6290 Data Analytics Jobs - Page 31

We are looking for a skilled Senior Analyst to join our team at eClerx Services Ltd., with 7-10 years of experience in the IT Services & Consulting industry. Roles and Responsibility Collaborate with cross-functional teams to analyze complex data sets and provide actionable insights. Develop and implement process improvements to increase efficiency and productivity. Conduct thorough analysis of market trends and competitor activity to identify opportunities for growth. Provide expert guidance on analytical tools and methodologies to junior team members. Develop and maintain databases and data systems to support business intelligence initiatives. Communicate findings and recommendations to senior management through clear and concise reports. Job Requirements Strong understanding of analytical principles and practices, including statistical modeling and machine learning. Experience with large datasets and advanced analytics tools such as SAS or R. Excellent communication and problem-solving skills, with the ability to work effectively in a team environment. Ability to prioritize multiple projects and meet deadlines in a fast-paced environment. Strong attention to detail and ability to interpret complex data sets. Experience working with IT Services & Consulting firms is preferred.

We are looking for a skilled Senior Analyst to join our team at eClerx Services Ltd., with 7-10 years of experience in the IT Services & Consulting industry. Roles and Responsibility Collaborate with cross-functional teams to analyze complex data sets and provide actionable insights. Develop and implement process improvements to increase efficiency and productivity. Conduct thorough analysis of market trends and competitor activity to identify opportunities for growth. Provide expert guidance on analytical tools and methodologies to junior team members. Develop and maintain databases and data systems to support business intelligence initiatives. Communicate findings and recommendations to senior management through clear and concise reports. Job Requirements Strong understanding of analytical principles and practices, including statistical modeling and machine learning. Experience with large datasets and advanced analytics tools such as SAS or R. Excellent communication and problem-solving skills, with the ability to work effectively in a team environment. Ability to prioritize multiple tasks and deadlines in a fast-paced environment. Strong attention to detail and organizational skills, with the ability to maintain accurate records and reports. Bachelor's degree in any discipline; advanced degree preferred.

The ideal candidate must possess strong communication skills, with an ability to listen and comprehend information and share it with all the key stakeholders, highlighting opportunities for improvement and concerns, if any. He/she must be able to work collaboratively with teams to execute tasks within defined timeframes while maintaining high-quality standards and superior service levels. The ability to take proactive actions and willingness to take up responsibility beyond the assigned work area is a plus. Senior Analyst Roles & responsibilities: Provide KYC/Client Due Diligence (CDD) Subject Matter Expertise and guidance to the team, in view of establishing the highest levels of quality. Seek to perform an independent quality check of client profile updates during Lifecycle Management process, including Client Corporate Structure, Source-of-Wealth, KYC, Tax, US Indicia, Sanctions, PEP, Sustainability Risk, Reputational Risk and Client Risk Score, to ensure adherence to regulatory requirements and Bank policies Be the single point of contact / case manager for Team, on Periodic Review cases Be the Subject Matter-Expert (SME) in Focused Review processes, to assist with the implementation and delivery of continuous process/technology improvements Uphold the highest standards of control, always keeping data integrity and process controls in mind while carrying out day-to-day work Stay up-to-date with the latest regulatory, policy and procedural requirements, and take ownership of relevant procedural updates Report higher risk matters or regulatory questions to the Financial Crime Compliance team Engage business partners in Back Office, Compliance and Operations regularly, to enable effective collaboration in day-to-day work Provide support for any regulatory & audit related reviews, and training/walkthrough of client onboarding process, as required Assist with the continuous operational improvements, in view of the changing operating and regulatory environment, and participate in projects in view of Clients strategic objectives and vision Functional & Technical Skills: Bachelor's Degree in B. Com /BBM or Masters Degree in M. Com/MBA/PGDM 2 to 6 years' experience in AML Compliance & KYC within the financial services industry with experience in conducting due diligence. Sound business acumen - a practical and positive approach to meeting CDD/KYC requirements in a client facing environment. Knowledge of or experience in a professional services firm would be beneficial. Ability to independently research, analyze, and recommend solutions to close open items and discrepancies with client Outstanding analytical and investigative skills combined with the ability to navigate through ambiguity in a fast-paced, multifaceted environment Strong knowledge of client structures typically used within the financial services industry. Knowledge of and a drive to stay up-to-date with industry developments in KYC/CDD. Strong verbal and written communicator with the ability to work as part of the client facing team and a track record for building positive relationships with colleagues. Proven analytical and problem solving mindset with an ability to develop innovative solutions, including the use of technology. Being able to influence change in processes and be proactive in finding solutions where requirements are unclear. Ability to think digitally about solutions to complex problems and use technology to drive efficiencies. Good experience in MS-Office applications like Excel, Word, Power point, Outlook etc. eClerx Financial Markets offers consulting, technological innovation, and process management expertise to uniquely solve operational challenges for financial organizations worldwide. With nearly two decades of industry experience, complemented by smart automation and robotics, our team of experts delivers holistic solutions across the trade lifecycle, change management, data analytics, compliance, cash securities operations, document digitization and generation, and outreach. To know more about us, visit eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law At eClerx, we value diversity and are committed to creating an inclusive environment for all employees. We encourage applications from all qualified individuals, regardless of race, ethnicity, gender, gender identity or expression, sexual orientation, age, disability, religion, or any other characteristic protected by law. We believe that diverse perspectives strengthen our team and enhance our ability to serve our clients effectively.

Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytms mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Job Summary: We are seeking an experienced and highly analytical professional to join our Internal Audit team. This role is critical in providing independent assurance, enhancing the control environment, and leveraging data analytics to identify anomalies, control gaps, and potential fraud risks. The ideal candidate will have a strong background in internal audit, forensic investigations, and data analytics with extensive exposure to fintech or large service-based organizations. Key Responsibilities: ‚ Lead and execute risk-based internal audits, including operational, financial, and compliance reviews. ‚ Design and implement data analytics frameworks and continuous auditing techniques to enhance audit efficiency and coverage. ‚ Conduct forensic reviews and investigations into suspected fraud, misconduct, or control failures. ‚ Collaborate with cross-functional teams to understand key business processes and identify risks and controls. ‚ Develop automated dashboards and data-driven tools to monitor key risk indicators and red flags. ‚ Report audit findings to senior management and stakeholders with actionable recommendations. ‚ Oversee documentation of working papers, audit procedures, and evidence in line with professional standards. ‚ Mentor junior audit staff and build analytics capability within the team. ‚ Liaise with external auditors, regulators (as needed) on investigations or audits. ‚ Monitor regulatory and industry developments to ensure audit approaches are up to date. Required Qualifications ; Skills: ‚ Chartered Accountant (CA), Certified Internal Auditor (CIA), or Certified Fraud Examiner (CFE) preferred. ‚ 2"“10 years of relevant experience in internal audit, forensic investigations, or risk advisory in a fintech, BFSI, or large service industry setup. ‚ Strong command of data analytics tools (e.g., SQL, ACL, IDEA, Power BI, Python, R). ‚ Proficient in audit management systems and GRC platforms. ‚ Exceptional analytical, investigative, and report-writing skills. ‚ High ethical standards, sound judgment, and the ability to handle confidential information with discretion. ‚ Excellent communication and stakeholder management abilities. Preferred Attributes: ‚ Exposure to digital lending, payments, or financial services platforms. ‚ Experience in automating audit processes and developing audit analytics strategy. ‚ Managing multiple project and execution at a very faster speed. ‚ Go to person for any audit / review SME skills ‚ Hustler and managing end to end projects with minimal handholding.

