1436 Clustering Jobs - Page 49

Manage Data centre Server Infrastructure, Backups, Domain Controller File Server, DB Servers Install, Config & Administration of Windows Server 2008/2012/2016, Virtual (Hyper-V, VMWare, KVM), Linux (RedHat, SUSE, CentOS etc.) ITIL Process knowledge Required Candidate profile Min 1-5 yrs exp Sys Admin (Windows, Linux, Storage,etc) Knowledge of Server Clustering Virtualization Storage Protocol & system DC & DR operation Cert MCSE, MCSA, VMware, Linux & Storage will be pref

Job Purpose Risk Management is core to Bajaj Finance. Most of the decisions in Risk Management are data driven and analytical. Statistical models are required to look at multi-variate dimensions from a risk perspective including calculating the expected credit loss, scenario analysis, forecasting, Stress Testing etc. Statistical models are built and scorecards are prepared which assesses parameters like PD (probability of default), EAD and LGD which are critical from a regulatory perspective and forms important aspect of regulatory reporting purpose. This role gives an opportunity of going beyond the above and gives deeper insights on the Regulatory norms on Credit Risk. The role allows candidate work on areas such as Stress Testing, Expected Credit Loss, Macro Economic stress, Macro stress models/forecasting etc. Duties and Responsibilities ƒ˜Build Stress Testing Framework and execute the same ƒ˜Develop, validate, and execute Stress Testing Tools and Stress Testing Engine ƒ˜Build, monitor, validate and track PD, LGD, EAD models for Stress Testing as per RBI guidelines ƒ˜Provide analytical solutions through statistical modeling, credit policy and strategy, reporting and data analysis for the BFL businesses ƒ˜Support any adhoc deep dive data analysis on portfolio metrices ƒ˜Support in Data analysis and segmentations. ƒ˜Ongoing liaising with IT, Credit and BIU teams to ensure all policies, processes, data flow are working efficiently, and all required changes are build and implemented suitably Key Decisions / Dimensions Model build design -Algorithms that should be used in model building -Business interpretation of statistical models -Model Monitoring results and its interpretation Major Challenges Updated on new statistical modeling methods -Writing efficient SQL and Python queries -Incorporate the regulatory changes, as and when announced -Liasing with IT and other teams to get models implemented in the systems Required Qualifications and Experience Qualifications B-Tech/MBA Finance / Postgraduate with 1-3 years in quantitative subjects (Statistics/Data Science) Work Experience 1-3 years relevant analytical experience in Model development, ML modelling, Forecasting, Segmentation and Clustering. Preferred Coding languages:SAS, SQL, R, Python. Classical statistical techniques:Regression, Logistic regression, Clustering, Dimensionality reduction techniques, Hypothesis testing. Experience in handling huge data base and the ability to do root cause analysis. Individual contributor with the capability to deliver projects within timeline Effective verbal and written communication skills

Job Purpose Risk Management is core to Bajaj Finance. Most of the decisions in Risk Management are data driven and analytical. Statistical models are required to look at multi-variate dimensions from a risk perspective including calculating the expected credit loss, scenario analysis, forecasting, Stress Testing etc. Statistical models are built and scorecards are prepared which assesses parameters like PD (probability of default), EAD and LGD which are critical from a regulatory perspective and forms important aspect of regulatory reporting purpose. This role gives an opportunity of going beyond the above and gives deeper insights on the Regulatory norms on Credit Risk. The role allows candidate work on areas such as Stress Testing, Expected Credit Loss, Macro Economic stress, Macro stress models/forecasting etc. Duties and Responsibilities ƒ˜Build Stress Testing Framework and execute the same ƒ˜Develop, validate, and execute Stress Testing Tools and Stress Testing Engine ƒ˜Build, monitor, validate and track PD, LGD, EAD models for Stress Testing as per RBI guidelines ƒ˜Provide analytical solutions through statistical modeling, credit policy and strategy, reporting and data analysis for the BFL businesses ƒ˜Support any adhoc deep dive data analysis on portfolio metrices ƒ˜Support in Data analysis and segmentations. ƒ˜Ongoing liaising with IT, Credit and BIU teams to ensure all policies, processes, data flow are working efficiently, and all required changes are build and implemented suitably Key Decisions / Dimensions Model build design -Algorithms that should be used in model building -Business interpretation of statistical models -Model Monitoring results and its interpretation Major Challenges Updated on new statistical modeling methods -Writing efficient SQL and Python queries -Incorporate the regulatory changes, as and when announced -Liasing with IT and other teams to get models implemented in the systems Required Qualifications and Experience Qualifications B-Tech/MBA Finance / Postgraduate with 1-3 years in quantitative subjects (Statistics/Data Science) Work Experience 1-3 years relevant analytical experience in Model development, ML modelling, Forecasting, Segmentation and Clustering. Preferred Coding languages:SAS, SQL, R, Python. Classical statistical techniques:Regression, Logistic regression, Clustering, Dimensionality reduction techniques, Hypothesis testing. Experience in handling huge data base and the ability to do root cause analysis. Individual contributor with the capability to deliver projects within timeline Effective verbal and written communication skills

