Location: In person

Job Title: Machine Learning Engineer – 3D Graphics Location: Visakhapatnam, UAE Experience: 6+years Job Type: Full-Time Role: We are seeking a highly skilled and innovative Machine Learning Engineer with 3D Graphics expertise . In this role, you will be responsible for developing and optimizing 3D mannequin models using machine learning algorithms, computer vision techniques, and 3D rendering tools. You will collaborate with backend developers, data scientists, and UI/UX designers to create realistic, scalable, and interactive 3D visualization modules that enhance the user experience. Key Responsibilities: 3D Mannequin Model Development: Design and develop 3D mannequin models using ML-based body shape estimation. Implement pose estimation, texture mapping, and deformation models. Use ML algorithms to adjust measurements for accurate sizing and fit. Machine Learning & Computer Vision: Develop and fine-tune ML models for body shape recognition, segmentation, and fitting. Implement pose detection algorithms using TensorFlow, PyTorch, or OpenCV. Use GANs or CNNs for realistic 3D texture generation. 3D Graphics & Visualization: Create interactive 3D rendering pipelines using Three.js, Babylon.js, or Unity. Optimize mesh processing, lighting, and shading for real-time rendering. Use GPU-accelerated techniques for rendering efficiency. Model Optimization & Performance: Optimize inference pipelines for faster real-time rendering. Implement multi-threading and parallel processing for high performance. Utilize cloud infrastructure (AWS/GCP) for distributed model training and inference. Collaboration & Documentation: Collaborate with UI/UX designers for seamless integration of 3D models into web and mobile apps. Maintain detailed documentation for model architecture, training processes, and rendering techniques. Key Skills & Qualifications: Experience: 5+ years in Machine Learning, Computer Vision, and 3D Graphics Development. Technical Skills: Proficiency in Django, Python, TensorFlow, PyTorch, and OpenCV. Strong expertise in 3D rendering frameworks: Three.js, Babylon.js, or Unity. Experience with 3D model formats (GLTF, OBJ, FBX). Familiarity with Mesh Recovery, PyMAF, and SMPL models. ML & Data Skills: Hands-on experience with GANs, CNNs, and RNNs for texture and pattern generation. Experience with 3D pose estimation and body measurement algorithms. Cloud & Infrastructure: Experience with AWS (SageMaker, Lambda) or GCP (Vertex AI, Cloud Run). Knowledge of Docker and Kubernetes for model deployment. Graphics & Visualization: Knowledge of 3D rendering engines with shader programming. Experience in optimization techniques for rendering large 3D models. Soft Skills: Strong problem-solving skills and attention to detail. Excellent collaboration and communication skills. Interested candidates can send their updated resume to: careers@onliestworld.com Job Type: Full-time

Work Level : Individual Core : Communication Skills, Problem Solving, Execution Leadership : Decisive, Team Alignment, Working Independently Industry Type : IT Services & Consulting Function : Data Analyst Key Skills : Data Analytics,Data Analysis,Python,R,MySQL,Cloud,AWS,Bigdata,Big Data Platforms,Business Intelligence (BI),Tableau,Data Science,Statistical Modeling Education : Graduate Note: This is a requirement for one of the Workassist Hiring Partner. Requirement: Currently pursuing or recently completed a degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Strong analytical and problem-solving skills. Proficiency in Excel and SQL for data analysis. Experience with data visualization tools like Power BI, Tableau, or Google Data Studio. Basic knowledge of Python or R for data analysis is a plus. Understanding of statistical methods and data modeling concepts. Strong attention to detail and ability to work independently. Excellent communication skills to present insights clearly. Preferred Skills: Experience with big data technologies (Google BigQuery, AWS, etc.). Familiarity with machine learning techniques and predictive modeling. Knowledge of business intelligence (BI) tools and reporting frameworks. Company Description Workassist is an online recruitment and employment solution platform based in Lucknow, India. We provide relevant profiles to employers and connect job seekers with the best opportunities across various industries. With a network of over 10,000+ recruiters, we help employers recruit talented individuals from sectors such as Banking & Finance, Consulting, Sales & Marketing, HR, IT, Operations, and Legal. We have adapted to the new normal and strive to provide a seamless job search experience for job seekers worldwide. Our goal is to enhance the job seeking experience by leveraging technology and matching job seekers with the right employers. For a seamless job search experience, visit our website: https://bit.ly/3QBfBU2 (Note: There are many more opportunities apart from this on the portal. Depending on the skills, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world. The Business & Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered. This is an exciting time to join our group BIC Customer Experience and work on something highly strategic to Microsoft. The goal of the Customer Zero Engineering is to build the next generation of our applications running on Dynamics 365, AI, Copilot, and several other Microsoft cloud services to drive AI transformation across Marketing, Sales, Services and Support organizations within Microsoft. We innovate quickly and collaborate closely with our partners and customers in an agile, high-energy environment. Leveraging the scalability and value from Azure & Power Platform, we ensure our solutions are robust and efficient. Our organization’s implementation acts as reference architecture for large companies and helps drive product capabilities. If the opportunity to collaborate with a diverse engineering team, on enabling end-to-end business scenarios using cutting-edge technologies and to solve challenging problems for large scale 24x7 business SaaS applications excite you, please come and talk to us! We are looking for talented and motivated data engineers interested in helping our organization empower learners through producing valuable data that can be used to understand the organization's needs to make the right decisions. We want you for your passion for technology, your curiosity and willingness to learn, your ability to communicate well in a team environment, your desire to make our team better with your contributions, and your ability to deliver. We use industry-standard technology: C#, JavaScript/Typescript, HTML5, ETL/ELT, Data warehousing, and/ or Business Intelligence Development. Responsibilities Implement scalable data models, data pipelines, data storage, management, and transformation solutions for real-time decisioning, reporting, data collecting, and related functions. Leveraging machine learning(ML) models knowledge and implement appropriate solutions for business objectives. Ship high-quality, well-tested, secure, and maintainable code. Develop and maintain software designed to improve data governance and security. Troubleshoot and resolve issues related to data processing and storage. Collaborate effectively with teammates, other teams and disciplines and drive improvements in engineering. Creates and implements code for a product, service, or feature, reusing code as applicable. Contributes to efforts to break down larger work items into smaller work items and provides estimation. Troubleshooting live site issues as part of both product development and Designated Responsible Individual (DRI) during live site rotations. Remains current in skills by investing time and effort into staying abreast of latest technologies. Qualifications Required: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. 3+ years experience in business analytics, software development, data modeling or data engineering work. Software development using languages like C#, JavaScript or Java. Experience using a variety of data stores, including data warehouses, RDBMS, in-memory caches, and document Databases. Proficiency with SQL and NoSQL and hands-on experience using distributed computing platforms. Experience developing on cloud platforms (i.e. Azure, AWS) in a continuous delivery environment. Strong problem solving, design, implementation, and communication skills. Strong intellectual curiosity and passion for learning new technologies. Preferred Qualifications Experience with data engineering projects with firm sense of accountability and ownership. Experience in ETL/ELT, Data warehousing, data pipelines and/ or Business Intelligence Development. Experience using ML, anomaly detection, predictive analysis, exploratory data analysis. A strong understanding of the value of Data, data exploration and the benefits of a data-driven organizational culture. Business Intelligence experience or visualization with tools such as Power BI is also beneficial. Experience implementing data systems in C#/Python/Scala or similar. Working knowledge of any (or multiple) of the following tech stacks is a plus: SQL, Databricks, PySparkSQL, Azure Synapse, Azure Data Factory, Azure Fabric, or similar. Basic Knowledge of Microsoft Dynamics Platform will be an added advantage. #BICJobs Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. SAP Analytics Cloud Job Description To provide Architecture and SME support for SAC Analytics Cloud tool To provide Enterprises reporting solution with knowledge of different reporting strategy for client deliverables To configure all the Infrastructure pre-requisite for Live and Import data connection with HANA To Participate in all the different phases of project (Plan, Design, Explore, Realise and Deploy) for SAP Analytics cloud deliverables. To perform sematic layer building in SCP, BW and ABAP CDS reporting architecture. To perform SAC object building like Public/ private Dimension, Account and Measure based SAC Models, Different Story page Template and visualization. To perform Currency set up in SAP Analytics cloud for all the Analytical and Planning requirement. To perform Business Planning scenario through SAC inbuilt functionality – Data Action, Advance Data Action and Allocation. To perform all the Planning activity scheduling through Calendar and data locking and validation rules. To perform all the Smart, predict features capability and leverage in SAP Analytics cloud. To Build Geo -enriched visualization with HANA and S4/HANA (live and import) data sources in SAC. To build Dashboard and Agenda in Digital boardroom with knowledge of all styling and navigations. To leverage and implement ML and AI scenarios of Smart Insight, Smart Discovery and Search to Insight features in Reports/Visualization. To build highly customizable Dashboard through Analytical applications in SAC. To perform Java scripting with different scripting API’s in Analytical application with Analytical and Planning capable application. Ability to lead customer workshops and educational sessions around SAP Analytics cloud and data integrity concepts and tool functionality. Good knowledge of data warehousing and visualization concept of reporting. Create unit test cases and perform unit testing Create necessary documentation as per methodology Demonstrates a strong sense of ownership Skills and Experience: Minimum of 3 to 5 year of Hands-on experience in implementing SAP Analytics cloud solutions. Ability to understand and validate business scenario and apply design thinking Strong knowledge of understanding in requirement gathering and designing/building Analytical and planning concepts & scenarios. Strong working knowledge in Native HANA Modelling. Strong working Knowledge in ABAP CDS view modelling. Strong knowledge on Reporting strategy and modelling. Nice to have: Experience in Enterprise Data Warehousing in both Relational and Multi-Dimensional Data Modelling Techniques Knowledge on web dispatcher and reverse proxy connection. Experience in R programming for statistical visualization. Experience in SAP BPC planning and Allocation. Experience on Design Studio and/or Java script. Experience on SAP HANA Administration. Expertise in Native Hana hands-on development experience: Creating SAP HANA information models such as Procedure and Hana Views (Attribute, Analytics and Calculation views) with graphical and SQL Scripting, Integration with S/4 Hana system and Universe. Strong hands-on experience in SAP Analytics (Lumira, Webi, Analysis for office, Bex Report) Knowledge on various cloud systems like SuccessFactors, Ariba, Fieldglass, Concur, Google Cloud Platform etc. Experience in creating and consuming OData services (both SAP and Non-SAP). EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