Data Analyst Salesforce & Power BI Must . Immediate Joiners Preferred 4-8 Years Data Analysis: Analyze large datasets to extract meaningful insights and trends. Develop and implement statistical models and algorithms for data analysis. Dashboard Development: Design and create interactive dashboards and reports using visualization tools (e.g., QlikSense Tableau, Power BI) to present data-driven insights. Collaborate with stakeholders to understand reporting requirements. Data Visualization: Create visually compelling charts, graphs, and visualizations to communicate complex data concepts clearly. Data Mining: Apply data mining and machine learning techniques to discover patterns and correlations in data. Data Quality Assurance: Implement and maintain data quality checks to ensure the accuracy and reliability of analytical results. Collaboration and Stakeholder Management: Collaborate with cross-functional teams, including business analysts, data engineers, and decision-makers. Good to have Skills: Migration strategies from one database to another, both on premises and using cloud infrastructure. Experience in defining and running Extract, Transform, and Load (ETL) pipelines. Expertise in various database technologies with the ability to apply technology to use cases. 1. Experience in data analytics and visualization. 2. Proficiency in data visualization tools (e.g., QlikSense, Tableau, Power BI). 3. Strong programming skills, especially in Python or R. 4. Experience with statistical analysis and machine learning techniques. 5. Capability to create data pipelines for KPI Dashboards. Please note that for the Data Analyst roles we need someone with Salesforce reporting and Salesforce data management experience. This is a mandatory parameter.

Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients acrossbanking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. Location- Bangalore Work Mode - Hybrid Shift12.30 PM - 9.30 PM IST Tableau Developer5-8 yrs Exp Data modelling and data blending using various tools and database expressions (sql, teradata, AWS,gcp) Tableau expressions and performance tuning Ui/ux design of dashboards Tableau server side

and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients acrossbanking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. MAKE AN IMPACT RoleCredit risk strategy analyst LocationBengaluru/ Pune/ Chennai/ Hyderabad/ Kolkata Experience5 - 12 years Work modeHybrid : Unsecured Strategy Development Prior experience in managing risk activities in retail lending. Min 5+ years exp experience in analytics specifically in the fields like Credit Risk Model Development, Strategy Development, Vintage profitability modeling, Portfolio Insights. Prior hands-on experience with development of acquisition risk strategy (Approve/Decline), account management strategy, strategy analysis, portfolio management & financial modelling would be mandatory. Technical expertise on SAS, Excel, Python etc. The incumbent would be expected to effectively explain the trends, adding meaningful insights on the back of relevant business knowledge. This role requires the incumbent to plan and execute the assigned projects/ analysis as per the agreed timelines and with accuracy and quality Demonstrate strong product / business knowledge and leverage the same to enhance quality of output by tying analysis back to business trends. Use the same to drive business benefits Support development and deployment of key analytical frameworks/strategies in line with business priorities. Provide actionable solutions for business problems including unstructured problems and ad-hoc queries with quick turnaround time WHY JOIN CAPCO You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer: A work culture focused on innovation and building lasting value for our clients and employees Ongoing learning opportunities to help you acquire new skills or deepen existing expertise A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients A diverse, inclusive, meritocratic culture Enhanced and competitive family friendly benefits, including maternity / adoption / shared parental leave and paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement NEXT STEPS If youre looking forward to progressing your career with us, please do not hesitate to apply. We are looking forward to receiving your application. To learn more about Capco and its people check out the website on www.capco.com Location - Bengaluru,Chennai,Hyderabad,Kolkata,Pune

Responsibilities & Key Deliverables Fundamentals Engineering Physics, Engineering Mathematics, Basic Statistics Engineering Excellence Problem Analysis, Design Thinking, Concept Generation & Evaluation, Detailed Design, Innovative Problem Project Excellence Basics of Project Management, Industrial Engineering and Management System Essentials Mechanism Design, Gears, Shafts Subsystems Design, CAE Durability ( Fatigue Theory ), Selection of Materials, Vehicle System Validation, Architectural Design (Transmission System Design, Hydraulic System Future Competency Machine Learning, Robotics, IoT, AI, Data Analytics Experience Industry Preferred Qualifications General Requirements

