217 Data Handling Jobs - Page 6

Identify, analyze, and interpret trends or patterns in complex data sets. Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems. Work with management to prioritize business. Required Candidate profile Knowledge of and experience with reporting packages databases (SQL etc), programming (XML, Javascript, or ETL frameworks). Adept at queries, report writing and presenting findings. Perks and benefits Flexible work arrangements.

Job Title Data Scientist Predictive Analytics & Machine-Learning Solutions Location : Business Unit: Business Intelligence Why this role exists Fusion Business Solutions (P) Ltd. helps clients turn operational data into competitive advantage. As a Data Scientist you will design and deliver predictive models, machine-learning pipelines and data-driven insights that accelerate decision-making for both internal stakeholders and external customers. What you will do: Translate high-level business goals into data questions and measurable success criteria. Acquire, clean and combine large structured and unstructured datasets; document assumptions and data-quality checks. Explore data to uncover patterns, drivers and anomalies; present findings through clear visual stories and executive briefs. Build, validate and tune forecasting, classification, regression, recommendation and clustering models with modern open-source libraries. Package models for production with reproducible code, versioned artefacts and automated tests; deploy via REST APIs, batch jobs or embedded BI dashboards. Monitor accuracy, drift and usage; schedule retraining or rollback when thresholds are breached. Collaborate with data engineers on pipeline design and with BI developers on dashboard integration. Advise on A/B-test design and causal-impact analysis. Coach analysts and junior team members in statistical thinking, coding best practices and responsible AI principles. Technology you are likely to touch Python (pandas, scikit-learn, PyTorch/TensorFlow) SQL Spark or PySpark Docker, MLflow (or similar) Airflow/DBT GitHub Actions Power BI (or equivalent) At least one major cloud environment (AWS, GCP or Azure) Familiarity with generative-AI frameworks, NLP libraries or computer-vision toolkits is a plus. Must-have qualifications Three or more years of hands-on experience building and deploying predictive-analytics or machine-learning solutions that delivered measurable business value. Strong SQL skills and experience modelling datasets larger than 100 GB. Proficiency in Python (or R) for data analysis, modelling and automation. Practical understanding of model lifecycle management—including experiment tracking, version control, containerisation and CI/CD. Ability to explain technical concepts to non-technical audiences and to write concise technical documentation. Good-to-have extras Insurance domain exposure —experience working with policy, claims, premium or commission data; familiarity with underwriting or fraud-detection use cases; understanding of regulatory frameworks such as HIPAA, NAIC or IFRS 17. Experience in other FBSPL focus areas—accounting/BFSI workflows (general ledger, AP/AR), e-commerce fulfilment, RPA-driven back-office processes, or data-annotation quality control. Cloud-native ML services (AWS SageMaker, Google Vertex AI, Azure ML) and MLOps best practices. Time-series forecasting, optimisation algorithms or deep-learning frameworks. Certifications such as AWS Machine Learning Specialty, Microsoft DP-100, UiPath RPA Developer, or equivalent.

Excellent in Data handling. Proficient in excel, word, outlook, and PowerPoint. Excellent communication and interpersonal skills. knowledge of computer and IT systems. Excellent organizational and time-management skills. Required Candidate profile knowledge of computer and IT systems. Excellent organizational and time-management skills Educational Qualification: Bachelor's degree in any field.

Were Hiring: Python + GCP Engineer (Dataiku) Experience: 68 Years Location: Bangalore / Chennai / Gurugram Company: Derisk360 Are you passionate about building data solutions on the cloud and experienced in Python and GCP BigQueryJoin our team to build scalable pipelines, automate processes, and enable smarter decision-making with Dataiku and modern cloud tooling What Youll Do: Build and manage data workflows in Dataiku, including partitioned datasets Develop and optimize Python scripts for complex data transformations using pandas, numpy, and regex Integrate data sources and orchestrate transformations using Google Cloud Platform (BigQuery) Use Terraform to manage infrastructure and deployment of code changes in a scalable, automated fashion Collaborate with data scientists, analysts, and DevOps to deliver end-to-end data solutions What You Bring: 52+ years of hands-on experience with Dataiku, particularly working with partitioned datasets Strong command of Python, especially for data handling using pandas and numpy Practical knowledge of regular expressions (regex) for data cleaning and transformation Proficiency with GCP BigQuery for querying and managing large datasets Experience using Terraform to manage cloud infrastructure and code deployments Nice to Have: Exposure to CI/CD practices in data workflows Prior experience in data governance, metadata management, or MLOps environments What Youll Get: Competitive compensation and hybrid flexibility Opportunity to work on large-scale, impactful cloud data projects Collaborative culture with a strong focus on technical excellence and learning Access to cutting-edge tools in the data engineering ecosystem

