Job description Skill required: Order to Cash - Billing Processing Designation: Order to Cash Operations Senior Manager Qualifications:Any Graduation Years of Experience:16 to 25 years About AccentureCombining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be aligned with our Finance Operations vertical and will be helping us in determining financial outcomes by collecting operational data/reports, whilst conducting analysis and reconciling transactions.The Order to Cash Processing team provides services to clients and organizations by helping them in the areas of optimizing working capital, providing real-time visibility and end-to-end management of revenue and cash flow, and streamlining billing processes. This team over looks the entire processes that starts from customers inquiry, sales order to delivery and invoicing.The Collections Operations team focuses on managing collections and disputes such as debt collection, reporting on aged debt, bad debt provisioning, trade promotions, and outperform cash reconciliations. The team is responsible for follow up for missing remittances, prepare refund package with accuracy and supply to clients, record all collections activities in a consistent manner as per client process (tool), delivery of process requirements to achieve key performance targets, and ensure compliance to internal controls, standards, and regulations. What are we looking for We are looking for individuals who have the following skillset:Finance ProcessesAbility to manage multiple stakeholdersStakeholder Management and Multiple Client Interactions. Roles and Responsibilities: In this role you are required to identify and assess complex problems for area of responsibilityYou will need to create solutions in situations which requires an in-depth analysis/evaluation of variable factorsThis will require alignment to strategic direction set by senior management when establishing near-term goalsYour primary interaction will be with senior management at a client and/or within Accenture, involving matters that may require acceptance of an alternate approachSome latitude in decision-making is involved, you will act independently to determine methods and procedures on new assignmentsYou will need to flag risks to clients and Accenture stakeholders and propose action plans where neededYou will need to have an innovative mindset to identify improvement opportunities to optimize processes, decrease costs and increase client valueDecisions that you make in this role will have a major day to day impact on area of responsibilityYou will be managing medium - large sized teams and/or work efforts at a client or within AccentureYou would require transformation mindset and eye for identifying automation/process improvement opportunities.Please note this role may require you to work in rotational shifts. Qualification Any Graduation Role: Accounts Receivable Manager Industry Type: IT Services & Consulting Department: Finance & Accounting Employment Type: Full Time, Permanent Role Category: Accounting & Taxation Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills debt collectionbill processingorder to cashbillingcash flow accounts receivableaccounts payablesapsales orderinvoice processingaccountingcash applicationscollectionsbank reconciliationinvoicingfinancecredit control

Job description As a Senior Developer, you will play a pivotal role in our Signalling team, focusing on innovative products like Cloud Signalling Director and Policy elements. You'll lead the development of complex features, ensuring high performance, scalability, and code quality while working collaboratively in a lean, agile environment. Your expertise in cloud-native architecture, containerization, and microservices will drive our transition to cutting-edge software solutions for communication service providers. You have: 7+ years of relevant R&D Development experience on Telco grade products. Core Java programming skills with good analytical and debugging capabilities. Experience with Linux, Kubernetes, VMware, OpenStack, and working with CSF Assets & Blueprints. It would be nice if you also had: Experience with Cloud Native, Microservices, Containers, and Virtualization Technologies like Docker and gRPC. Knowledge of 4/5G Signalling, 3GPP specifications, and Hyperscale cloud capabilities (Azure, AWS, GCP). Experience with open-source PaaS environments such as OpenShift and Kubernetes. Lead software development efforts, overseeing multiple features to ensure high-quality project completion. Requirement analysis and design components based on cloud-native principles. Own and implement architecture at the system component level, prioritizing performance and scalability. Role: Data Platform Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: B.Tech/B.E. in Any Specialization PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills microservicescontainerizationjavaraws kubernetescssopenshiftjquerydockerreact.js5ggcplinuxpaasdebugginghtmlrequirement analysissoftware developmentvmwaremicrosoft azurecloud nativegrpcjavascriptopenstackagileangularjs