RiskInsight Consulting Pvt Ltd is looking for a Data Analyst with expertise in SQL and HDFS (Hadoop Distributed File System) to join our dynamic team. The selected candidate will play a crucial role in analyzing large datasets and providing actionable insights to drive business decisions. If you are a detail-oriented individual with a passion for data, we want to hear from you! Design, implement, and maintain data pipelines and workflows using HDFS for data management Conduct data extraction, transformation, and loading (ETL) processes using SQL and Hive Perform rigorous data analysis to identify trends, inconsistencies, and insights for stakeholders Collaborate with business units to understand their analytical needs and deliver data-driven insights Create visualizations and generate reports to present findings to both technical and non-technical audiences Ensure data integrity and security throughout all stages of data processing Stay informed about industry advancements in data analysis and contribute to best practices in the field Requirements Bachelor's degree in Computer Science, Data Science, Mathematics, or related field Proven experience in a Data Analyst role with strong expertise in SQL and HDFS Hands-on experience with Hive for querying and analyzing large datasets Familiarity with data visualization tools such as Tableau, Power BI, or similar Excellent problem-solving and analytical skills with the ability to draw meaningful conclusions from data Strong communication skills to effectively share insights with diverse teams Ability to work independently and as part of a team in a fast-paced environment Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge technologies and solve complex challenges. Dynamic and collaborative work environment with opportunities for growth and career advancement. Regular training and professional development opportunities.

Key Responsibilities Advanced Model Development: Design and implement cutting-edge deep learning models using frameworks like PyTorch and TensorFlow to address specific business challenges. AI Agent and Chatbot Development: Create conversational AI agents capable of delivering seamless, human-like interactions, from foundational models to fine-tuning chatbots tailored to client needs. Retrieval-Augmented Generation (RAG): Develop and optimize RAG models, enhancing AI’s ability to retrieve and synthesize relevant information for accurate responses. Framework Expertise: Leverage LLAMAIndex and LangChain frameworks for building agent-driven applications that interact with large language models (LLMs). Data Infrastructure: Expertise in managing and utilizing data lakes, data warehouses (including Snowflake), and Databricks for large-scale data storage and processing. Machine Learning Operations (MLOps): Manage the full lifecycle of machine learning projects, from data preprocessing and feature engineering through model training, evaluation, and deployment, with a solid understanding of MLOps practices. Data Analysis & Insights: Conduct advanced data analysis to uncover actionable insights and support data-driven strategies across the organization. Cross-Functional Collaboration: Partner with cross-departmental stakeholders to align AI initiatives with business needs, developing scalable AI-driven solutions. Mentorship & Leadership: Guide junior data scientists and engineers, fostering innovation, skill growth, and continuous learning within the team. Research & Innovation: Stay at the forefront of AI and deep learning advancements, experimenting with new techniques to improve model performance and enhance business value. Reporting & Visualization: Develop and present reports, dashboards, and visualizations to effectively communicate findings to both technical and non-technical audiences. Cloud-Based AI Deployment: Utilize AWS Bedrock, including tools like Mistral and Anthropic Claude, to deploy and manage AI models at scale, ensuring optimal performance and reliability. Web Framework Integration: Build and deploy AI-powered applications using web frameworks such as Django and Flask, enabling seamless API integration and scalable backend services. Technical Skills Deep Learning & Machine Learning: Extensive hands-on experience with PyTorch, TensorFlow, and scikit-learn, along with large-scale data processing. Programming & Data Engineering: Strong programming skills in Python or R, with knowledge of big data technologies such as Hadoop, Spark, and advanced SQL. Data Infrastructure: Proficiency in managing and utilising data lakes, data warehouses, and Databricks for large-scale data processing and storage. MLOps & Data Handling: Familiar with MLOps and experienced in data handling tools like pandas and dask for efficient data manipulation. Cloud Computing: Advanced understanding of cloud platforms, especially AWS, for scalable AI/ML model deployment. AWS Bedrock: Expertise in deploying models on AWS Bedrock, with tools such as Mistral and Anthropic Claude. AI Frameworks: Skilled in LLAMAIndex and LangChain, with practical experience in agent-based applications. Data Visualization: Proficient in visualization tools like Tableau, Power BI for clear data presentation. Analytical & Communication Skills: Strong problem-solving abilities with the capability to convey complex technical concepts to diverse audiences. Team Collaboration & Leadership: Proven success in collaborative team environments, with experience in mentorship and leading innovative data science projects. Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. Experience: Specializing in deep learning, including extensive experience in PyTorch and TensorFlow. Advanced AI Knowledge: Familiarity with reinforcement learning, NLP, and generative models. Benefits: Friendly Work Environment Work-Life Balance Company-Sponsored Medical Insurance 5-Day Work Week with Flexible Timings Frequent Team Outings Yearly Leave Encashment Location: Ahmedabad