Job Purpose Risk Management is core to Bajaj Finance. Most of the decisions in Risk Management are data driven and analytical. Statistical models are required to look at multi-variate dimensions from a risk perspective including calculating the expected credit loss, scenario analysis, forecasting, Stress Testing etc. Statistical models are built and scorecards are prepared which assesses parameters like PD (probability of default), EAD and LGD which are critical from a regulatory perspective and forms important aspect of regulatory reporting purpose. This role gives an opportunity of going beyond the above and gives deeper insights on the Regulatory norms on Credit Risk. The role allows candidate work on areas such as Stress Testing, Expected Credit Loss, Macro Economic stress, Macro stress models/forecasting etc. Duties and Responsibilities ƒ˜Build Stress Testing Framework and execute the same ƒ˜Develop, validate, and execute Stress Testing Tools and Stress Testing Engine ƒ˜Build, monitor, validate and track PD, LGD, EAD models for Stress Testing as per RBI guidelines ƒ˜Provide analytical solutions through statistical modeling, credit policy and strategy, reporting and data analysis for the BFL businesses ƒ˜Support any adhoc deep dive data analysis on portfolio metrices ƒ˜Support in Data analysis and segmentations. ƒ˜Ongoing liaising with IT, Credit and BIU teams to ensure all policies, processes, data flow are working efficiently, and all required changes are build and implemented suitably Key Decisions / Dimensions Model build design -Algorithms that should be used in model building -Business interpretation of statistical models -Model Monitoring results and its interpretation Major Challenges Updated on new statistical modeling methods -Writing efficient SQL and Python queries -Incorporate the regulatory changes, as and when announced -Liasing with IT and other teams to get models implemented in the systems Required Qualifications and Experience Qualifications B-Tech/MBA Finance / Postgraduate with 1-3 years in quantitative subjects (Statistics/Data Science) Work Experience 1-3 years relevant analytical experience in Model development, ML modelling, Forecasting, Segmentation and Clustering. Preferred Coding languages:SAS, SQL, R, Python. Classical statistical techniques:Regression, Logistic regression, Clustering, Dimensionality reduction techniques, Hypothesis testing. Experience in handling huge data base and the ability to do root cause analysis. Individual contributor with the capability to deliver projects within timeline Effective verbal and written communication skills

Job Title: Lead Data Scientist - Advanced Analytics Job Description: We are looking for a Lead Data Scientist to drive data science and advanced analytics initiatives. The role involves building and refining machine learning models, optimizing business processes, and delivering strategic insights using large datasets and big data tools. Key Responsibilities: Lead development of data science models using ML techniques (Supervised/Unsupervised Learning, Regression, Neural Networks, etc. ). Work with big data tools (AWS, SQL, PySpark) and cloud platforms (AWS, Azure, GCP). Collaborate with global teams to deliver AI/ML solutions. Engage with clients to understand business needs and deliver tailored solutions. Required Skills: Strong experience in Python , machine learning, and big data tools (AWS, SQL, PySpark). Expertise in algorithms ( Random Forest, Boosted Trees, Neural Networks ). Experience in Pricing Models and one of the following domains: Retail, Marketing Analytics, eCommerce, Health, Supply Chain. Proven client engagement and business development skills.

Design implement Python AI/ML/Gen AI models algorithms &app Coordinate data scientists to translate their ideas into working solutions Apply ML techniques to explore & analyze data patterns insights Supp deployment of models to production env Required Candidate profile Strong proficiency in Python including libraries Exp with machine learning algorithms & tech Understanding of AI concepts neural networks Exp with one of the cloud platforms cloud-based machine

Our Mission and Purpose Mission: Leverage Indias high-quality talent to provide exceptional analytics-driven management consulting services that empower clients globally to achieve their business goals and drive sustainable growth, by working alongside Oliver Wyman consulting teams. Purpose: Our purpose is to bring together a diverse team of highest-quality talent, equipped with innovative analytical tools and techniques to deliver insights that drive meaningful impact for our global client base. We strive to build long-lasting partnerships with clients based on trust, mutual respect, and a commitment to deliver results. We aim to build a dynamic and inclusive organization that attracts and retains the top analytics talent in India and provides opportunities for professional growth and development. Our goal is to provide a sustainable work environment while fostering a culture of innovation and continuous learning for our team members. The Role and Responsibilities We have open positions ranging from Data Scientist to Director, providing talented and motivated professionals with excellent career and growth opportunities. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. Youll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries. In the data scientist track, you will be primarily responsible for managing and delivering analytics projects and helping teams design analytics solutions and models that consistently drive scalable high-quality solutions. Your responsibilities will include Working alongside Oliver Wyman consulting teams and partners, engaging directly with global clients to understand their business challenges Exploring large-scale data and crafting models to answer core business problems Working with partners and principals to shape proposals that showcase our data science and analytics capabilities Explaining, refining, and crafting model insights and architecture to guide stakeholders through the journey of model building Advocating best practices in modelling and code hygiene Leading the development of proprietary statistical techniques, ML algorithms, assets, and analytical tools on varied projects Travelling to clients locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them Keeping up with emerging state-of-the-art modelling and data science techniques in your domain Your Attributes, Experience & Qualifications Bachelor's or Masters degree in a quantitative discipline from a top academic program (Data Science, Mathematics, Statistics, Computer Science, Informatics, and Engineering) Prior experience in data science, machine learning, and analytics Passion for problem-solving through big-data and analytics Pragmatic and methodical approach to solutions and delivery with a focus on impact Independent worker with the ability to manage workload and meet deadlines in a fast-paced environment Impactful presentation skills that succinctly and efficiently convey findings, results, strategic insights, and implications Excellent verbal and written communication skills and complete command of English Willingness to travel Collaborative team player Respect for confidentiality Technical Background Proficiency in modern programming languages (Python is mandatory; SQL, R, SAS desired) and machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Prior experience in designing and deploying large-scale technical solutions leveraging analytics Solid foundational knowledge of the mathematical and statistical principles of data science Familiarity with cloud storage, handling big data, and computational frameworks Valued but not required: Compelling side projects or contributions to the Open-Source community Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence Interview Process The application process will include testing technical proficiency, case study, and team-fit interviews. Please include a brief note introducing yourself, what youre looking for when applying for the role, and your potential value-add to our team. Roles and levels In addition to the base salary, this position may be eligible for performance-based incentives. We offer a competitive total rewards package that includes comprehensive health and welfare benefits as well as employee assistance programs.