Job description Responsibilities: Develop and execute a data strategy to align with product development and business objectives. Foster data-driven decision-making throughout the product lifecycle, from development to marketing. Oversee data collection, analysis, and interpretation to provide actionable insights for product improvement. Ensure timely delivery of accurate reports, dashboards, and visualizations to support product decisions. Integrate new data sources and technologies to innovate and optimize product analytics. Define and track product-specific KPIs and metrics to measure performance and inform strategy. Provide insights and recommendations to support strategic product initiatives and enhancements. Assess the impact of data-driven projects on product success and user experience. Advocate for the value of data analytics in driving product innovation and growth. Communicate complex data concepts to non-technical stakeholders to inform product strategy. Collaborate with cross-functional teams to understand and address product data needs effectively. Share success stories and case studies to illustrate the impact of data-driven product improvements. Stay updated on industry trends and advancements in product analytics and technology. Foster innovation in analytical techniques and methodologies to stay ahead in the competitive landscape. Encourage continuous learning and development within the data team to maintain a high standard of expertise in product analytics. ualifications: Education: Bachelors degree in Computer Science, Statistics, Data Science, or a related field. Advanced degree preferred. Experience: Extensive experience in data analytics or business intelligence, with a proven track record of leadership. Skills: Successful implementation of data strategies and fostering data-driven cultures. Strong expertise in statistical analysis, data modeling, and data visualization. Proficiency with analytics tools (e.g., SL, Python, R, Tableau, Power BI). Excellent leadership, communication, and presentation skills. Ability to translate data insights into actionable business recommendations. Knowledge of ML, data governance, data quality, and data protection practices. Role: Analytics / BI Manager Industry Type: Telecom / ISP Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills PythonMl Data ManagementData AnalysisTableauData Analytics

Job description The Data Scientist is crucial in leveraging data to derive meaningful insights and solutions for complex business problems. This individual will lead and guide the data science team in developing advanced analytical models, algorithms, and statistical analyses. They will collaborate with cross-functional teams to identify opportunities for leveraging data-driven solutions, making strategic decisions, and enhancing overall business performance. The Data Scientist will be responsible for designing and implementing machine learning models, conducting data exploration, and communicating findings to non-technical stakeholders. Primary Responsibilities: Collaborate with business stakeholders to understand and translate their goals into data science initiatives. Lead the development and implementation of machine learning models and algorithms to place ads in the context of cutting-edge privacy frameworks efficiently. Develop strategies to optimize budget allocation in scenarios with high cardinality and uncertainty. Conduct exploratory data analysis to discover complex data sets' patterns, trends, and insights. Communicate complex analytical findings in a clear and actionable manner to non-technical stakeholders. Stay abreast of the latest advancements in data science, machine learning, and relevant technologies. Develop and train ML/DL models for forecasting/classification Build AI agents RAG-based systems Leverage data-driven insights and predictive modeling to build PoCs. Leverage LangChain, LangGraph, or similar for orchestration Use SQL for data analysis, feature engineering, and reporting Required Skills: Qualification in a quantitative field such as Computer Science, Statistics, Physics, or Mathematics. Excellent problem-solving skills. Strong coding skills. 2+ years of relevant work experience in data science and machine learning. Solid background in statistical analysis, hypothesis testing, and experimental design. Proficiency in Python and SQL Preferred GCP Platform Exposure to RAG, LLMs, and agentic workflows - Finetuning Evaluation Familiar with LangChain, LangGraph, or similar toolkits Plus points if you have experience with Apple Ads (formerly ASA) or have worked in the AdTech space. Effective communication skills with the ability to convey technical concepts to non-technical audiences Role: Data Scientist Industry Type: Software Product Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate Key Skills algorithmspythonmodelinghypothesis testingmathematicsforecastingdlpredictiveproblem solvingmachine learningsqlcodingdata sciencegcppredictive modelingdesignreportingstatisticscommunication skillsml