Location: Mumbai Summary We are seeking a detail-oriented, data-driven Real Estate Operations Analyst to join our team. This role is ideal for candidates who enjoy solving operational challenges, analyzing data, and improving efficiency in real estate development and sales. You will be responsible for monitoring site progress, analyzing daily reports, integrating data across functions, and providing actionable insights. Responsibilities · Collect and analyze daily progress reports from site teams to track task completion and identify delays. · Tag incomplete tasks with specific reasons (e.g., internal issues, external dependencies, contractor delays). · Assist in mapping productivity metrics by correlating attendance data with task completion rates. · Support sales and marketing funnel analysis to ensure team alignment and efficiency. · Attend meetings on behalf of management, document key points, and follow up on action items. · Integrate data from multiple sources (HR, CRM, project management tools) to create dashboards and reports. · Develop insights and recommend process improvements to enhance operational efficiency. Skills and Experience Required · Bachelor’s degree in business, Real Estate, Construction Management, or related field (Degree in Civil Engineering preferred). · Strong analytical and problem-solving skills; proficiency in Excel and basic data visualization tools. · Understanding of real estate or construction processes; eager to learn and adapt. · Excellent organizational, communication, and multitasking abilities. · Ability to work collaboratively across teams and handle fast-paced environments.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. SAP Analytics Cloud Job Description To provide Architecture and SME support for SAC Analytics Cloud tool To provide Enterprises reporting solution with knowledge of different reporting strategy for client deliverables To configure all the Infrastructure pre-requisite for Live and Import data connection with HANA To Participate in all the different phases of project (Plan, Design, Explore, Realise and Deploy) for SAP Analytics cloud deliverables. To perform sematic layer building in SCP, BW and ABAP CDS reporting architecture. To perform SAC object building like Public/ private Dimension, Account and Measure based SAC Models, Different Story page Template and visualization. To perform Currency set up in SAP Analytics cloud for all the Analytical and Planning requirement. To perform Business Planning scenario through SAC inbuilt functionality – Data Action, Advance Data Action and Allocation. To perform all the Planning activity scheduling through Calendar and data locking and validation rules. To perform all the Smart, predict features capability and leverage in SAP Analytics cloud. To Build Geo -enriched visualization with HANA and S4/HANA (live and import) data sources in SAC. To build Dashboard and Agenda in Digital boardroom with knowledge of all styling and navigations. To leverage and implement ML and AI scenarios of Smart Insight, Smart Discovery and Search to Insight features in Reports/Visualization. To build highly customizable Dashboard through Analytical applications in SAC. To perform Java scripting with different scripting API’s in Analytical application with Analytical and Planning capable application. Ability to lead customer workshops and educational sessions around SAP Analytics cloud and data integrity concepts and tool functionality. Good knowledge of data warehousing and visualization concept of reporting. Create unit test cases and perform unit testing Create necessary documentation as per methodology Demonstrates a strong sense of ownership Skills and Experience: Minimum of 3 to 5 year of Hands-on experience in implementing SAP Analytics cloud solutions. Ability to understand and validate business scenario and apply design thinking Strong knowledge of understanding in requirement gathering and designing/building Analytical and planning concepts & scenarios. Strong working knowledge in Native HANA Modelling. Strong working Knowledge in ABAP CDS view modelling. Strong knowledge on Reporting strategy and modelling. Nice to have: Experience in Enterprise Data Warehousing in both Relational and Multi-Dimensional Data Modelling Techniques Knowledge on web dispatcher and reverse proxy connection. Experience in R programming for statistical visualization. Experience in SAP BPC planning and Allocation. Experience on Design Studio and/or Java script. Experience on SAP HANA Administration. Expertise in Native Hana hands-on development experience: Creating SAP HANA information models such as Procedure and Hana Views (Attribute, Analytics and Calculation views) with graphical and SQL Scripting, Integration with S/4 Hana system and Universe. Strong hands-on experience in SAP Analytics (Lumira, Webi, Analysis for office, Bex Report) Knowledge on various cloud systems like SuccessFactors, Ariba, Fieldglass, Concur, Google Cloud Platform etc. Experience in creating and consuming OData services (both SAP and Non-SAP). EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Havas CSA is seeking a Data Scientist with 2-4 years of experience to contribute to advanced analytics and predictive modelling initiatives. The ideal candidate will combine strong statistical knowledge with practical business understanding to help develop and implement models that drive customer value and business growth. Responsibilities: Implement and maintain customer analytics models including CLTV prediction, propensity modelling, and churn prediction Support the development of customer segmentation models using clustering techniques and behavioural analysis Assist in building and maintaining survival models to analyze customer lifecycle events Work with large-scale datasets using BigQuery and Snowflake Develop and validate machine learning models using Python and cloud-based ML platforms, specifically BQ ML, ModelGarden and Amazon Bedrock Help transform model insights into actionable business recommendations Collaborate with analytics and activation teams to implement model outputs Present analyses to stakeholders in clear, actionable formats Qualifications: Bachelor's or master’s degree in Statistics, Mathematics, Computer Science, or related quantitative field 1-2 years’ experience in applied data science, preferably in marketing/retail Experience in developing and implementing machine learning models Strong understanding of statistical concepts and experimental design Ability to communicate technical concepts to non-technical audiences Familiarity with agile development methodologies Technical Skills: Advanced proficiency in: SQL and data warehouses (BigQuery, Snowflake) Python for statistical modeling Machine learning frameworks (scikit-learn, TensorFlow) Statistical analysis and hypothesis testing Data visualization tools (Matplotlib, Seaborn) Version control systems (Git) Understanding of Google Cloud Function and Cloud Run Experience with: Customer lifetime value modeling RFM analysis and customer segmentation Survival analysis and hazard modeling A/B testing and causal inference Feature engineering and selection Model validation and monitoring Cloud computing platforms (GCP/AWS/Azure) Key Projects & Deliverables Support development and maintenance of CLTV models Contribute to customer segmentation models incorporating behavioral and transactional data Implement survival models to predict customer churn Support the development of attribution models for marketing effectiveness Help develop recommendation engines for personalized customer experiences Assist in creating automated reporting and monitoring systems Soft Skills Strong analytical and problem-solving abilities Good communication and presentation skills Business acumen Collaborative team player Strong organizational skills Ability to translate business problems into analytical solutions Growth Opportunities Work on innovative data science projects for major brands Develop expertise in cutting-edge ML technologies Learn from experienced data science leaders Contribute to impactful analytical solutions Opportunity for career advancement We offer competitive compensation, comprehensive benefits, and the opportunity to work with leading brands while solving complex analytical challenges. Join our team to grow your career while making a significant impact through data-driven decision making. Contract Type : Permanent Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual’s ability to perform their job.