Project Role : Application Tech Support Practitioner Project Role Description : Act as the ongoing interface between the client and the system or application. Dedicated to quality, using exceptional communication skills to keep our world class systems running. Can accurately define a client issue and can interpret and design a resolution based on deep product knowledge. Must have skills : Microsoft SQL Server Administration Good to have skills : Database Architecture Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Tech Support Practitioner, you will act as the ongoing interface between the client and the system or application. You will be dedicated to quality, using exceptional communication skills to keep our world-class systems running. With your deep product knowledge, you will accurately define client issues and interpret and design resolutions. Your typical day will involve providing ongoing support to clients, troubleshooting technical issues, and ensuring the smooth functioning of the system or application. Roles & Responsibilities: Expected to perform independently and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work-related problems. Provide ongoing support to clients, addressing their technical issues and ensuring their satisfaction. Troubleshoot system or application issues and provide timely resolutions. Collaborate with the team to identify and implement improvements to enhance system performance. Stay updated with the latest industry trends and technologies to provide effective support. Assist in the development and execution of test plans to ensure system functionality and performance. Conduct training sessions for clients to enhance their understanding and usage of the system or application. Professional & Technical Skills: Must To Have Skills:Proficiency in Microsoft SQL Server Administration. Good To Have Skills:Experience with Database Architecture. Strong understanding of database administration principles and best practices. Experience in performance tuning and optimization of SQL Server databases. Knowledge of backup and recovery strategies for SQL Server. Familiarity with high availability and disaster recovery solutions for SQL Server. Ability to troubleshoot and resolve database-related issues. Excellent problem-solving and analytical skills. Additional Information: The candidate should have a minimum of 3 years of experience in Microsoft SQL Server Administration. This position is based at our Bengaluru office. A 15 years full-time education is required. Qualifications 15 years full time education

Skill required:Marketing and Customer Analytics - Data Science Designation:Analytics Associate Manager Job Location:Bengaluru Qualifications:Any Graduation Years of Experience:8 to 12 years What would you do? You will be aligned with our Insights&Intelligence vertical and help us generate insights by leveraging the latest Artificial Intelligence (AI) and Analytics techniques to deliver value to our clients. You will also help us apply your expertise in building world-class solutions, conquering business problems, addressing technical challenges using AI Platforms and technologies. You will be required to utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise-class and demonstrate yourself as an expert by actively blogging, publishing research papers, and creating awareness in this emerging area. You will be working as a part of Marketing & Customer Analytics team which provides a set of processes that measure, manage and analyze marketing activities in order to provide actionable insights and recommendations to marketing organizations in terms of optimizing ROI & performance efficiency in operations.Customer analytics is a process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. You should have exposure to digital marketing, A/B testing, MVT, Google Analytics/Site Catalyst. You will be a core member of Accenture Operations global Applied Intelligence group, an energetic, strategic, high-visibility and high-impact team, to innovate and transform the Accenture Operations business using machine learning, advanced analytics to support data-driven decisioning. The objectives of the team include but are not limited to: Leading team of data scientists to build and deploy data science models to uncover deeper insights, predict future outcomes, and optimize business processes for clients. Refining and improving data science models based on feedback, new data, and evolving business needs. Analyze available data to identify opportunities for enhancing brand equity, improving retail margins, achieving profitable growth, and expanding market share for clients. What are we looking for? Extensive experience in leading Data Science and Advanced Analytics delivery teams Strong statistical programming experience - Python, R, SAS, S-plus, MATLAB, STATA or SPSS. Experience working with large data sets and big data tools like Snowflake, AWS, Spark, etc. Solid knowledge in at least one of the following Supervised and Unsupervised Learning, Classification, Regression, Clustering, Neural Networks, Ensemble Modelling (random forest, boosted tree, etc.), Multivariate Statistics, Non-parametric Methods, Reliability Models, Markov Models, Stochastic models, Bayesian Models Experience in atleast one of these business domains:CPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, Health, Supply Chain Extensive experience in client engagement and business development Ability to work in a global collaborative team environment Roles and Responsibilities In this role you are required to do analysis and solving of moderately complex problems Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures The person requires understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor or team leads Generally, interacts with peers and/or management levels at a client and/or within Accenture The person should require minimal guidance when determining methods and procedures on new assignments Decisions often impact the team in which they reside and occasionally impact other teams Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts

you?ll be aligned with: Business Intelligence Lead you?ll be a member of:Insights & Analytics Team What you?ll do at Ather: Our business journey captures a wealth of information at different touchpoints with the vehicle and customer during production, sales, marketing and vehicle ownership. On the customer front, not only is there data captured through online touchpoints like the website, email marketing, digital marketing, app interactions, and social engagements, but we also accumulate data through physical touchpoints like the experience center, call interactions, vehicle service interactions or events. We want someone who can be a part of the brand?s journey (including the product life cycle, user behavior and interactions) and find questions that all this data can answer. A data explorer and an analyst who owns the entire journey from deciding the structure of the experiments to culling out insights and recommending business actions.We need someone who can bring out the story within the data - connect the dots to build the narrative, and also have the knowledge / experience to infer the qualitative reasoning to explain quantitative data points. They should be proactive to spot trends and work with the team / stakeholders to understand the drivers, deterrents, user behaviors, etc. Product Analytics: Understanding the impact of Ather products and its ecosystem on the customer?s ride / usage experience. Evaluating performance of features to help improve the company?s portfolio of products and services. Consumer & User Insights: Assisting the Consumer & User Insights Lead in streamlining the Product Analytics Space (and the dashboards pertaining to it) and aiding the team with understanding user behavior, defining performance metrics and identifying existing / emerging trends. Data Querying & Modeling: Model data in order to create reporting infrastructure / dashboards for business process management and data mining. These will be moderate to advanced level complexity data models. Create dashboards to help Track the performance of products and services Collaboration: Work with Product team, data engineering team, marketing team and Product Owners to participate actively in discussions involving dashboards and data requirements. Analyze the key metrics on user behavior to identify improvement opportunities for products and services. Data analysis: Deep-dive various data sources for analysis, root causes, and uncover new patterns to answer key business questions about prduct and services. Should have working knowledge of techniques such as cluster analysis, hypothesis testing, segmentation, competitive analysis, etc. Storytelling: Present recommendations and insights of various analysis to product team in the most compelling manner to influence decision making Defining objectives & timelines:In cross-functional teams, make sure task completion timelines are estimated accurately and communicated. Prioritize Product Analytics tasks and share the necessary insights in the relevant swimlanes. Track program metrics and ensure that all programs are providing the business benefit as outlined in the original business case for the project. Represent the needs of the business, function, or region on an ongoing basis to drive process improvements. Process adherence: Establish and adhere to processes which are consistent with overall organization objectives and maintains process documentation Here?s what we are looking for: Product Analytics Professional with exposure to analyzing consumer / user insights Familiarity with Product Analytics tools such as Figma, Mixpanel, Google Analytics, Amplitude and HotJar Advanced Data querying skills using SQL or working knowledge of Superset will be essential Advanced level quantitative analytical skills including statistical techniques such as cluster analysis, hypothesis testing, segmentation, competitive analysis, AB Testing, etc. Advanced knowledge on BI tools like Qlik, Tableau or Power BI is essential Strong and creative problem-solving skills Strong business acumen & sound understanding of automotive industry will be very helpful Superior communication and storytelling skills (both written and verbal) You bring to Ather: A master?s / bachelor?s in Mathematics / Statistics / Engineering / Data Science / Business 4 - 6 years of working experience in the product analytics field in a data-driven company or function

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Power BI Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years of fulltime education Summary :As an Application Lead for Packaged Application Development, you will be responsible for designing, building, and configuring applications using Microsoft Power BI. Your typical day will involve leading the effort to deliver impactful data-driven solutions, collaborating with cross-functional teams, and ensuring the successful delivery of projects. Roles & Responsibilities: Lead the effort to design, build, and configure applications using Microsoft Power BI, acting as the primary point of contact. Collaborate with cross-functional teams to ensure the successful delivery of projects, utilizing expertise in Microsoft Power BI and related technologies. Conduct detailed analysis of complex data sets, employing statistical methodologies and data munging techniques for actionable insights. Communicate technical findings effectively to stakeholders, utilizing data visualization tools like Microsoft Power BI for clarity. Stay updated with the latest advancements in Microsoft Power BI and related technologies, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: Must To Have Skills:Proficiency in Microsoft Power BI. Good To Have Skills:Experience with related technologies such as Microsoft Excel, SQL Server, and Azure. Strong understanding of statistical analysis and data munging techniques. Experience with data visualization tools such as Microsoft Power BI. Solid grasp of software engineering principles and best practices. Additional Information: The candidate should have a minimum of 5 years of experience in Microsoft Power BI. The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. This position is based at our Gurugram office. Qualifications 15 years of fulltime education

Project Role : Database Administrator Project Role Description : Administer, develop, test, or demonstrate databases. Perform many related database functions across one or more teams or clients, including designing, implementing and maintaining new databases, backup/recovery and configuration management. Install database management systems (DBMS) and provide input for modification of procedures and documentation used for problem resolution and day-to-day maintenance. Must have skills : Data Engineering Good to have skills : Python (Programming Language), Tableau Minimum 5 year(s) of experience is required Educational Qualification : BE BTECH Summary :As a Database Administrator, you will administer, develop, test, or demonstrate databases. You will perform many related database functions across one or more teams or clients, including designing, implementing and maintaining new databases, backup/recovery and configuration management. Your typical day will involve installing database management systems (DBMS) and providing input for modification of procedures and documentation used for problem resolution and day-to-day maintenance. You will play a crucial role in ensuring the smooth functioning of databases and contribute to the success of the team and clients. Roles & Responsibilities: Expected to be an SME, collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Design, develop, and maintain databases for various projects. Perform database administration tasks such as backup, recovery, and configuration management. Install and configure database management systems (DBMS). Contribute to the modification of procedures and documentation for problem resolution and maintenance. Professional & Technical Skills: Must To Have Skills:Proficiency in Data Engineering. Good To Have Skills:Experience with Python (Programming Language), Tableau. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on experience implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 5 years of experience in Data Engineering. This position is based at our Bengaluru office. A BE BTECH is required. Qualifications BE BTECH