Overview The Gen AI engineer will be part of a team which designs, builds, and operates the AI services of Siemens Healthineers (SHS). The ideal candidate for this role will have experience with AI services. The role will require the candidate to develop and maintain artificial intelligence systems and applications that help businesses and organizations solve complex problems. The role also requires expertise in machine learning, deep learning, natural language processing, computer vision, and other AI technologies. Task and Responsibilities Generative AI Engineer is responsible for designing, architecting, and development of AI product/service. The main responsibilities include Designing, developing, and deploying Azure-based AI solutions, including machine learning models, cognitive services, and data analytics solutions. Collaborating with cross-functional teams, such as data scientists, business analysts, and developers, to design and implement AI solutions that meet business requirements. Building and training machine learning models using Azure Machine Learning, and tuning models for optimal performance. Developing and deploying custom AI models using Azure Cognitive Services, such as speech recognition, language understanding, and computer vision. Creating data pipelines to collect, process, and prepare data for analysis and modeling using Azure data services, such as Azure Data Factory and Azure Databricks. Implementing data analytics solutions using Azure Synapse Analytics or other Azure data services. Deploying and managing Azure services and resources using Azure DevOps or other deployment tools. Monitoring and troubleshooting deployed solutions to ensure optimal performance and reliability. Ensuring compliance with security and regulatory requirements related to AI solutions. Staying up-to-date with the latest Azure AI technologies and industry developments, and sharing knowledge and best practices with the team. Qualifications Overall 5+ years combined experience in IT and recent 3 years as AI engineer. Bachelor's or master's degree in computer science, information technology, or a related field. Experience in designing, developing, and delivering successful AI Services. Experience with cloud computing technologies, such Azure. Relevant industry certifications, such as Microsoft CertifiedAzure AI Engineer, Azure Solution Architect etc. is a plus. Excellent written and verbal communication skills to collaborate with cross-functional teams and communicate technical information to non-technical stakeholders. Technical skills Proficiency in programming languagesYou should be proficient in programming language such as Python and R. Experience of Azure AI servicesYou should have experience with Azure AI services such as Azure Machine Learning, Azure Cognitive Services, and Azure Databricks. Data handling and processingYou should be proficient in data handling and processing techniques such as data cleaning, data normalization, and feature extraction. Knowledge of SQL, NoSQL, and big data technologies such as Hadoop and Spark are also beneficial. Experience with Cloud platformYou should have a good understanding of cloud computing concepts and experience working with Azure services such as containers, Kubernetes, Web Apps, Azure Front Door, CDN, Web Application firewalls etc. DevOps and CI/CDYou should be familiar with DevOps practices and CI/CD pipelines. This includes tools such as Azure DevOps & Git. Security and complianceYou should be aware of security and compliance considerations when building and deploying AI models in the cloud. This includes knowledge of Azure security services, compliance frameworks such as HIPAA and GDPR, and best practices for securing data and applications in the cloud. Machine learning algorithms and frameworksKnowledge of machine learning algorithms and frameworks such as TensorFlow, Keras, PyTorch, and Scikit-learn is a plus.

1. Dataiku exp of at least 1.5-2 years. Good to know on creating and handling partitioned dataset in Dataiku. 2. Good with Python, data handling using pandas, numpy (Pandas and numpy are must and must know it in depth) and basics of regex. 3. Should be able to work on GCP big query and use terraform as base for managing the code changes.