Position Summary: We are seeking a highly motivated and skilled Senior Auditor to join our growing Internal Audit team based in India. Reporting to the Director of Internal Audit in India and indirectly to the Chief Audit Executive (CAE) located in the United States this role will be instrumental in executing global audits, supporting risk management initiatives, and driving process improvements across business units and geographies. This is a dynamic opportunity to be part of a high-impact team, contributing to the development of a scalable, global internal audit function. Key Responsibilities: Plan, execute, and document risk-based audits, including operational, financial, compliance, and IT reviews. Develop and refine audit programs and testing strategies aligned with audit objectives and company risk profile. Perform walkthroughs, evaluate internal controls, identify process inefficiencies, and propose actionable recommendations. Support the company s SOX compliance efforts, including control testing, issue tracking, and coordination with external auditors. Collaborate closely with global business stakeholders to ensure timely communication of audit findings and remediation plans. Prepare high-quality audit workpapers and reports with strong documentation to support conclusions. Participate in the continuous improvement of internal audit methodology, including data analytics and use of automation tools. Assist with the development of audit plans, risk assessments, and special projects as directed by Internal Audit leadership.

Join our team to revolutionize financial data access and empower customers with innovative solutions. As a Product Owner within the Digital Import Aggregation team, you will collaborate with technology, design, and business stakeholders to develop tools that enable customers to safely access their financial data. You will play a key role in creating innovative experiences while adhering to data sharing principles of security, customer control, convenience, and privacy. Job Responsibilities Collaborate with product owners, design, and other stakeholders to understand customer needs and define feature requirements. Manage projects, navigate complex organizations, and create networks to accomplish critical objectives. Define metrics and KPIs for Import Aggregation use cases and features to inform the overall roadmap. Create flow diagrams that capture user experience and technology interactions. Componentize initiatives into executable Epics for further refinement with technology partners. Identify and sequence dependencies across feature teams. Lead refinement sessions to define and write Stories in collaboration with development teams. Work closely with Product Managers, Project Management, and Agility Leads on the prioritization and scheduling of Stories to meet sprint and release goals. Required Qualifications, Capabilities, and Skills Minimum of 3 years of experience in financial services, digital platforms, and/or software development, preferably as a Product Owner. Experience in working with and documenting requirements for APIs and diverse database technologies (SQL, Oracle, Cassandra etc. ). Strong understanding of and ability to work within Agile methodology. Proven track record delivering large, complex initiatives from Discovery to Delivery. Must be proficient in JIRA; proficiency in Visio, PowerPoint, and Excel preferred. Commitment and self-motivation suitable to a start-up team. Preferred Qualifications, Capabilities, and Skills Experience working with vendors and third-party partnerships. Familiarity with digital product business cases for financial service products. Past experience working with UI team. Strong data analytics skills and familiarity with API-based events and data models. Join our team to revolutionize financial data access and empower customers with innovative solutions. As a Product Owner within the Digital Import Aggregation team, you will collaborate with technology, design, and business stakeholders to develop tools that enable customers to safely access their financial data. You will play a key role in creating innovative experiences while adhering to data sharing principles of security, customer control, convenience, and privacy. Job Responsibilities Collaborate with product owners, design, and other stakeholders to understand customer needs and define feature requirements. Manage projects, navigate complex organizations, and create networks to accomplish critical objectives. Define metrics and KPIs for Import Aggregation use cases and features to inform the overall roadmap. Create flow diagrams that capture user experience and technology interactions. Componentize initiatives into executable Epics for further refinement with technology partners. Identify and sequence dependencies across feature teams. Lead refinement sessions to define and write Stories in collaboration with development teams. Work closely with Product Managers, Project Management, and Agility Leads on the prioritization and scheduling of Stories to meet sprint and release goals. Required Qualifications, Capabilities, and Skills Minimum of 3 years of experience in financial services, digital platforms, and/or software development, preferably as a Product Owner. Experience in working with and documenting requirements for APIs and diverse database technologies (SQL, Oracle, Cassandra etc. ). Strong understanding of and ability to work within Agile methodology. Proven track record delivering large, complex initiatives from Discovery to Delivery. Must be proficient in JIRA; proficiency in Visio, PowerPoint, and Excel preferred. Commitment and self-motivation suitable to a start-up team. Preferred Qualifications, Capabilities, and Skills Experience working with vendors and third-party partnerships. Familiarity with digital product business cases for financial service products. Past experience working with UI team. Strong data analytics skills and familiarity with API-based events and data models.