Project Role : Network Operations Representative Project Role Description : Configure, integrate and manage the life cycle of telecommunication network elements and associated configuration across Fulfillment and Assurance. Manage back office system data records. Support customer activations and configuration adjustments. Must have skills : Network Infrastructures Good to have skills : NA Minimum 15 year(s) of experience is required Educational Qualification : Network Operations Summary :As a Network Operations Representative, you will configure, integrate, and manage the life cycle of telecommunication network elements and associated configuration across Fulfillment and Assurance. You will also manage back office system data records and support customer activations and configuration adjustments. Your typical day will involve ensuring the smooth functioning of network infrastructures and providing technical support to resolve any issues that may arise. Roles & Responsibilities: Expected to be a SME with deep knowledge and experience. Should have Influencing and Advisory skills. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Expected to provide solutions to problems that apply across multiple teams. Manage the configuration and integration of telecommunication network elements. Support customer activations and configuration adjustments. Ensure the smooth functioning of network infrastructures. Provide technical support to resolve network issues. Professional & Technical Skills: Must To Have Skills:Proficiency in Network Infrastructures. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 15 years of experience in Network Infrastructures. This position is based at our Pune office. A Network Operations education is required. Qualifications Network Operations

Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Vmware Virtualization Administration Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Must have skills:Hyper-V, Windows Server Administration Good to have skills:VMWare vSphere, Hardware Management (Cisco UCS, Dell etc), Hyperconverged Infrastructure (VXRail, Nutanix etc).Roles and responsibility:(CL10 Required 6-7 years relevant experience)Candidates should be able to provide Frontline technical assistance and support related to Hyper-V and VMware infrastructure issue's, primary goal is to ensure the smooth operation and maintenance of Hyper-V and VMware environments, addressing user queries, troubleshooting problems, and escalating issues as necessary to higher-level support teams. Candidates should have Strong understanding of Windows Server operating systems (Windows server 2016,2019 & 2022). Proficiency in Hyper-V, Hyper-V Manager, Clustering and Smart Center Virtual Machine Manager (SCVMM). Familiarity with networking concepts, protocols, and troubleshooting techniques. Working experience with server hardware and understanding of Storage & Backup solutions. Candidate should have experience of server builds, health checks & regular maintenance activities. Hands on Experience to perform Windows and VMware Patching and upgrades. Hands on Experience to maintain and Manage Hardware lifecycle activities. Required good problem-solving skills and ability to handle any situation. Candidate should work with vendors as per requirement. Candidate should have work experience of incident, change mgmt and problem mgmt tasks. Identify the repeated tasks and ability to automate. Prepare regular KT plan for juniors to improve their quality of work Identify the Server monitoring gaps and minimize the incidents proactively. Ability to participate in Major incident activities Qualifications 15 years full time education

Responsibilities: Preferred Experience: Thorough technical knowledge of Linux/UNIX/AIX platforms (Ubuntu, RHEL/SuSE). Must be able to demonstrate deep technical troubleshooting and problem-solving skills. Expertise in UNIX heterogeneous platform environments, including Clustering, Backup operations, Patching and Activation, Technical skills in Network components are preferred (DNS, DHCP, TCP). Good fundamentals and technical hands-on experience in Linux/UNIX/AXI troubleshooting. Willingness to develop strong competencies in Linux/UNIX platform support. Knowledge of Shell scripting / Python/Ansible will be a plus. Excellent understanding of ITSM\ITIL processes and certification will be added advantage. Good communication, team building, and interpersonal skill are mandatory. Knowledge and experience in Migration methodologies and Migration tools like Double Take and other related industry-wide deployment/migration tools. Knowledge in Linux VHS V2V - Vmotion and Solaris Zones migration from SHS to SHS is preferred, Solid understanding of cloud computing, networking, and storage principles with a focus on AWS. Azure experience is a plus. Cloud administration, OS/server administration, patching, maintenance, and troubleshooting experience. Willing to work on multiple cloud platforms. Shell scripting and automation experience is a plus. Fundamental understanding of emerging technologies, including Containers and PaaS solutions Able to work on On-Call rotations Able to work independently in a project scenario. Experience handling P1/P2 calls and escalations Able to write quality KB articles, Problem Management articles, and SOPs/Runbooks Passion for delivering timely and outstanding customer service Able to Help L1/L2 staff in support Great written and oral communication skills with internal and external customers Basic Qualifications: 12+ years of overall operational experience 5+ years of experience working in a diverse cloud support environment in a 24*7 production support model 2+ years Scripting/APIs experience Preferred Certifications: Red Hat System Administration AWS SysOps Administrator/Developer/Solutions Architect Associate Certifications Azure Administrator Associate/Solution Architect Certifications GCP Cloud Engineer NOTE: No Distance education, need 15 yrs regular Degree.