MSCI Services is looking for a Sr. Associate - Enterprise Quality and Operations to provide end-to-end test support for production operations and key projects through automated testing. Responsibilities: Create and enhance automated test frameworks to support change projects as well as for production quality checks. Create automated tests. Execute automated tests. Be the quality gatekeeper . Qualifications: 10+ years of Software Development in Test experience. Expertise in Python, Database, and high-volume data handling . Experience with Manual and Automated testing tools . Knowledge of Cloud Computing .

MSCI Services is looking for an Analyst - Enterprise Quality and Operations . This role provides End to End Test support for production operations and key projects through automated testing. Responsibilities: Create and enhance automated test frameworks to support change projects and for production quality checks. Create automated tests. Execute automated tests. Be the quality gatekeeper . Qualifications: Hands-on experience in Python . Proficiency with Databases and high-volume data handling . Experience with Manual and Automated testing tools . Familiarity with Cloud Computing . What we offer you: Transparent compensation schemes and comprehensive employee benefits to ensure your financial security, health, and overall wellbeing. Flexible working arrangements , advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues who inspire, support, and share their expertise. Global Orientation program to kickstart your journey, with access to our Learning@MSCI platform, LinkedIn Learning Pro, and tailored learning for ongoing skills development. Multi-directional career paths offering professional growth through new challenges, internal mobility, and expanded roles. We actively nurture an environment that builds a sense of inclusion, belonging, and connection , including eight Employee Resource Groups: All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women's Leadership Forum.

MSCI Services is seeking a Sustainability (Quant) Python Data Specialist to join our team. In this role, you'll solve complex investment problems in Sustainability and Climate, directly supporting the sales of MSCI's Sustainability and Climate data, indexes, and tools. Responsibilities: Conduct qualitative and quantitative research in Sustainability and Climate. Perform advanced data handling and modeling using Excel and Python . Work closely with colleagues globally to continually advance the data and insights we provide to our clients. Communicate insights both internally and externally, delivering them to clients through PowerPoint reports or published blogs and research insights . Qualifications: Degree in Economics, Finance, Environmental Studies, Climate Change, Geography, Politics, Engineering, or a related field . Proficient in Excel , and experience in Python is a must . A combination of an academic track record with relevant work experience that demonstrates responsibility for the delivery of models, reports, briefings, or other outputs. Demonstrable enthusiasm for addressing climate change in the corporate sector . What we offer you: Transparent compensation schemes and comprehensive employee benefits , tailored to your needs, ensuring your financial security, health, and overall well-being. Flexible working arrangements , advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro, and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility, and expanded roles. We actively nurture an environment that builds a sense of inclusion, belonging, and connection , including eight Employee Resource Groups: All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women's Leadership Forum.

URGENT HIRING !!! For more information call or WhatsApp +91 8527364486 Mail us at: [HIDDEN TEXT] location's : Canada , Australia , New Zealand , UK, Germany , Singapore ( Not In India ) Benefits : Medical Insurances , Travel allowances , Flight Tickets , Meals , etc. Key Responsibilities: Data Collection and Management: Data analysts gather data from various sources, including databases, spreadsheets, and online platforms.They also manage and organize data to ensure its accuracy and accessibility. Data Cleaning and Preparation: This involves identifying and correcting errors, inconsistencies, and missing values in the data to ensure its quality for analysis. Data Analysis and Interpretation: Analysts use statistical methods and tools to identify patterns, trends, and relationships within the data, drawing conclusions and making predictions. Data Visualization and Reporting: Data analysts create visualizations like charts and graphs to present findings in a clear and understandable way.They also generate reports for stakeholders, highlighting key insights and recommendations. Communication and Collaboration: Data analysts communicate their findings to both technical and non-technical audiences, collaborating with teams to implement data-driven solutions. Problem-Solving: Analysts use data to identify and solve business problems, improve efficiency, and optimize performance.