Line of Service Advisory Industry/Sector Not Applicable Specialism SAP Management Level Director Job Description & Summary At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. As a SAP consulting generalist at PwC, you will focus on providing consulting services across various SAP applications to clients, analysing their needs, implementing software solutions, and offering training and support for effective utilisation of SAP applications. Your versatile knowledge will allow you to assist clients in optimising operational efficiency and achieving their strategic objectives. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description: A career within SAP Consulting services, will provide you with the opportunity to help our clients maximize the value of their SAP investment with offerings that address sales, finance, supply chain, engineering, and human capital. We provide comprehensive consulting, system integration and implementation services across multiple SAP applications, products and technologies. Simply put, we focus on delivering business led, technology enabled change for our clients including industry specific enterprise resource planning and the latest in mobile, analytics and cloud solutions Responsibilities: • Design and architect AI solutions integrated with SAP systems to enhance business processes and decision-making capabilities. • Collaborate with business stakeholders and IT teams to identify opportunities for AI-driven improvements and innovations. • Lead the development and deployment of machine learning models and AI algorithms tailored to SAP applications. • Ensure that AI solutions are scalable, efficient, and aligned with best practices in AI and SAP environments. • Provide technical leadership and guidance to development teams, ensuring high-quality deliverables. • Stay up-to-date with the latest advancements in AI, machine learning, and SAP technologies to ensure the organization remains at the forefront of innovation. • Define and implement data strategies and pipelines to support AI initiatives within SAP ecosystems. • Participate in the design of cloud-based architectures for hosting AI applications, ensuring robust and secure integrations. • Conduct workshops and training sessions to promote AI literacy and best practices within the organization. • Evaluate and recommend new tools and technologies that can enhance the organization's AI and SAP capabilities. Mandatory skill sets: • Proven experience as an AI Architect or similar role, with a focus on SAP environments. • Strong expertise in SAP technologies, including SAP S/4HANA, SAP Cloud Platform, and SAP Leonardo. • Proficiency in AI and machine learning frameworks such as TensorFlow, PyTorch, or similar. • Experience with cloud platforms like AWS, Azure, or Google Cloud, particularly in deploying AI solutions. • Strong programming skills in languages such as Python, Java, or R. • Excellent problem-solving skills and the ability to work effectively in a collaborative environment. • Strong communication skills with the ability to convey complex technical concepts to non-technical stakeholders. Preferred skill sets: • Experience with natural language processing (NLP) and computer vision applications within SAP environments. • Familiarity with data visualization tools and techniques. • Experience in agile development methodologies. Years of experience required • 15-25 Yrs experience Education Qualification • BE/BTech/MBA/MCA/CAs Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills SAP Architecture Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Analytical Thinking, Business Case Development, Business Process Improvement, Change Control Processes, Coaching and Feedback, Communication, Costing, Creativity, Embracing Change, Emotional Regulation, Empathy, Inclusion, Influence, Innovation, Intellectual Curiosity, IT Project Lifecycle, Kanban (Project Management), Learning Agility, Optimism, Plan of Action and Milestones (POA&M), Process Mapping {+ 35 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Key Responsibilities: * 3D Modelling and Texturing: Create high-quality 3D models of event spaces, props, and other elements. * Visualization: Produce stunning 3D visualizations and renderings to effectively communicate design ideas to clients and internal teams. * Collaboration: Work closely with designers, producers, and other team members to ensure seamless integration of 3D elements into event productions. * Technical Proficiency: Stay up to date with the latest 3D software and techniques. * Problem-Solving: Identify and resolve technical challenges related to 3D design. * Time Management: Efficiently manage multiple projects and meet tight deadlines. Required Skills and Experience: * 5-8 years of experience in 3D design and rendering. * Proficiency in industry-standard 3D software such as 3ds Max & Unreal Engine. Rendering software such as Vary, Lumion Etc. * Strong understanding of 3D modelling, texturing, lighting, and rendering techniques. * Ability to create realistic and visually appealing 3D designs and renderings. * Strong attention to detail and a keen eye for design. * Ability to work independently and as part of a team. * A portfolio showcasing a strong understanding of 3D design and visualization.

Relocation Assistance Offered Within Country Job Number #168282 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specialising in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Title: Data Platform Engineer Bried Introduction- In the constantly evolving technology landscape, being a member of Colgate's information technology team is extraordinarily exciting. Our skilled and innovative team is committed to propelling Colgate Palmolive's growth in this dynamic environment. We are inviting candidates to join us as a Data platform engineer to support building a data-driven culture within Colgate. Data visualization engineer will be responsible for supporting, monitoring and setting governance around all visualization tools. The ideal candidate is highly self-motivated and can work well both independently and within a team. The Candidate will work closely with the multi-functional teams, partners, and customers to identify and prioritize features based on customer needs and business value to fully apply the capability of the tools.: Responsibilities (4-6 bullet points): Supporting all the existing tools in the organization. Work with partners including the Executive, Developers, Data engineers to assist with Visualization platform related technical issues and support their data infrastructure needs Collaborate, coordinate, and communicate across disciplines, departments, and segments Create and update documentation for the purposes of architectural governance and support or the tools that are used Educate users on standard methodologies and Stay updated with the latest trends and technologies in data visualization. Prepare and maintain documentation of processes, standards. Recommend and participate in evaluation of new tools or technologies to improve current architecture or design Respond to support tickets and solve issues. Maintain and enhance existing visualization tools to improve usability and performance. Required Qualifications (3-5 bullet points): Bachelor's degree in Computer Science, Information Technology. 2 to 3 years of experience with data visualization tools and methods - DOMO, Sigma, Google studio, Tableau, Smartsheet. Ability to communicate, cultivate collaboration with different functional teams. Ability to handle complexity to provide customers with simple solutions. Preferred Qualifications (3-5 bullet points): Technical platform knowledge and business process knowledge to optimally connect with team members. Experience with data warehousing technologies and methodologies. Experience with SQL for data manipulation and analysis. Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

About Firstsource Firstsource is a specialized global business process management partner. We provide transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, and other diverse industries.With an established presence in the US, the UK, India, Mexico, Australia, and the Philippines, we act as a trusted growth partner for leading global brands, including several Fortune 500 and FTSE 100 companies. Key Responsibilities Perform data analysis to uncover patterns, trends, and insights to support decision-making. Build, validate, and optimize machine learning models for business use cases in EdTech, Healthcare, BFS and Media. Develop scalable ETL pipelines to preprocess and manage large datasets. Communicate actionable insights through visualizations and reports to stakeholders. Collaborate with engineering teams to implement and deploy models in production (good to have). Core Skills Data Analysis: Expert in Python (Pandas, NumPy), SQL, R, and exploratory data analysis (EDA). Machine Learning: Skilled in Scikit-learn, TensorFlow, PyTorch, and XGBoost for predictive modeling. Statistics: Strong understanding of regression, classification, hypothesis testing, and time-series analysis. Visualization: Proficient in Tableau, Power BI, Matplotlib, and Seaborn. ML Engineering (Good to Have): Experience with model deployment using AWS SageMaker, GCP AI, or Docker. Big Data (Good to Have): Familiarity with Spark, Hadoop, and distributed computing frameworks. ⚠️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