Educational Requirements MCA,MSc,Bachelor of Engineering,BBA,BSc Service Line Data & Analytics Unit Responsibilities Understand the requirements from the business and translate it into an appropriate technical requirement. Responsible for successful delivery of MLOps solutions and services in client consulting environments; Define key business problems to be solved; formulate high level solution approaches and identify data to solve those problems, develop, analyze/draw conclusions and present to client. Assist clients with operationalization metrics to track performance of ML Models Help team with ML Pipelines from creation to execution Guide team to debug on issues with pipeline failures Understand and take requirements on Operationalization of ML Models from Data Scientist Engage with Business / Stakeholders with status update on progress of development and issue fix Setup Standards related to Coding, Pipelines and Documentation Research on new topics, services and enhancements in Cloud Technologies Technical and Professional Requirements: Educational Requirements (any of the following): Bachelor of Engineering/Bachelor of Technology in any stream with consistent academic track record. Bachelor's degree in a quantitative discipline (e.g., Operation Research, Statistics, Mathematics) or significant relevant coursework with consistent academic track record.Additional Academic Qualification (good to have): Masters in any area related to Science, Operation Research, Mathematics and Statistics with consistent academic track record. PhD in any stream. Preferred Skills: Technology-Analytics - Functional-Business Analyst

Educational Requirements Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities A day in the life of an Infoscion As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction. You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain. You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews. You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes. You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Technical and Professional Requirements: Primary skills:Data QualityIDQ Preferred Skills: Technology-ETL & Data Quality-ETL & Data Quality - ALL

Educational Requirements MCA,MSc,Bachelor of Engineering,BBA,BSc Service Line Data & Analytics Unit Responsibilities Roles & Responsibilities: Understand the requirements from the business and translate it into an appropriate technical requirements. Creating a detailed business analysis, outlining problems, opportunities and solutions for a business. Perform activities related to data wrangling, model building and model deployment. Stay current with the latest research and technology and communicate your knowledge throughout the enterprise. Lead initiatives to improve the team morale, camaraderie, and collaboration Additional Responsibilities: Nice to have Skills: SQL knowledge and experience working with relational databases. Understanding of any one of domain (EgRetail, Supply chain, Logistics, Manufacturing). Understanding of the project lifecycleswaterfall and agile.Soft Skills: Strong verbal and written communication skills with the ability to work well in a team. Strong customer focus, ownership, urgency and drive. Ability to handle multiple, competing priorities in a fast-paced environment. Work well with the team members to maintain high credibilityWork Experience: 2 - 5 years of experience in Data Analytics, Data Science or Data Visualization.Educational Requirements (any of the following): Bachelor of Engineering/Bachelor of Technology in any stream with consistent academic track record. Bachelor's degree in a quantitative discipline (e.g., Statistics, Economics, Mathematics, Marketing Analytics) or significant relevant coursework with consistent academic track record.Additional Academic Qualification (good to have): Masters in any area related to Science, Mathematics, Statistics, Economy and Finance with consistent academic track record. PhD in any stream.Location Bangalore, Pune, Hyderabad, Chennai, Trivandrum, Mysore Technical and Professional Requirements: Must Have Skills: Hands-on experience in Data Science, Python/R Coding and associated state of the art technologies for Exploratory Data Analysis, building predictive models with big data. Familiarity with standard Clustering, Classification, dimensionality reduction and other techniques/Algorithms in Machine learning. Ability to communicate actionable insights using data, often to a non-technical audience. Ability to drive end-to-end data driven solutions with excellent sense of risk and resource management in any given situation Good knowledge on statistical concepts such as properties of distributions, statistical tests and their proper usage. Analyze and extract relevant information from large amounts data to help in automating the solutions and optimizing key processes. A quick and enthusiastic learner (must) and who is willing to work on new technologies depending on requirement. Preferred Skills: Technology-Data Science-Machine Learning

Develop, test and support future-ready data solutions for customers across industry verticals. Develop, test, and support end-to-end batch and near real-time data flows/pipelines. Demonstrate understanding of data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies. Communicates risks and ensures understanding of these risks. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Graduate with a minimum of 5+ years of related experience required. Experience in modelling and business system designs. Good hands-on experience on DataStage, Cloud-based ETL Services. Have great expertise in writing TSQL code. Well-versed with data warehouse schemas and OLAP techniques. Preferred technical and professional experience Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate. Must be a strong team player/leader. Ability to lead Data transformation projects with multiple junior data engineers. Strong oral written and interpersonal skills for interacting throughout all levels of the organization. Ability to communicate complex business problems and technical solutions.