Employment Type: Contract 5 Years of SAP Experience in EHS or EHSM Technical Knowledge and Skills required, At-least two full end to end implementation experience or multiple SAP EHS/EHSM Support Project Experience Primary skills on SAP EHS/EHSM, Preferred Certified 4-5 years experience in EH&S based handling of dangerous goods master data handling Proven knowledge in the integration of EH&S dangerous goods records with the SD and LE module Knowledge in the major international, dangerous goods regulations like ADR, IMDG, IATA Affinity to process management & conceptual work Demonstrating expert knowledge of SAP EHSM Incident Management and SAP Product Safety and Stewardship Management (on HANA is added advantage) in order to guide large and complex consulting assignments and advice customer on industry best practices, Having strong knowledge of Industry Product Compliance processes, integrations with logistic modules.

We are looking for a Maintenance Coordinator who can maintain data and should have good coordination skills. Key Responsibilities: Utilize Excel to track maintenance schedules, work orders, and inventory. Schedule and assign maintenance tasks to technicians. Coordinate with vendors and contractors for specialized repairs and maintenance services. Maintain accurate and up-to-date records of all maintenance activities. Coordinating project activities and ensuring timely completion of tasks. Communication and Support: Communicate effectively with maintenance staff, management, and other departments. Provide administrative support to the maintenance team, including data entry and report generation. Assist in the development and implementation of maintenance procedures and protocols. Interested candidates may apply or may directly send their resumes at neha_s@apollopharmacy.org.

Job Description Responsibilities : Build, Refine and Use ML Engineering platforms and components. Scaling machine learning algorithms to work on massive data sets and strict SLAs. Build and orchestrate model pipelines including feature engineering, inferencing and continuous model training. Implement ML Ops including model KPI measurements, tracking, model drift & model feedback loop. Collaborate with client facing teams to understand business context at a high level and contribute in technical requirement gathering. Implement basic features aligning with technical requirements. Write production-ready code that is easily testable, understood by other developers and accounts for edge cases and errors. Ensure highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews. Write unit tests as well as higher level tests to handle expected edge cases and errors gracefully, as well as happy paths. Uses bug tracking, code review, version control and other tools to organize and deliver work. Participate in scrum calls and agile ceremonies, and effectively communicate work progress, issues and dependencies. Consistently contribute in researching & evaluating latest architecture patterns/technologies through rapid learning, conducting proof-of-concepts and creating prototype solutions. Qualifications: 6+ years hands-on experience in ML development. Good fundamentals of machine learning Strong programming expertise in Python, PySpark/Scala. Expertise in crafting ML Models for high performance and scalability. Experience in implementing feature engineering, inferencing pipelines, and real time model predictions. Experience in ML Ops to measure and track model performance, experience working with MLFlow Experience with Spark or other distributed computing frameworks. Experience in ML platforms like Sage maker, Kubeflow. Experience with pipeline orchestration tools such Airflow. Experience in deploying models to cloud services like AWS, Azure, GCP, Azure ML. Expertise in SQL, SQL DB's. Knowledgeable of core CS concepts such as common data structures and algorithms. Collaborate well with teams with different backgrounds / expertise / functions.

This role is ideal for early-career marketers who want to gain deep exposure to running digital ads at scale. You'll assist in managing paid campaigns, optimizing performance metrics, and generating leads through platforms like Google Search, Display, YouTube, and Facebook/Instagram Ads. Educational Qualifications: -B.Tech/B.E Job Responsibilities: Support campaign setup and execution on Google Ads and Meta Ads Daily monitoring of campaign KPIs CTR, CPC, CPL, ROAS Assist in writing ad copies, keyword research, and creative testing Coordinate with analytics team for tracking using GA4, GTM Prepare weekly/daily performance dashboards Skills Required: Google Ads , Meta Ads , Google Search Candidate Attributes: Must Have Skills: 1-3 years of hands-on experience in Google Ads or Meta Ads Basic knowledge of digital KPIs and UTM tracking Strong Excel/Google Sheets and data handling Passion for digital marketing and willingness to learn Good to Have Skills: Google/META certifications Past internship or role in B2B or performance-driven teams

Responsibilities: Process emails and documents accurately Collaborate with team on projects Maintain database integrity Manage computer systems and software updates Type reports and correspondence

Must Working in Warehouse field • 1 year experience in customer services in warehouse . Graduation Completed . Good Knowledge of System @Excel, Advance Excel, VLOOKUP, H LOOKUP, Mail communication