Job Description: Forecasting Specialist with Expertise in Inventory Management We are looking for a Forecasting Specialist with a strong background in inventory management and data-driven demand forecasting . This role is focused on optimizing inventory levels and enhancing supply chain efficiency through advanced forecasting models and analytical tools. The ideal candidate will bring expertise in statistical forecasting, data analysis, and technical systems to improve retail inventory operations. Responsibilities Statistical Demand Forecasting : Utilize advanced statistical techniques (e.g., ARIMA , exponential smoothing , seasonal decomposition , regression models ) to create accurate demand forecasts and inventory plans. Inventory Optimization : Apply mathematical models like EOQ (Economic Order Quantity) , Safety Stock Calculation , and Replenishment Algorithms to optimize inventory levels and minimize holding costs. Data Analysis & Reporting : Extract and analyze large datasets from various sources, utilizing SQL and advanced analytics tools to forecast trends, detect anomalies, and ensure inventory alignment with demand. Forecasting Model Development : Continuously develop, refine, and evaluate statistical models to improve forecasting accuracy and adapt to changing consumer behavior. System Integration : Work with ERP systems (e.g., SAP , Oracle ) and integrate them with forecasting platforms (e.g., Demand Works , Forecast Pro ) to streamline inventory management processes and ensure real-time data synchronization. Automation and Scripting : Write Python or R scripts to automate data extraction, cleaning, analysis, and forecasting tasks. Data Visualization & Communication : Leverage tools like Power BI , Tableau , or Google Data Studio to build dashboards that present inventory insights and forecasting accuracy to stakeholders in an actionable format. Continuous Improvement : Apply machine learning techniques (e.g., regression models , decision trees , ensemble methods ) to enhance forecasting models and adapt to new retail trends. Key Technical Skills Statistical Tools & Forecasting : Expertise in R or Python for statistical analysis and time series forecasting. In-depth knowledge of forecasting techniques (ARIMA, Holt-Winters, Exponential Smoothing). Understanding of advanced regression and machine learning algorithms applied to demand prediction and trend analysis. SQL & Database Management Proficiency in writing complex SQL queries to extract and manipulate data from inventory and sales databases (MySQL, PostgreSQL, etc.). Experience working with relational databases and cloud-based solutions for inventory data management. Inventory Optimization Algorithms Advanced understanding of inventory models such as ABC Classification , Just-In-Time (JIT) , Reorder Point (ROP) , Safety Stock Optimization , and Vendor-Managed Inventory (VMI) . Ability to apply algorithms to dynamically adjust reorder quantities based on fluctuating demand. Data Visualization & Business Intelligence Expertise in data visualization tools like Power BI to present key performance metrics and inventory analytics to non-technical stakeholders. Ability to create interactive dashboards that display key inventory KPIs (e.g., stock levels, turnover rates, and demand forecasts). Automation & Scripting Proficient in Python (pandas, NumPy) or R for scripting and automating inventory analysis and forecasting processes. Experience with Jupyter Notebooks or RStudio for developing reproducible analysis workflows. Additional Skills Machine Learning (ML) : Knowledge of machine learning algorithms (e.g., XGBoost , Random Forests , Neural Networks ) for improving predictive accuracy in demand forecasting. Desired Qualifications Bachelor's degree in Statistics , Computer Science , Supply Chain Management , or a related field. Proven experience in a similar technical forecasting or inventory management role, preferably in a retail or e-commerce setting. Strong problem-solving skills and a keen attention to detail in data quality and accuracy. This is a high-impact, technical role where you will leverage your expertise in statistical forecasting , data analysis , and inventory optimization to drive significant improvements in retail inventory management systems. If you are passionate about using advanced data science techniques to solve complex supply chain problems, we encourage you to apply.

Talworx Is hiring For Transformation engineering Mandatory Bachelor's degree in computer science, Information Systems or another applicable field is preferred 5+ years of experience in Application development, deployment, and support Experience working across Java, JEE, JSP, Spring, Spring Boot (Microservices), Spring JPA, REST, JSON, Junit, React, Python, Javascript, HTML, and XML 3+ years of experience in a Platform/ Application Engineering role in support of on-prem and Cloud based deployments (Azure preferred) Good to Have: 3+ years of experience with Platform / Application Administration Extensive experience with software deployments on Linux and Windows systems Experience working on Spark, Docker, Containers, Kubernetes, Microservices, Data Analytics, Visualization Tools, & GIT Experience building and supporting modern AI technologies: Azure Open AI and LLM Infrastructure / Applications Experience deploying and maintaining applications and infrastructure via configuration management software (Ansible, Terraform) using IaC best practices Extensive scripting skills (e.g., bash, Python) Experience using GitHub to manage application and Infrastructure deployment lifecycles in structured CI/CD environment Experience working in structured ITSM change management environment Knowledge of the configuration of monitoring solutions and the creation of dashboards (Splunk, Wily, Prometheus, Grafana, Dynatrace, Azure Monitor)

Talworx Is hiring For Transformation engineering Mandatory Bachelor's degree in computer science, Information Systems or another applicable field is preferred 5+ years of experience in Application development, deployment, and support Experience working across Java, JEE, JSP, Spring, Spring Boot (Microservices), Spring JPA, REST, JSON, Junit, React, Python, Javascript, HTML, and XML 3+ years of experience in a Platform/ Application Engineering role in support of on-prem and Cloud based deployments (Azure preferred) Good to Have: 3+ years of experience with Platform / Application Administration Extensive experience with software deployments on Linux and Windows systems Experience working on Spark, Docker, Containers, Kubernetes, Microservices, Data Analytics, Visualization Tools, & GIT Experience building and supporting modern AI technologies: Azure Open AI and LLM Infrastructure / Applications Experience deploying and maintaining applications and infrastructure via configuration management software (Ansible, Terraform) using IaC best practices Extensive scripting skills (e.g., bash, Python) Experience using GitHub to manage application and Infrastructure deployment lifecycles in structured CI/CD environment Experience working in structured ITSM change management environment Knowledge of the configuration of monitoring solutions and the creation of dashboards (Splunk, Wily, Prometheus, Grafana, Dynatrace, Azure Monitor)

We are seeking a talented and detail-oriented Data Analyst to join our team. The ideal candidate will have a strong analytical mindset, excellent problem-solving skills, and proficiency in data visualization tools such as Looker Studio. Additionally, the candidate should have experience in Google Apps Script to automate data processes and enhance data analysis capabilities. The Data Analyst will play a crucial role in interpreting data, generating insights, and providing actionable recommendations to drive business decisions. Responsibilities: 1. Extract, clean, and analyze data from various sources to identify trends, patterns, and insights. 2. Develop and maintain reports, dashboards, and visualizations using Looker Studio to present data in a clear and concise manner. 3. Collaborate with cross-functional teams to understand business requirements and translate them into data analysis and reporting solutions. 4. Utilize Google Apps Script to automate repetitive tasks, streamline data processes, and enhance data analysis capabilities. 5. Perform ad-hoc analysis and data mining to support business initiatives and strategic decision-making. 6. Identify areas for process improvement and optimization based on data-driven insights. 7. Ensure data accuracy, consistency, and integrity by implementing data quality checks and validation processes. 8. Stay up-to-date with industry trends, best practices, and emerging technologies in data analytics and visualization. 9. Communicate findings and recommendations to stakeholders in a clear and concise manner through written reports and presentations. 10. Collaborate with IT and engineering teams to optimize data infrastructure and ensure data accessibility and reliability. Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or related field; Master's degree preferred. Proven experience as a Data Analyst or similar role, with expertise in data analysis, visualization, and interpretation. Proficiency in Looker Studio or similar data visualization tools. Strong programming skills, particularly in Google Apps Script, Python, or R. Experience working with SQL for data extraction and manipulation. Familiarity with statistical analysis techniques and machine learning concepts is a plus. Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable insights. Strong attention to detail and accuracy in all work tasks. Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams. Ability to work independently and manage multiple projects simultaneously in a fast-paced environment. Job Type: Full-time Pay: ₹15,000.00 - ₹18,000.00 per month Benefits: Provident Fund Application Question(s): What is your current monthly in hand salary ? What is your expected monthly in hand salary? Are you comfortable in 15k-18k monthly in hand salry? Do you know advanced excel (VLOOK UP, PIVOT, FORMULAS)? Do you have experience in google apps script? If yes then how many years? How many years of experience do you have in Data Studio? How many years of experience do you have in Data Analysis? Are you ok for Cantonment Road, Cuttack, Odisha location? What is your age? Location: Cuttack, Orissa (Preferred) Work Location: In person