Your Role and Responsibilities An AI Solution Engineer at IBM is not just a job title - it's a mindset. You'll leverage the watsonx platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients.We are seeking an experienced and innovative AI Solution Engineer to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges.Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.Customer Engagement and SupportAct as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases.Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members.Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Required education Bachelor's Degree Required technical and professional expertise Understanding of key concepts in the Foundation Models literature and expertise in building and deploying them for real-world examples. Knowledge of cloud technologies and expertise in leveraging them for large-scale AI or FM workloads. Ability to identify fundamental problems from real-world cloud use-cases and to design, build and validate successful AI solutions. Capability to demonstrate and evaluate AI solutions via experimental methods, particularly through hands-on creation of prototypes. Strong communication skills and the ability to collaborate effectively within a local team. Excellent command of the English language, both verbal and written. Preferred technical and professional experience Strong contribution record demonstrated through active participation in open source communities, sharing technical resources and educational content, maintaining influential technical blogs or social media presence, and public evangelism of technology through speaking engagements, workshops and community events. Track record in being part of highly collaborative teams to tackle important problems which produce high impact solutions. Expertise in Python programming and statistical analysis including experience with advances statistical methods, data modelling and implementing efficient algorithmic solutions.

IBM Software Support Organisation is seeking a Technical Support Professional to join our team! IBM Software Technical Support Engineers take pride in helping customers by solving problems and answering questions both large and small. Support Engineers develop a mastery of our different products and use that knowledge to enable customers to overcome problems while sharing best practices. This important role is a hub within the company. Technical Support Engineers take questions, issues, and feedback from users and work with Solution Architects, Product Management and Engineering to continuously improve our solutions. Additionally, Technical Support Engineers are encouraged and provided the opportunity to hone their technical skills and deepen their knowledge. Areas of responsibility include: Engage on cases effectively in a timely manner working as part of a Global 24X7 team. Work closely with Engineering and Operations on resolving escalated cases. Educate customers to help them become product experts. Write knowledge base articles based on customer questions. Develop and maintain strong customer relationships. Provide technical engineering support, as part of our Technical Support Team, to resolve customer issues by performing diagnostics, performance optimization, incident analysis, solution partner recommendations, and product knowledge transfer. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Passion for customer care and customer satisfaction and self-motivated towards meeting agreed goals. Good spoken and written communication skills along with ability to collaborate with the team and act as a team player. 7+ years of previous experience in a customer facing technical support/development role with experience in Maximo Asset Management/Maximo Application Suite software and good knowledge of Cloud technologies (Red Hat OpenShift/Azure/Kubernetes). A successful track record in developing and managing customer relationships. EnglishFluent. Preferred technical and professional experience You would make a great addition to our team if you have great skills in some of the following: Experience in shell scripting and programming languages such as Java, C++. Understanding about Mobile technologies. Proficient in Windows/Linux operation system. Experience in Databases including MongoDB, DB2/Oracle/SQL Server. Understanding of the application development projects and Administration knowledge of Application Servers(WebSphere/WebLogic). Working knowledge or Understanding of web technologies and/or data analytics.

Develop, test and support future-ready data solutions for customers across industry verticals. Develop, test, and support end-to-end batch and near real-time data flows/pipelines. Demonstrate understanding of data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies. Communicates risks and ensures understanding of these risks. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Graduate with a minimum of 5+ years of related experience required. Experience in modelling and business system designs. Good hands-on experience on DataStage, Cloud-based ETL Services. Have great expertise in writing TSQL code. Well-versed with data warehouse schemas and OLAP techniques. Preferred technical and professional experience Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate. Must be a strong team player/leader. Ability to lead Data transformation projects with multiple junior data engineers. Strong oral written and interpersonal skills for interacting throughout all levels of the organization. Ability to communicate complex business problems and technical solutions.