Job description Position Overview: We are seeking a collaborative and analytical Data Scientist who can bridge the gap between business needs and data science capabilities. In this role, you will lead and support projects that apply machine learning, AI, and statistical modeling to generate actionable insights and drive business value. Key Responsibilities: Collaborate with stakeholders to define and translate business challenges into data science solutions. Conduct in-depth data analysis on structured and unstructured datasets. Build, validate, and deploy machine learning models to solve real-world problems. Develop clear visualizations and presentations to communicate insights. Drive end-to-end project delivery, from exploration to production. Contribute to team knowledge sharing and mentorship activities. Must-Have Skills: 3+ years of progressive experience in data science, applied analytics, or a related quantitative role, demonstrating a proven track record of delivering impactful data-driven solutions. Exceptional programming proficiency in Python, including extensive experience with core libraries such as Pandas, NumPy, Scikit-learn, NLTK and XGBoost. Expert-level SQL skills for complex data extraction, transformation, and analysis from various relational databases. Deep understanding and practical application of statistical modeling and machine learning techniques, including but not limited to regression, classification, clustering, time series analysis, and dimensionality reduction. Proven expertise in end-to-end machine learning model development lifecycle, including robust feature engineering, rigorous model validation and evaluation (e.g., A/B testing), and model deployment strategies. Demonstrated ability to translate complex business problems into actionable analytical frameworks and data science solutions, driving measurable business outcomes. Proficiency in advanced data analysis techniques, including Exploratory Data Analysis (EDA), customer segmentation (e.g., RFM analysis), and cohort analysis, to uncover actionable insights. Experience in designing and implementing data models, including logical and physical data modeling, and developing source-to-target mappings for robust data pipelines. Exceptional communication skills, with the ability to clearly articulate complex technical findings, methodologies, and recommendations to diverse business stakeholders (both technical and non-technical audiences). Experience in designing and implementing data models, including logical and physical data modeling, and developing source-to-target mappings for robust data pipelines. Exceptional communication skills, with the ability to clearly articulate complex technical findings, methodologies, and recommendations to diverse business stakeholders (both technical and non-technical audiences). Good-to-Have Skills: Experience with cloud platforms (Azure, AWS, GCP) and specific services like Azure ML, Synapse, Azure Kubernetes and Databricks. Familiarity with big data processing tools like Apache Spark or Hadoop. Exposure to MLOps tools and practices (e.g., MLflow, Docker, Kubeflow) for model lifecycle management. Knowledge of deep learning libraries (TensorFlow, PyTorch) or experience with Generative AI (GenAI) and Large Language Models (LLMs). Proficiency with business intelligence and data visualization tools such as Tableau, Power BI, or Plotly. Experience working within Agile project delivery methodologies. Competencies: Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications. Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels. Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm. Customer Focus - Building strong customer relationships and delivering customer-centric solutions. Optimizes Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement. Why Join U

Job description Alethe Labs is looking for Data Scientist to join our dynamic team and embark on a rewarding career journey. Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine - learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Role: Full Stack Data Scientist Industry Type: Oil & Gas Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate Key Skills Image processingData processing

Job description The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team. Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact. What we offer Interact with C-level at our clients on regular basis to drive their business towards impactful change Lead your team in creating new business solutions Seize opportunities at the client and at Metyis in our entrepreneurial environment Become part of a fast growing international and diverse team What you will do Lead and manage the delivery of complex data science projects, ensuring quality and timelines. Engage with clients and business stakeholders to understand business challenges and translate them into analytical solutions. Design solution architectures and guide the technical approach across projects. Align technical deliverables with business goals, ensuring data products create measurable business value. Communicate insights clearly through presentations, visualizations, and storytelling for both technical and non-technical audiences. Promote best practices in coding, model validation, documentation, and reproducibility across the data science lifecycle. Collaborate with cross functional teams to ensure smooth integration and deployment of solutions. Drive experimentation and innovation in AI/ML techniques, including newer fields - Generative AI. What you ll bring 6+ years of experience in delivering full-lifecycle data science projects. Proven ability to lead cross-functional teams and manage client interactions independently. Strong business understanding with the ability to connect data science outputs to strategic business outcomes. Experience with stakeholder management, translating business questions into data science solutions. Track record of mentoring junior team members and creating a collaborative learning environment. Familiarity with data productization and ML systems in production, including pipelines, monitoring, and scalability. Experience managing project roadmaps, resourcing, and client communication. Tools & Technologies: o Strong hands-on experience in Python/R and SQL. o Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP. o Experience with data visualization tools in python like Seaborn, Plotly. o Good understanding of Git concepts. o Good experience with data manipulation tools in python like Pandas and Numpy. o Must have worked with scikit learn, NLTK, Spacy, transformers. o Experience with dashboarding tools such as Power BI and Tableau to create interactive and insightful visualizations. o Proficient in using deployment and containerization tools like Docker and Kubernetes for building and managing scalable applications. Core Competencies: o Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis. o Good understanding of deep learning concepts, especially in NLP and Computer Vision applications. o Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. o Exposure to tools like Mlflow, model deployment, API integration, and CI/CD pipelines. o Hands on experience with MLOps and model governance best practices in production environments. o Experience in developing optimization and recommendation system solutions to enhance decision-making, user personalization, a