Hi, Greetings from Peoplefy Infosolutions !!! We are hiring for one of our reputed MNC client based in Pune. We are looking for candidates with 10+ years of experience who is currently working as a Data Architect. Job Description: We are seeking a highly skilled and experienced Cloud Data Architect to design, implement, and manage scalable, secure, and efficient cloud-based data solutions. The ideal candidate will possess a strong combination of technical expertise, analytical skills, and the ability to collaborate effectively with cross-functional teams to translate business requirements into technical solutions. Key Responsibilities: Design and implement data architectures, including data pipelines, data lakes, and data warehouses, on cloud platforms. Develop and optimize data models (e.g., star schema, snowflake schema) to support business intelligence and analytics. Leverage big data technologies (e.g., Hadoop, Spark, Kafka) to process and analyze large-scale datasets. Manage and optimize relational and NoSQL databases for performance and scalability. Develop and maintain ETL/ELT workflows using tools like Apache NiFi, Talend, or Informatica. Ensure data security and compliance with regulations such as GDPR and CCPA. Automate infrastructure deployment using CI/CD pipelines and Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation). Collaborate with analytics teams to integrate machine learning frameworks and visualization tools (e.g., Tableau, Power BI). Provide technical leadership and mentorship to team members. Interested candidates for above position kindly share your CVs on sneh.ne@peoplefy.com

About the role Analyse complex datasets and make it consumable using visual storytelling and visualization tools such as reports and dashboards built using approved tools (Tableau, PyDash) You will be responsible for Following our Business Code of Conduct and always acting with integrity and due diligence and have these specific risk responsibilities: - Identifying operational improvements and finding solutions by applying CI tools and techniques - Responsible for completing tasks and transactions within agreed KPI's - Knows and applies fundamental work theories/concepts/processes in own areas of work -Engage with market partners to understand problems to be solved, translate the business problems to analytical problems, taking ownership of specified analysis and translate the answers back to decision makers in business - Manipulating, analyzing and synthesizing large complex data sets using different sources and ensuring data quality and integrity - Responsible for high quality and timely completion of specified work deliverables - Support automation of repeatable tasks, report generation or dashboard refresh - Think beyond the ask and develop analysis and reports that will contribute beyond basic asks - Write codes that are well detailed, structured, and compute efficient - Contribute to development of knowledge assets and reusable modules on GitHub/Wiki - Ability to generate practical insights that drive decisions in our business operations - Understands business needs and in depth understanding of Tesco processes You will need Basic understanding of Business Decisions, Basic Skills to 1-2 year Experience preferred in analytics delivery in any one of develop visualizations, self-service dashboards and reports using domains like retail, cpg, telecom or hospitality and for one of the Tableau & Basic Statistical Concepts (Correlation Analysis and following functional areas - marketing, supply chain, customer, Hyp. Testing), Basic skills to analyze data using Adv Excel, SQL, merchandising, operations, finance or digital preferredHive, Basic DW concepts on Hadoop and Teradata, Automation using alteryx/ python is good to have Whats in it for you? At Tesco, we are committed to providing the best for you. As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day. Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits. Total Rewards offered at Tesco is determined by four principles - simple, fair, competitive, and sustainable. Salary - Your fixed pay is the guaranteed pay as per your contract of employment. Performance Bonus - Opportunity to earn additional compensation bonus based on performance, paid annually Leave & Time-off - Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company’s policy. Making Retirement Tension-FreeSalary - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF. Health is Wealth - Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws. Mental Wellbeing - We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents. Financial Wellbeing - Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request. Save As You Earn (SAYE) - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan. Physical Wellbeing - Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle. About Us Tesco in Bengaluru is a multi-disciplinary team serving our customers, communities, and planet a little better every day across markets. Our goal is to create a sustainable competitive advantage for Tesco by standardising processes, delivering cost savings, enabling agility through technological solutions, and empowering our colleagues to do even more for our customers. With cross-functional expertise, a wide network of teams, and strong governance, we reduce complexity, thereby offering high-quality services for our customers. Tesco in Bengaluru, established in 2004 to enable standardisation and build centralised capabilities and competencies, makes the experience better for our millions of customers worldwide and simpler for over 3,30,000 colleagues. Tesco Business Solutions: Established in 2017, Tesco Business Solutions (TBS) has evolved from a single entity traditional shared services in Bengaluru, India (from 2004) to a global, purpose-driven solutions-focused organisation. TBS is committed to driving scale at speed and delivering value to the Tesco Group through the power of decision science. With over 4,400 highly skilled colleagues globally, TBS supports markets and business units across four locations in the UK, India, Hungary, and the Republic of Ireland. The organisation underpins everything that the Tesco Group does, bringing innovation, a solutions mindset, and agility to its operations and support functions, building winning partnerships across the business. TBS's focus is on adding value and creating impactful outcomes that shape the future of the business. TBS creates a sustainable competitive advantage for the Tesco Group by becoming the partner of choice for talent, transformation, and value creation