IBM Z GSI Solution Architects drive adoption of technology patterns for mainframe application and operations modernization. Therefore, all Solution Architects should be able understand, appreciate and advocate the hybrid, in-place modernization leveraging the latest software and hardware advancements and capabilities on IBM Z. As a Senior Solution Architect, you will have - 15+ years of industry experience with 5+ years of experience as a Solution Architect Demonstrated expertise to engage with Clients /Partners and communicate effectively as a subject matter expert (SME) on IBM Z Prior experience of working with a System Integrator and building solution offerings is a plus Ability to learn and articulate the value of modernizing applications and operations on Mainframe and influence clients and Partners to embark on this journey Experience in working with technologies and offerings around Data and AI, Security, Hybrid Cloud, DevOps and Cloud Native Application development, preferably on IBM Z platform. Hands-on skills with technology to be able create demo assets and showcase to customers, conduct PoCs/PoTs, conduct enablement sessions etc. Ability to collaborate with other parts of IBM to help GSIs embrace the hybrid, in-place modernization on IBM Z Ability to engage with Senior Executives, Practice /Vertical Heads of the top GSIs of IBM and IBM Consulting to create valueproposition, content and assets to drive Mainframe skills, capabilities and expertise for client engagements. Solution Architect for Z would primarily perform one or more of the following Co-creation of solutions with GSI partners Development of customizable solution offerings covering various SI personas GSI consumable collateral, Frameworks, Accelerators etc. that are subsequently customized by SIs for their use. Creation of Industry solution accelerators Education / Enablement of GSIs with new solutions or new offerings. Support GSIs during internal or client POCs Support joint technical engagements with clients. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proficiency with middleware such as Db2, IMS, CICS, MQ, WAS Experience with DevOps, CI/CD pipelines, automation, and orchestration tools Understanding of AI/ML solutions, Python basics, data analytics and data modernization strategies on IBM Z Deep experience with IBM z/OS, z security (including RACF), z networking, and Linux on z (RHEL, Ansible, z/VM) Expertise in integrating applications and modernizing data environments using APIs and microservices Experience with enterprise automation, AIOps and observability tools Good knowledge of OpenShift, Cloud and container technologies, Knowledge of IBM Cloud Paks is a plus. Demonstrated communication skills in customer-facing environments at all levels (technical, business and executive leadership levels) Experience collaborating with cross-functional teams, stakeholders and ecosystem partners Ability to lead architectural design, conduct workshops, and mentor junior architects and engineers Preferred technical and professional experience Hands on skills on Software Installation / Maintenance on System Z , System Administration, Performance Tuning tasks would be a plus. Working knowledge of cloud services that are a key part of REST API driven integration architecture and administrative skills on cloud platforms preferred.

As an Application Developer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world’s technology leader. Come to IBM and make a global impact Responsibilities: Responsible to manage end to end feature development and resolve challenges faced in implementing the same Learn new technologies and implement the same in feature development within the time frame provided Manage debugging, finding root cause analysis and fixing the issues reported on Content Management back end software system fixing the issues reported on Content Management back end software system Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Tableau Desktop & Server SQL, Oracle & Hive, Communication Skills, Project Management * Multitasking, Collaborative Skills Proven experience in developing and working Tableau driven dashboards, analytics. Ability to query and display large data sets while maximizing the performance of workbook. Ability to interpret technical or dashboard structure and translate complex business requirements to technical Preferred technical and professional experience Tableau Desktop & Server SQL ,Oracle & Hive