Skill required: Delivery - Advanced Analytics Designation: I&F Decision Sci Practitioner Specialist Qualifications: Master of Engineering/Masters in Business Economics Years of Experience: 7 to 11 years What would you do? Data & AI You will be a core member of Accenture Operations global Data & AI group, an energetic, strategic, high-visibility and high-impact team, to innovate and transform the Accenture Operations business using machine learning, advanced analytics to support data-driven decisioning. What are we looking for? Extensive experience in leading Data Science and Advanced Analytics delivery teams Strong statistical programming experience – Python or working knowledge on cloud native platforms like AWS Sagemaker is preferred Azure/ GCP Experience working with large data sets and big data tools like AWS, SQL, PySpark, etc. Solid knowledge in at least more than two of the following – Supervised and Unsupervised Learning, Classification, Regression, Clustering, Neural Networks, Ensemble Modelling (random forest, boosted tree, etc) Experience in working with Pricing models is a plus Experience in atleast one of these business domains:Energy, CPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, Health, Supply Chain Extensive experience in client engagement and business development Ability to work in a global collaborative team environment Quick Learner and Independently deliver results. Qualifications:Masters / Ph.D. Computer science, Engineering, Statistics, Mathematics, Economics or related disciplines. Roles and Responsibilities: Building data science models to uncover deeper insights, predict future outcomes, and optimize business processes for clients. Utilizing advanced statistical and machine learning techniques to develop models that can assist in decision-making and strategic planning. Refining and improving data science models based on feedback, new data, and evolving business needs. Data Scientists in Operations follow multiple approaches for project execution from adapting existing assets to Operations use cases, exploring third-party and open-source solutions for speed to execution and for specific use cases to engaging in fundamental research to develop novel solutions. Data Scientists are expected to collaborate with other data scientists, subject matter experts, sales, and delivery teams from Accenture locations around the globe to deliver strategic advanced machine learning / data-AI solutions from design to deployment. Qualifications Master of Engineering,Masters in Business Economics

Project Role : Tech Delivery Subject Matter Expert Project Role Description : Drive innovative practices into delivery, bring depth of expertise to a delivery engagement. Sought out as experts, enhance Accentures marketplace reputation. Bring emerging ideas to life by shaping Accenture and client strategy. Use deep technical expertise, business acumen and fluid communication skills, work directly with a client in a trusted advisor relationship to gather requirements to analyze, design and/or implement technology best practice business changes. Must have skills : Project Program & Portfolio Governance Good to have skills : NA Minimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and collaborating with multiple teams to make key decisions. Your typical day will involve overseeing the application development process, providing solutions to problems that apply across multiple teams, and ensuring the successful delivery of projects. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute on key decisions Expected to provide solutions to problems that apply across multiple teams Lead the effort to design, build, and configure applications Act as the primary point of contact for the application Oversee the application development process Ensure the successful delivery of projects Professional & Technical Skills: Must To Have Skills:Proficiency in Project Portfolio Management Tools Strong understanding of statistical analysis and machine learning algorithms Experience with data visualization tools such as Tableau or Power BI Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information: The candidate should have a minimum of 12 years of experience in Project Portfolio Management Tools This position is based in Chennai A 15 years full-time education is required Qualifications 15 years full time education

Primary Skills Must have more than a year of Hands-on experience in Datasphere. Experienced with Space, Replication flow, Data builder and Business builder, Business content, Housekeeping activity etc. Experience and ability to grasp functional knowledge in areas covered by reporting portfolio (finance, billing) spacing from analysis to solutiondeployment. Excellent analytical skills with a focus on designs to cover analytics datamodels Experience in building end to end data flows. Experience in fixing day to day issues such as batch failures,identify,analyzeand fix data issues etc Secondary Skills Experience in SAC Good Communication Skills Equal Opportunities at frog Frog and Capgemini Invent are Equal Opportunity Employers encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status, or any other characteristic protected by law.

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Workday Core HCM Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : Proficient in Workday Core HCM with expertise in configuring and implementing core HR functionalities to enhance workforce management and employee experience Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for ensuring the successful implementation of applications and enhancing workforce management and employee experience. Roles & Responsibilities: Expected to be an SME, collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Lead the effort to design, build, and configure applications. Act as the primary point of contact for application-related matters. Ensure the successful implementation of applications. Enhance workforce management and employee experience. Professional & Technical Skills: Must To Have Skills:Proficiency in Workday Core HCM, configuring and implementing core HR functionalities. Strong understanding of Workday Core HCM. Experience in designing and implementing core HR functionalities. Knowledge of workforce management and employee experience enhancement. Hands-on experience in configuring and implementing Workday Core HCM. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 5 years of experience in Workday Core HCM. This position is based at our Bengaluru office. Proficient in Workday Core HCM with expertise in configuring and implementing core HR functionalities to enhance workforce management and employee experience. Qualifications Proficient in Workday Core HCM with expertise in configuring and implementing core HR functionalities to enhance workforce management and employee experience