Job Description So where do you fit here? Our client comes first. This means that NIQ technical Senior support teams are here to help. As a Senior Support Manager, you will be responsible for your team’s high quality and in-depth technical support to internal and external users of Production systems. You will work with and manage global teams across all regions at NIQ. You will have exposure to all aspects of our business as well as an opportunity to learn and work on many different technologies. You will be expected to own all aspects of production quality. This is a fast-paced and exciting role especially as NIQ introduces many new and innovative solutions. The Senior Support Manager role requires you to be ready for anything and to be agile enough to tackle challenges as they come your way. RESPONSIBILITIES : Strong verbal and written communication skills with the ability to provide detailed analysis and simplified explanation up to the executive level Drive long-term solutions to high impact production issues and problem resolution across technical, operations, product teams Process improvement for identifying trends in issues and providing feedback to higher level management Manager teams responsible for: Responding to incidents created from external and internal users - replicate issues, triage, provide workarounds, restore services, and work with delivery teams if defects require permanent solutions Providing meaningful analysis of issues back to users and provide timely update for any on-going problems Performing user maintenance to resolve issues Fulfilling Standard Service Requests and execute actions based on standard operating procedures Performing routine smoke testing, system monitoring and job monitoring and respond to issues Providing consistent updates on tickets and monitor the progress in respective ticketing tools End to end coordination of issue to resolution with the user, other support teams, operations, technical delivery teams and vendors if required Identify urgent issues and escalate appropriately, participate in Incident and Problem management Maintain support documentation - Standard Reporting, Knowledge Base, FAQs, Job Aides Ensure compliance to standard NIQ Practices / Tools, ITIL, Google, ServiceNow, and JIRA suite (VM) Good understanding of overall application infrastructure is must Internally prioritize work based on incident priority and deadlines Relevant experience into Business Application Support 15 + years ITIL & ITSM is a must skill (Incident and Problem Management they must have experience) Understanding or exposure to cloud concepts-any one cloud will also be fine Implementation of alerts and monitoring on production systems Experience in Managing Support Engineer including people management skills Experience in Managing 24 X 7 Support including on weekend on calls Pinpoint affected application components to focus teams on stabilizing critical user experiences. Intelligently Identify significant events and patterns based on real time analysis and past experiences Handling minimum 5 members of support team Experience in Monitoring & Observability Experience in handling production deployment activities Hands-on in-Service request fulfillment Support for Server/DB patching, firewall changes Liaise with L3 team for fixes Emergency fixes provided by delivery team are managed, with notification to triage team. Configuration activities (product level hot fixes for basic file and data issues) Help define and implement our Enterprise Monitoring strategy for Multi-Cloud Monitoring and Observability. This includes the collection, delivery, analysis, and visualization of Key monitoring telemetry data around metrics, logs, and traces. Assist in building Service Management Process for monitoring platforms covering day-to-day operations, incidents, change, SLA management and Capacity Management Develop onboarding and integration process and assist in User adoption of monitoring and observability capabilities. Provide support to Internal processes related to audit, Compliance, and Risk for monitoring and observability platforms and services Help define monitoring standards, procedures and manage stakeholder engagement, metrics reporting and monitoring standards governance function Directly collaborate with End Users, Command Center, Production Support teams and all product stakeholders to understand business requirements, help drive alignment, and build thoughtful solutions Drive the vision for monitoring & analytic engineering across product verticals and define the execution path to achieve the vision Proactively identify reliability & data quality problems and drive triaging and remediation process Invest in continuous employee development of a highly technical team by mentoring and coaching engineers and technical leads in the team Recruit and attract top talent Drive execution and delivery by collaborating with cross functional teams, architects, product owners and engineers Solid experience in building and evolving large scale distributed systems to reliably process. Build and lead a team of engineers to deliver reliable, scalable and secure monitoring and analytic services for various business needs Qualifications Bachelor’s degree in Engineering, Computer Science, or related field Good Hands on experience of some unix shell script ,PL/SQL, Python, Postgres, Mongo DB, MS SQL server programming language Expertise in data processing techniques. Experience building services on public cloud platforms like GCP, AWS, Azure Automation experience Strong communication skills Exposure to Native Monitoring, troubleshooting skills in the tools including but not limited [DataDog ,Logic Monitor, Pager Duty] DataDog Dashboard Creation and Dashboard Tuning and optimization for batch jobs Providing thought Leadership during production triage and incident management call Ability to work flexible & extended work hours as needed Positive attitude, team player, self-starter; takes initiative, ability to work independently Comfort working in an Agile environment Advanced knowledge in infrastructure components. [cloud services, containerization, compute, storage, networking system, On Prem infrastructure] Must Have: Exceptional Communication Skills, Flexibility to work in 24 x 7 Shift rotations – Including weekends. Application Support experience in a Microsoft Azure Cloud environment, Microsoft Office Tools, SQL expertise, Analytic Reporting Suite, Metric Dashboards and Application monitoring tools such as Datadog, Logic Monitor, Pager Duty Nice to Have: Experience in Global Command Center and SRE practices is a plus Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

Summary Position Summary Artificial Intelligence & Engineering Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You’ll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements. ROLE Level: Consultant As a Consultant at Deloitte Consulting, you will be responsible for individually delivering high quality work product within due timelines in agile framework. On requirement basis consultants will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements. The work you will do includes: Understand business requirements and processes Develop software solutions using industry standard delivery methodologies like Agile, Waterfall across different architectural patterns Write clean, efficient, and well-documented code maintaining industry and client standards ensuring code quality and code coverage adherence as well as debugging and resolving any issues/defects Participate in delivery process like Agile development and actively contributing to sprint planning, daily stand-ups, and retrospectives Resolve issues or incidents reported by end users and escalate any quality issues or risks with team leads/scrum masters/project leaders Develop expertise in end-to-end construction cycle starting from Design (low level and high level), coding, unit testing, deployment and defect fixing along with coordinating with multiple stakeholders Create and maintain technical documentation, including design specifications, API documentation and usage guidelines Demonstrate problem-solving mindset and ability to analyze business requirements Qualifications Skills / Project Experience: Must Have: Excellent written and verbal communication skills 3 to 6 years of experience working on Microservices Architecture, Web services, API development, Enterprise integration layer Implement Microservices architecture, visualization, and development processes Strong technical skills in Java and Spring Boot framework Experience in Restful and SOAP Webservices Experience implementing services layer using more than one integration technologies Knowledge on API management, Service discovery, service orchestration, security as a service Implementation experience in XML, Version Control Systems like GIT hub & SVN and build tools Maven/Gradle/ANT Builds Experience in best practices such as OOPs Principles, Exception handling and usage of Generics and well-defined reusable easy to maintain code and tools like JUnit, Mockito, SOAP UI, Postman, Check style, SonarQube etc. Experience in SQL like MYSQL/PostgreSQL/Oracle and frameworks such as JPA/Hibernate Experience using logging and monitoring tools like Splunk, Dynatrace or similar Good to Have: Experience in working with Docker and Kubernetes is preferred Experience in NoSQL like MongoDB, DynamoDB etc. Experience in at least one cloud platform – AWS/Azure/GCP Experience of Build and Test Automation and Continuous Integration (CI) using Jenkins/Hudson tools Knowledge of Agile and Scrum Software Development Methodologies Experience with NoSQL and DevOps Knowledge on design patterns like circuit breaker pattern, proxy pattern, etc. Experience in using messaging broker tools like Apache Kafka, ActiveMQ, etc. Experience in deploying Microservices on cloud platforms Education: B.E./B. Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university Prior Experience: 3 – 6 years of experience working with hands-on Microservices, Spring boot on cloud technologies Location: Bengaluru/Hyderabad/Pune/Mumbai The Team Deloitte Consulting LLP’s Technology Consulting practice is dedicated to helping our clients build tomorrow by solving today’s complex business problems involving strategy, procurement, design, delivery, and assurance of technology solutions. Our service areas include analytics and information management, delivery, cyber risk services, and technical strategy and architecture, as well as the spectrum of digital strategy, design, and development services Core Business Operations Practice optimizes clients’ business operations and helps them take advantage of new technologies. Drives product and service innovation, improves financial performance, accelerates speed to market, and operates client platforms to innovate continuously. Learn more about our Technology Consulting practice on www.deloitte.com Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300269