Responsibilities Manage the amounts of inbound and outbound calls promptly. Follow communication scripts” when handling different topics. Identify customers’ needs, clarify information, research every issue, and provide solutions and/or alternatives. Build sustainable relationships and engage customers by taking the extra mile. Keep records of all conversations in our call centre database in a comprehensible way Frequently attend educational updates and training to improve knowledge and performance level. Meet personal/team qualitative and quantitative targets. Manage and keep a record of other operational tasks assigned daily Perform regular data audits, clean-up, and deduplication tasks Collaborate with sales and operations teams to gather and validate data Use Excel functions (VLOOKUP, Pivot Tables, etc.) to analyse and present data insights. Handle confidential customer information with a high degree of integrity and professionalism. Requirements and skills Previous experience in a customer support role Track record of over-achieving quota Strong phone and verbal / Non-verbal communication skills along with active listening Familiarity with CRM systems and practices Customer focus and adaptability to different personality types Ability to multi-task, set priorities and manage time effectively. Graduate Strong expertise in Microsoft Excel (PivotTables, advanced formulas, data validation, charts, etc.) Ability to work with large datasets accurately and efficiently. Strong attention to detail and problem-solving skills.

At Cariot Licensee of Cars24, We don't just sell cars. We give people a way forward. A car can be the key to unlocking independence, to opening doors that were previously closed. For many, it's more than a vehicle, it's their lifeline to a better job, a reunited family, or simply the freedom to move through life on their terms. Each car we put on the road is another story in someone's life. At its most fundamental, it's about mobility-not just physically, but socially, emotionally, and economically. Each interaction we have with a customer, each moment we improve their experience, strengthens their trust in us. We will leverage our technology to empower mobility and transform lives across India and the world . Be a core team member of the Sales function for the state; be primarily involved in P&L achievement and strategy development. The incumbent is responsible for setting up the sales unit and processes manage daily performance of all sales team members and deliver regular reviews. Be responsible for planning acquisition, allocation & strategic alliances with channel partners in the city within the allocated territory Achieve targeted territorial growth at a rate and margin consistent with the company's business plan. Monitor price discovery at the sales outlets & ensure targeted supply to all channel partners Track sales team metric sand report data to leadership on a regular basis. Coach and develop direct reports. Implement performance plans according to company protocol Who are we looking for? 5+Years of experience in Sales, Retail role Good affinity towards data Preferred Masters from a Premier Institute.Ability to multitask and deal with ambiguity Strong knowledge of process excellence and process re-engineering Great team management skills Possess excellent observational, analytical, and reporting skills. Skilled in communication and interpersonal interactions, capable of delivering high-quality customer service

Job Title: Associate Manager - Supply Location: Ahmedabad (with occasional travel to Surat & Vadodara) Job Type: Full-Time, In-Office Key Responsibilities: Improve the overall supply of the Bike Parcel service, ensuring consistent and timely delivery to meet growing demand. Identify challenges and inefficiencies at the ground level, providing actionable insights and solutions in collaboration with the central team. Drive ground-level marketing activities to boost awareness and increase supply within Ahmedabad, Surat, and Vadodara. Work closely with local teams to ensure smooth operations and address any concerns related to bike parcel services. Monitor key metrics and track performance to continuously improve parcel supply and service quality. Coordinate with the operations team to optimize processes and ensure timely deliveries. Qualifications: Proven experience in supply management or a similar role. Familiarity with operations or logistics in the bike parcel or delivery industry is a plus. Ability to conduct effective ground-level marketing campaigns to increase service supply.