Job description Job Title: Manager - Business Finance About Us: At Teachmint, we believe that education moves the world forward and deserves the best technology in this pursuit. We are a global classroom technology company empowering educators and institutions in over 50 countries. At the forefront of classroom innovation, Teachmint is transforming how education is delivered through its proprietary solutions Teachmint X, an AI-powered digital board; EduAI, an intelligent AI companion that empowers educators and learners to become self reliant; and our interactive whiteboard technology, designed to blend intelligence with usability and elevate every moment of classroom interaction. We are redefining education infrastructure. Whether youre architecting backend systems, designing intuitive front-end experiences, improving deployment pipelines, driving business growth and brand visibility, or scaling user impact your work here directly shapes the future of education. Learn more: www.teachmint.com About the Role: We are looking for a highly analytical and detail-oriented Business Finance Manager who will play a pivotal role in financial analysis, reconciliations, and reporting. This individual will work independently to ensure structured financial monitoring, gatekeeping incentive spends, and monitoring topline and margin achievements against planned budgets. Key Responsibilities: Financial Analytics & Business Insights Analyze financials, invoicing, and expense data to derive meaningful insights that impact pricing and incentive strategies. Design structured dashboards and financial reports to monitor business performance. Track customer balances, advances, and key balance sheet items to ensure financial accuracy. Incentives Monitoring: Calculate and review all incentives across the organization, ensuring compliance with designed policies. Monitor budgeted vs. actual spends, ensuring cost efficiencies. Reporting & Performance Tracking: Prepare weekly and monthly MIS reports for leadership review. Track and report inventory quantities, valuations, and financial discrepancies. Establish controls and processes to ensure accurate reconciliations of financial transactions. Required Skills & Qualifications: Strong proficiency in Microsoft Excel / Google Sheets for financial modeling, data analysis, and reporting. Knowledge of SQL (preferred, not mandatory) Proven ability to design structured dashboards and extract actionable insights from financial data. Strong analytical mindset, with a keen eye for data accuracy and financial structuring. Experience in financial reconciliations, cost tracking, and spend management. Ability to work independently, ensuring financial controls and transparency. What Sets Teachmint Apart A culture of innovation and collaboration where every voice matters. An opportunity to drive meaningful change in the education sector. Support for your growth and learning as a leader and professional. Remote role with frequent travel to customer sites, meetings, and events. Flexible work hours may be required to accommodate customer schedules and sales activities. Performance-based compensation structure with incentives tied to sales targets and objectives. Ready to make a lasting impact? Join Teachmint and lead us in reshaping the future of education! Disclaimer: Kindly note that Teachmint Technologies is an equal-opportunity employer. We are dedicated to providing equal opportunities in all aspects of employment, including recruitment, training, and development of employees, which encompasses promotions, transfers, assignments, and various beliefs. Teachmint Technologies strictly prohibits discrimination in the workplace based on color, disability, marital status, nationality, race, religion, sex, sexual orientation, national or ethnic origins, religious beliefs, or age. Role: Finance Manager Industry Type: Education / Training Department: Finance & Accounting Employment Type: Full Time, Permanent Role Category: Finance Education UG: Any Graduate PG: Any Postgraduate Key Skills Financial restructuringD