About us: We are a revolutionary B2B Ed-Tech startup based out of Noida, India. We help educators and content creators embark on their digital teaching journeys by providing them with a platform that empowers them to seamlessly transition online, offering live classes, storage solutions, transaction features, content monetization, and much more – all in one super app.📱 We recognized the potential of educators and content creators, not just across India's tier 1 and tier 2 cities, but beyond, and became their secret “weapon of mass instruction”. 🌏 What sets us apart? 🌟 We thrived in the post-pandemic era. Today, we support a whopping 1 lakh+ educators and content creators from over 3,000 towns and cities . We have educators from test prep categories to new-age content creators teaching personal finance, cooking, digital marketing, organic farming, and many more, breaking barriers and reaching students globally using their own branded apps. Their growth has been meteoric, with some of them seeing revenue growth of more than 10X of what they did pre-Classplus. 📈 We’re Series-D funded and have marquee investors including Alpha Wave, Tiger Global, Sequoia Capital's Surge, Times Internet, Blume Ventures, and GSV Ventures put their faith in us.💰 Do you want to work with people who are creative, fun, and dynamic? Do you have what it takes to help us take this rocketship even higher? Find out below! Role Overview As a Product Analyst at Classplus, you will play a pivotal role in transforming data into actionable insights. You will work closely with cross-functional teams to understand their data needs, create comprehensive dashboards and reports, and automate processes to enhance efficiency. Your expertise in SQL, MongoDB, and Python will be crucial in driving data-driven decision-making across the organization. What will you do? Dashboard and Report Creation: Design and develop insightful dashboards and reports using SQL and MongoDB. Monitor and maintain data quality to ensure accurate reporting. Translate complex data sets into clear and actionable insights for stakeholders. Inter-team Collaboration: Collaborate with various teams (Product, Marketing, Sales, etc.) to gather and understand data requirements. Provide data support for strategic planning, product development, and other key initiatives. Conduct regular meetings to discuss data findings and recommend actionable steps. Automation Setup: Develop and implement automation scripts using Python to streamline data collection, processing, and reporting. Maintain and improve existing data pipelines and automation processes. Ensure scalability and reliability of automation solutions to support the growing data needs of the organization. You should apply, if you Are a Seasoned Veteran: Bachelor’s degree in Computer Science, Statistics, Economics, or a related field and proven experience (2+ years) as a Product Analyst, Business Analyst, or similar role. Know your toys: Proficiency in SQL and experience with MongoDB as well as strong programming skills in Python. Bring that ‘X-tra’ factor: Excellent analytical and problem-solving skills. Are a real charmer: Strong communication skills with the ability to present complex data insights to non-technical stakeholders. Can fluidly adjust anywhere: Ability to work independently and as part of a team in a fast-paced environment. Hands-on experience with data visualization tools (e.g., Tableau, Power BI) is a plus. Being a Part of the Clan! At Classplus, you’re not an “employee” but a part of our “Clan”. So, you can forget about being bound by the clock as long as you’re crushing it workwise😎. Add to that some passionate people working with and around you, and what you get is the perfect work vibe you’ve been looking for! It doesn’t matter how long your journey has been or your position in the hierarchy (we don’t do Sirs and Ma’ams) ; you’ll be heard, appreciated, and rewarded. One can say, we have a special place in our hearts for the Doers ! ❤ Are you a go-getter with the chops to nail what you do? Then this is the place for you.

Sprinklr is a leading enterprise software company for all customer-facing functions. With advanced AI, Sprinklr's unified customer experience management (Unified-CXM) platform helps companies deliver human experiences to every customer, every time, across any modern channel. Headquartered in New York City with employees around the world, Sprinklr works with more than 1,000 of the world’s most valuable enterprises — global brands like Microsoft, P&G, Samsung and more than 50% of the Fortune 100. Learn more about our culture and how we make our employees happier through The Sprinklr Way. Job Description Job Title: Services Operations Analyst Location: Remote Job Summary: We are seeking a highly motivated and detail-oriented Services Operations Analyst to support the Professional Services organization at Sprinklr. This individual will serve as a trusted advisor to the Delivery Leadership team, contributing to strategic planning, business process optimization, and data-driven decision-making. The role plays a critical part in enhancing service delivery efficiency, resource planning, and revenue forecasting through insightful analysis and reporting. Key Responsibilities: Operational Analytics: Analyze key performance indicators (KPIs) to evaluate the effectiveness of service delivery and identify improvement opportunities. Revenue Forecasting: Support accurate revenue recognition and forecasting models in collaboration with Finance and Delivery teams. Resource Management: Monitor and optimize resource allocation, utilization rates, and project staffing. Process Optimization: Identify gaps in current workflows and recommend scalable process improvements to enhance operational efficiency. Reporting & Dashboards: Create and maintain detailed operational reports, dashboards, and executive summaries to support business reviews and strategic planning. Cross-functional Collaboration: Partner with Finance, Sales, HR, and Delivery teams to align operational activities with organizational goals. Project Support: Assist in the execution and monitoring of key initiatives and programs within the Professional Services organization. Qualifications: Bachelor's degree in business, Finance, Operations, or a related field; MBA or advanced degree is a plus. 2–5 years of experience in operations analysis, preferably within professional services, SaaS, or consulting environments. Strong analytical and quantitative skills with proficiency in Excel, SQL, and data visualization tools (e.g., Tableau, Power BI). Familiarity with professional services tools and platforms (e.g., PSA tools like Mavenlink, FinancialForce, or OpenAir) is a plus. Exceptional attention to detail and organizational skills. Ability to communicate complex data insights clearly and effectively to non-technical stakeholders. Self-starter with the ability to thrive in a fast-paced and dynamic environment. Why You’ll Love Sprinklr: A chance to work with a high-impact, fast-growing global company. Work on strategic projects that influence real business outcomes. Join a team that values innovation, collaboration, and continuous improvement. Opportunities for growth and professional development. Why You'll Love Sprinklr: We're committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter. At Sprinklr, we passionately, genuinely care. For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world. For more information on Sprinklr Benefits around the world, head to https://sprinklrbenefits.com/ to browse our country-specific benefits guides. We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier. Our vision is to be the world’s most loved enterprise software company, ever. We believe in our product: Sprinklr was built from the ground up to enable a brand’s digital transformation. Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world. At Sprinklr, we have many of the world's largest brands as our clients, and our employees have the opportunity to work closely alongside them. We invest in our people: At Sprinklr, we believe every human has the potential to be amazing. We empower each Sprinklrite in the journey toward achieving their personal and professional best. For wellbeing, this includes daily meditation breaks, virtual fitness, and access to Headspace. We have continuous learning opportunities available with LinkedIn Learning and more. EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we’re more innovative, creative, and successful. Sprinklr is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. See also Sprinklr’s EEO Policy and EEO is the Law.

Company Description Radixlink delivers customer relationship management (CRM) and cloud consulting solutions to businesses of all sizes. As a certified registered consulting partner of Salesforce.com, we are dedicated to optimizing the effectiveness of your business applications. Our mission is to ensure project perfection and client satisfaction. Our unparalleled commitment, dedication, and motivation make us unique in the market. Key Responsibilities: Design, build, and maintain SQL queries and Python scripts for analyzing trading, risk, and reference data across asset classes. Collaborate with trading desks, risk managers, and compliance teams to transform business needs into scalable technical solutions. Develop and automate tools to improve trade lifecycle processes, reconciliation, and reporting efficiency. Contribute to the modernization of post-trade operations with evolving regulatory requirements. Exposure to regulatory themes like Dodd-Frank, T+1, or Basel frameworks is a plus Document technical specifications, data definitions, and control procedures to support governance and transparency. Qualifications & Skills: 4 8 years of experience in capital markets, ideally within trading, risk, or operations functions. Advanced proficiency in SQL and Python for data analysis and automation. Strong understanding of financial instruments including equities, fixed income, and derivatives, as well as the trade lifecycle. Experience working with regulatory frameworks such as Dodd-Frank, Basel III, or T+1 settlement initiatives is a plus. Excellent analytical thinking, problem-solving skills, and communication abilities to engage with cross-functional stakeholders. Familiarity with data visualization platforms (e.g., Power BI, Tableau) and cloud environments (e.g., Azure, AWS) is preferred. Bachelor s or Master s degree in Finance, Economics, Computer Science, or a related field.