Role: PMO Department: Project Management Location: Hyderabad About Us: Sai Life Sciences is one of the fastest-growing Contract Research, Development, and Manufacturing Organizations (CRDMOs). As a pure-play, full-service partner, we collaborate with over 300 global innovator pharma and biotech companies to accelerate the discovery, development, and commercialization of their NCE programs. We have over 3000 employees across our facilities in India, the UK, and the USA, working together to deliver scientific excellence and customer success. We are a Great Place to Work certified organization with a culture of openness, mutual respect, and inclusivity. We embrace diversity and follow equal opportunity practices across all levels. Job Summary: To consolidate all the projects, for uniformity, define PM procedures and operating guidelines Key Responsibilities: Define scope of work, deliverables and gather business requirements Establish shared document repository and finalize and deliver Project Charter. Also, facilitate team accountability meetings Establish schedule/cost and Develop risk log Create vendor management and Develop communication plan Guide/assist project lead in assessment of stakeholder communication and training Monitor projects progress as per plan - Issue identification, escalation, and resolution Deliver regular status reports, risk, issue, and decision logs Work with project leadership and stakeholders to amend plan Facilitate closeout with project leadership and key stakeholders Ensure business requirements and project expectations outlined in the Project Charter have been met Provide closeout documentation, including lessons learned Project Analytics for Ongoing Projects

No of years experience Minimum 7 years Detailed job description - Skill Set: 7+ years of experience in UI development using reactjs with deep understanding of react hooks, REDUX, session, cookies, state management Understand user requirement and create wire frames for UI. Knowledge on Zeplin/Figma tool is preferred Deep insight on UI performance, security, cross site scripting, large data handling Using GraphQL for API query Experience in designing UI wireframes using zeplin, figma/any UI design tool Mandatory Skills ReactJs, Zeplin/Figma tool, UI performance, security, cross site scripting, large data handling Work Location Offshore-Any DC location

Job Title:IA Team Member – Internal Audit Function / DepartmentInternal Audit DesignationM3-M2 (Manager / Deputy Manager) Kotak Mahindra Prime limited (KMPL) is a subsidiary of Kotak Mahindra Bank Limited and is in the business of financing all passenger vehicles, two wheelers & loan against property. KMPL is India's leading car finance company since 1996 and started financing two wheelers since 2018. The company is dedicated to financing dealers and retail customers. The KMPL Internal Audit department conducts risk based internal audit (RBIA) for various functions as per the audit plan. Performing Internal Audit including branch audits for various functions like Operations, Credit, Sales, Collection for retail finance Products - Car loans, Two wheeler loans & LAP as per risk based audit plan. Ability conduct to efficiently both onsite and off site audits. Ability to access process, risk and controls and drive improvements. Document audit findings and maintain quality audit paper work. Independently discuss and conclude audit finding with stakeholders Delivering on time high quality audit reports Follow up on the recommendations with stakeholders and monitor the compliance for effective closure. IT Auditor requirement: Professionally qualified CA , CIA . MBA Finance, MCOM Exposure / experience to Internal Audit/Internal risk control practices. Critical thinking, analytical skills, strong communication , efficient data handling skills High energy, Passion & Self starter attitude with good presentation skills Ability to work under pressure Strong Attention to details and outstanding problem solving skills Willing to travel as needed

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

We are seeking a Office Assistant with strong skills in email writing, MOM preparation, PPT development &Excel-based data handling.The candidate will support daily office operations, assist in leadership communication, and ensure smooth documentation

Job Responsibilities: 1. Oracle Integration Cloud (OIC) Management Manage and implement integrations between Oracle E-Business Suite (EBS) and external systems using Oracle Integration Cloud (OIC) and SOA Suite. Develop, configure, and maintain integration flows, ensuring efficient data exchange and synchronization. Monitor integration performance, troubleshoot issues, and ensure data integrity. 2. Functional Support and Collaboration Assist Functional Consultants with reports, forms, and data handling. Create custom report generation as requested. Support master data uploads and related project activities. 3. Documentation and Reporting Create, review, and maintain integration documentation. Provide regular performance reports. 4. System Administration Manage technical administration tasks related to integrations, including user access and security settings. Collaborate with DBAs , oracle consultant and developer to optimize system performance and resolve performance issues. 5. General Duties Perform other tasks as assigned by management. Ensure timely resolution of integration-related issues and communicate updates effectively. Qualifications and Skills: Technical Expertise: Proficiency in Oracle Integration Cloud (OIC) Experience with Oracle E-Business Suite (EBS) integrations. Ability to create support functional reporting needs. Soft Skills: Strong communication, documentation, and problem-solving skills. Ability to work collaboratively with cross-functional teams. Excellent time management and organizational skills.