Project Role : Infra Tech Support Practitioner Project Role Description : Provide ongoing technical support and maintenance of production and development systems and software products (both remote and onsite) and for configured services running on various platforms (operating within a defined operating model and processes). Provide hardware/software support and implement technology at the operating system-level across all server and network areas, and for particular software solutions/vendors/brands. Work includes L1 and L2/ basic and intermediate level troubleshooting. Must have skills : Microsoft SQL Server Administration Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : Graduate Summary :As an Infra Tech Support Practitioner, you will be responsible for providing ongoing technical support and maintenance of production and development systems and software products, both remote and onsite. You will work on various platforms, implementing technology at the operating system-level and performing basic and intermediate level troubleshooting. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute on key decisions Provide solutions to problems for their immediate team and across multiple teams Implement technology at the operating system-level Perform hardware/software support Troubleshoot at L1 and L2 levels Professional & Technical Skills: Must To Have Skills:Proficiency in Microsoft SQL Server Administration Strong understanding of database management Experience in server and network administration Knowledge of software solutions/vendors/brands Troubleshooting skills in hardware and software support Additional Information: The candidate should have a minimum of 5 years of experience in Microsoft SQL Server Administration This position is based at our Mumbai office A Graduate degree is required Qualifications Graduate

Project Role : Infra Tech Support Practitioner Project Role Description : Provide ongoing technical support and maintenance of production and development systems and software products (both remote and onsite) and for configured services running on various platforms (operating within a defined operating model and processes). Provide hardware/software support and implement technology at the operating system-level across all server and network areas, and for particular software solutions/vendors/brands. Work includes L1 and L2/ basic and intermediate level troubleshooting. Must have skills : Microsoft SQL Server Administration Good to have skills : NA Minimum 2 year(s) of experience is required Educational Qualification : BE or Btech Job RequirementsKey Responsibilities1. Support DBA Activities associated with SQL Server2. Ability to lead projects / project team with little oversight.3. Technical guidance to L1/L2/L3 on project Technical Experience1. Experience in SQL server database administration SQL 2012/2014/2016/20192. Strong SQL Skills - Installing and upgrading SQL servers; database engine; SSRS; SSIS; SSAS 3Supporting the On-prem DBs.3. Ability to demonstrate knowledge of the underlying SQL architecture and features 5Experience with SQL migrations and build outs.4. Strong troubleshooting skills as it relates to SQL Server5. Strong understanding of VMWare and virtualization technologies is a plus. Professional Attributes1. Strong critical thinking skills2. Ability to solve issues as required especially during migration/cutover activities.3. Contribute to process and procedures.4. Prepare Documentation SOPs5. Create and maintain infrastructure Best Practices and How-To documentation. Educational QualificationBachelor of Engineering Additional InformationAbility to demonstrate knowledge of the underlying SQL architecture and feature Qualifications BE or Btech

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Google Cloud Data Services Good to have skills : GCP Dataflow, Data Engineering Minimum 2 year(s) of experience is required Educational Qualification : standard 15 years Summary :As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. You will create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. Your typical day will involve designing and developing data solutions, collaborating with cross-functional teams, and ensuring data integrity and quality. Roles & Responsibilities: Expected to perform independently and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work-related problems. Design and develop data solutions for data generation, collection, and processing. Create and maintain data pipelines to ensure efficient data flow. Implement ETL processes to migrate and deploy data across systems. Collaborate with cross-functional teams to understand data requirements and provide technical expertise. Ensure data quality and integrity by implementing data validation and cleansing techniques. Optimize data storage and retrieval processes for improved performance. Troubleshoot and resolve data-related issues in a timely manner. Professional & Technical Skills: Must To Have Skills:Proficiency in Google Cloud Data Services. Good To Have Skills:Experience with Data Engineering, GCP Dataflow. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 2 years of experience in Google Cloud Data Services. This position is based at our Pune office. A standard 15 years of education is required. Qualifications standard 15 years

Skill required: Delivery - Advanced Analytics Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Master of Engineering/Masters in Business Economics Years of Experience: 5 to 8 years What would you do? Data & AI You will be a core member of Accenture Operations global Data & AI group, an energetic, strategic, high-visibility and high-impact team, to innovate and transform the Accenture Operations business using machine learning, advanced analytics to support data-driven decisioning. What are we looking for? Extensive experience in leading Data Science and Advanced Analytics delivery teams Strong statistical programming experience – Python or working knowledge on cloud native platforms like AWS Sagemaker is preferred Azure/ GCP Experience working with large data sets and big data tools like AWS, SQL, PySpark, etc. Solid knowledge in at least more than two of the following – Supervised and Unsupervised Learning, Classification, Regression, Clustering, Neural Networks, Ensemble Modelling (random forest, boosted tree, etc) Experience in working with Pricing models is a plus Experience in atleast one of these business domains:Energy, CPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, Health, Supply Chain Extensive experience in client engagement and business development Ability to work in a global collaborative team environment Quick Learner and Independently deliver results Qualifications:Masters / Ph.D. Computer science, Engineering, Statistics, Mathematics, Economics or related disciplines. Roles and Responsibilities: Building data science models to uncover deeper insights, predict future outcomes, and optimize business processes for clients. Utilizing advanced statistical and machine learning techniques to develop models that can assist in decision-making and strategic planning. Refining and improving data science models based on feedback, new data, and evolving business needs. Data Scientists in Operations follow multiple approaches for project execution from adapting existing assets to Operations use cases, exploring third-party and open-source solutions for speed to execution and for specific use cases to engaging in fundamental research to develop novel solutions. Data Scientists are expected to collaborate with other data scientists, subject matter experts, sales, and delivery teams from Accenture locations around the globe to deliver strategic advanced machine learning / data-AI solutions from design to deployment. Qualifications Master of Engineering,Masters in Business Economics