Job description About CloudKeeper CloudKeeper is a cloud cost optimization partner that combines the power of group buying & commitments management, expert cloud consulting & support, and an enhanced visibility & analytics platform to reduce cloud cost & help businesses maximize the value from AWS, Microsoft Azure, & Google Cloud. A certified AWS Premier Partner, Azure Technology Consulting Partner, Google,Cloud Partner, and FinOps Foundation Premier Member, CloudKeeper has helped 400+ global companies save an average of 20% on their cloud bills, modernize their cloud set-up and maximize value all while maintaining flexibility and avoiding any long-term commitments or cost. CloudKeeper hived off from TO THE NEW, digital technology services company with 2500+ employees and an 8-time GPTW winner. Position Overview: We are looking for an experienced and driven Data Engineer to join our team. The ideal candidate will have a strong foundation in big data technologies, particularly Spark, and a basic understanding of Scala to design and implement efficient data pipelines. As a Data Engineer at CloudKeeper, you will be responsible for building and maintaining robust data infrastructure, integrating large datasets, and ensuring seamless data flow for analytical and operational purposes. Key Responsibilities: Design, develop, and maintain scalable data pipelines and ETL processes to collect, process, and store data from various sources. Work with Apache Spark to process large datasets in a distributed environment, ensuring optimal performance and scalability. Develop and optimize Spark jobs and data transformations using Scala for large-scale data processing. Collaborate with data analysts and other stakeholders to ensure data pipelines meet business and technical requirements. Integrate data from different sources (databases, APIs, cloud storage, etc.) into a unified data platform. Ensure data quality, consistency, and accuracy by building robust data validation and cleansing mechanisms. Use cloud platforms (AWS, Azure, or GCP) to deploy and manage data processing and storage solutions. Automate data workflows and tasks using appropriate tools and frameworks. Monitor and troubleshoot data pipeline performance, optimizing for efficiency and cost-effectiveness. Implement data security best practices, ensuring data privacy and compliance with industry standards. Required Qualifications: 4- 6 years of experience required as a Data Engineer or an equivalent role Strong experience working with Apache Spark with Scala for distributed data processing and big data handling. Basic knowledge of Python and its application in Spark for writing efficient data transformations and processing jobs. Proficiency in SQL for querying and manipulating large datasets.ing technologies. Experience with cloud data platforms, preferably AWS (e.g., S3, EC2, EMR, Redshift) or other cloud-based solutions. Strong knowledge of data modeling, ETL processes, and data pipeline orchestration. Familiarity with containerization (Docker) and cloud-native tools for deploying data solutions. Knowledge of data warehousing concepts and experience with tools like AWS Redshift, Google BigQuery, or Snowflake is a plus. Experience with version control systems such as Git. Strong problem-solving abilities and a proactive approach to resolving technical challenges. Excellent communication skills and the ability to work collaboratively within cross-functional teams. Role: Data Analyst Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Temporary/Contractual Role Category: Business Intelligence & Analytics Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Data EngineeringSCALA PysparkScala ProgrammingPython FrameworkSQL QueriesSparkPythonSQL

Job description Join our Team About this opportunity We are seeking a highly skilled Data & Analytics Service Delivery Lead with proven competence on AI, and knowledge on OSS/BSS domains. The person will join a dynamic, globally diverse team taking care about Service Delivery within Data and Analytics Domain, with Customers distributed worldwide, in a context of non-delegated business. Team objective is to bring value through the expertise within Data and Analytics domain in telecom sector. The successful candidate will primarily focus on AI, enabling the Service Delivery process, model and strategy in such area. What you will do Define and fine tune the Service Delivery strategy and the Service Offering in collaboration with Portfolio and Sales. Support Sales for SI Services estimations. AI Use Cases Definition and harvesting, to unlock business value. Creation and Maintenance of Global Service Delivery Assets (Delivery Model and Pyramid, Industrialization, etc.) Scope build and scale AI Solutions. Ensure successful Projects Delivery execution, through the implementation of domain best practices. Drive Competence Management, internal and external. Work together with R&D for competence ramp-up, Product Serviceability Improvements, Service Led Business enablement, development of new Features and Use Cases. Work very close to Data and Analytics Portfolio and Sales, to properly set / fine tune the Service Delivery strategy and the Service Offering, primarily for AI. You will bring Demonstrated experience of more than 10 years in Service Delivery or equivalent roles in the OSS BSS space either internal or external Out of which at least 3 years in leading Service engagements in the analytics or AI or GenAI domains Cross-Functional Leadership Experience collaborating with diverse teams such as engineering and portfolio and marketing and sales Technical Understanding Strong domain expertise in telecom networks experience in telecom analytics tools as well as AI and Gen AI technologies and how they apply to data management solutions Analytical skills Proficiency in data analysis and the ability to use data-driven insights to make decisions Demonstrated leadership track record including personal development track record on the same Ability to lead a distributed diverse multi-cultural and matrix organization whilst securing right on time mobilization of stakeholder support for results Excellent English verbal and written communication skill Good to have Entrepreneurial and commercial thinking with an interest in business management Genuine interest in product architecture and technology Experience working in international markets or with global teams Why join Ericsson? What happens once you apply? Encouraging a diverse and inclusive organization is core to our values at Ericsson, thats why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Gurgaon Req ID: 767937 Role: Business Intelligence & Analytics - Other Industry Type: Software Product Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: Any Postgraduate Key Skills Service deliveryTelecomData analysisUsageBssSalesData managementBusiness managementService Delivery LeadAnalytics