About NCR Atleos NCR Atleos, headquartered in Atlanta, is a leader in expanding financial access. Our dedicated 20,000 employees optimize the branch, improve operational efficiency and maximize self-service availability for financial institutions and retailers across the globe. NCR Atleos is a global company, bringing its unique knowledge and ATM operating platform to consumers around the world. As a business, NCR Atleos places an emphasis on being the innovation and service leader in each of our markets, improving cash access for everyone while providing important benefits for the retailers and financial institutions that make up our client portfolio. Job Purpose/Summary NCR Atleos is seeking a MS SQL DBA with Azure SQL experienced who will provide support for highly available SQL Server environments. The ideal candidate will be articulate and approachable and have practical/working knowledge of clustering, log shipping, mirroring, replication, and Always On availability groups as methods used to meet business needs. The ideal candidate must also be able to troubleshoot time sensitive production issues in a timely manner. Essential Duties And Responsibilities Experience working in large Azure environments, spanning multiple accounts/subscriptions, availability zones, and regions. Experience to Azure IaaS & PaaS Services, experience in migration of workloads to cloud and understanding of Azure native services and disk pooling. Experience in managing SQL Server 2008, 2012, 2014 ,2016 and 2019 as well as sun setting older databases/versions. Experience to configure and maintain database servers and processes, including monitoring of system health and performance, to ensure high levels of performance, availability, and security. Install, monitor for, download and apply upgrades, updates and fixes database software on servers as needed. Monitor databases for performance and issues using monitoring tools. Good Experience in backups, restores, recovery models, database shrink operations, DBCC commands. Experience with Always On design, Availability groups, replication, log shipping, mirroring and storage replication technologies. Knowledge of SQL Server tools (Profiler, DTA, SSMS, SAC, SSCM, PerfMon, DMVs, system procs)Ability to set priorities and follow project schedules. Checking Alert Log files for Internal Database Activity, and related issues. Proactive action on the alerts. Owning, tracking and resolving database related incidents and requests, fulfilling requests and resolving incidents within SLAsHighly self-motivated and excellent time management skills. Strong interpersonal and communication skills. Works independently with general supervision, exercises judgment within defined guidelines and practices to determine appropriate action. Core Competencies And Skills Ability to work independently as well as with a team of onshore and offshore resources. Team player and acts both as a player. Education Bachelor's degree in Computer Science or equivalent degree/experience and relevant working experience. Experience Minimum 5+ years of experience as MS SQL database administrator. Hands-on experience with MS SQL Server 2008 R2, 2012, 2014, 2016 and 2019 required. Experience with Azure SQL in a multi-region configurationExpertise Microsoft SQL Server on VM, Azure SQL Managed Instance, Azure SQL. Success criteria and performance measures Demonstrates collaboration with multiple teams for successful solutions. Adheres to standards and guidelines. Continually monitors creative product to ensure it conforms to the existing environments. Flexible work hours and provide 24x7 support for critical production systems. Offers of employment are conditional upon passage of screening criteria applicable to the job. EEO Statement NCR Atleos is an equal-opportunity employer. It is NCR Atleos policy to hire, train, promote, and pay associates based on their job-related qualifications, ability, and performance, without regard to race, color, creed, religion, national origin, citizenship status, sex, sexual orientation, gender identity/expression, pregnancy, marital status, age, mental or physical disability, genetic information, medical condition, military or veteran status, or any other factor protected by law. Statement to Third Party Agencies To ALL recruitment agencies: NCR Atleos only accepts resumes from agencies on the NCR Atleos preferred supplier list. Please do not forward resumes to our applicant tracking system, NCR Atleos employees, or any NCR Atleos facility. NCR Atleos is not responsible for any fees or charges associated with unsolicited resumes.

15+ years of Operating System administration or equivalent experience required AIX SME UNIDATA SME MPE/iX Operating System Demonstrated experience in building, tuning, and administering AIX and POWERHA Developing Timefinder backup scripts HP-UX hands on experience as Secondary skillset will be added advantage Demonstrated experience in systems and database integration support from OS standpoint Experience with OS infrastructure supporting patient care, financial and administrative applications preferred Extensive experience migrating applications and data installations from other Unix platforms to AIX platform Extensive experience in virtualization and VIO servers, SEA, NPIV, SR-IOV etc." to "Extensive experience in virtualization and VIO servers, SEA, NPIV, SR-IOV, vNIC failover etc. Knowledge of 802.1Q encapsulation for VLAN tagging Extensive experience in Unix and Linux shell scripting Good experience in V2P and P2V" to "Assess capacity on the managed system and make recommendations to add capacity by adding resources or reconfiguring the managed system Excellent knowledge on building of LPARs in P7, P8 and P9 servers with virtualization and clustering Monitor IBM notifications for critical updated for AIX, VIOS, POWER firmware, etc. Test and deploy HIPER fixes in a timely manner Storage migration between different storage arrays Hardware migration from P6, P7 to P8 & P9 Good experience in V2P and P2V POWERHA migration from 6.1 and 7.1 to 7.2 NIMADM migration from AIX 6.1/7.1 to 7.2 Experience with BMC Patrol, Strong understanding of LVM, LPM, Virtualization concepts, HP Service Manager, Patch Management, Capacity Planning,