In the IBM Chief Information Office,you will be part of a dynamic team driving the future of AI and data science in large-scale enterprise transformations. We offer a collaborative environment where your technical expertise will be valued, and your professional development will be supported. Join us to work on challenging projects, leverage the latest technologies, and make a tangible impact on leading organisations. As a Data Scientist within IBM's Chief Information Office, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven solutions that align with business goals. This role involves working with team members to translate data insights into actionable recommendations. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Support the implementation and optimisation of AI-driven strategies per business stakeholder requirements. Help refine data-driven methodologies for transformation projects. Data Science and AI: Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyse complex datasets and generate actionable insights. Learn and utilise cloud platforms to ensure the scalability of AI solutions. Leverage reusable assets and apply IBM standards for data science and development. Project Support: Lead and contribute to various stages of AI and data science projects, from data exploration to model development. Monitor project timelines and help resolve technical challenges. Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs. Collaboration: Ensure alignment to stakeholders’ strategic direction and tactical needs. Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Contribute technical expertise to cross-functional teams. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree is strongly preferred Experience: 5+ yearsof experience in data science, AI, or analytics with a focus on implementing data-driven solutions Experience with data cleaning, data analysis, A/B testing, and data visualization Experience with AI technologies through coursework or projects Technical Skills: Proficiency in SQL and Python for performing data analysis and developing machine learning models Knowledge of common machine learning algorithms and frameworkslinear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch Experience with cloud-based platforms and data processing frameworks Understanding of large language models (LLMs) Familiarity with IBM’s watsonx product suite Familiarity with object-oriented programming Analytical Skills: Strong problem-solving abilities and eagerness to learn

Advanced Programming Skills in Python,Scala,GoStrong expertise in developing and maintaining microservices in Go (or other similar languages), with the ability to lead and mentor others in this area. Extensive exposure in developing Big Data Applications ,Data Engineering ,ETL and Data Analytics . Cloud ExpertiseIn-depth knowledge of IBM Cloud or similar cloud platforms, with a proven track record of deploying and managing cloud-native applications. Leadership and CollaborationAbility to lead cross-functional teams, work closely with product owners, and drive platform enhancements while mentoring junior team members. Security and ComplianceStrong understanding of security best practices and compliance standards, with experience ensuring that platforms meet or exceed these requirements. Analytical and Problem-Solving Skills: Excellent problem-solving abilities with a proven track record of resolving complex issues in a multi-tenant environment. Required education Bachelor's Degree Required technical and professional expertise 4-7 years' experience primarily in using Apache Spark, Kafka and SQL preferably in Data Engineering projects with a strong TDD approach. Advanced Programming Skills in languages like Python ,Java , Scala with proficiency in SQL Extensive exposure in developing Big Data Applications, Data Engineering, ETL ETL tools and Data Analytics. Exposure in Data Modelling, Data Quality and Data Governance. Extensive exposure in Creating and maintaining Data pipelines - workflows to move data from various sources into data warehouses or data lakes. Cloud ExpertiseIn-depth knowledge of IBM Cloud or similar cloud platforms, with a proven track record of developing, deploying and managing cloud-native applications. Good to have Front-End Development experienceReact, Carbon, and Node for managing and improving user-facing portals. Leadership and CollaborationAbility to lead cross-functional teams, work closely with product owners, and drive platform enhancements while mentoring junior team members. Security and ComplianceStrong understanding of security best practices and compliance standards, with experience ensuring that platforms meet or exceed these requirements. Analytical and Problem-Solving Skills: Excellent problem-solving abilities with a proven track record of resolving complex issues in a multi-tenant environment. Preferred technical and professional experience Hands on experience with Data Analysis & Querying using SQLs and considerable exposure to ETL processes. Expertise in developing Cloud applications with High Volume Data processing. Worked on building scalable Microservices components using various API development frameworks.

Conducting classroom Training on programming skills Creating a positive and engaging learning environment A passion for teaching and helping students achieve their career goals Strong knowledge of SQL. Python, Data Science, ML, DL, NLP, Power Bi

Deliver theory + real-time project-based training in AI / ML / Data Science, Full Stack Web Development (Java / Python), Cyber Security, Data Analytics, Embedded Systems. Deliver theory & Practical hands-on training and real-time project guidance

Job Purpose: The role holder's primary responsibility is to drive business excellence projects identified by the organization to focus on improving quality, cost, delivery, safety, and morale seamlessly converge, creating an environment of optimal productivity and continuous growth. To drive continuous improvement and initiate process improvement activities, involve in analysis, planning, implementation, documentation, and support of operation process improvement projects. To also execute concepts such as Lean, 6 sigma etc to build operational excellence. Role & Responsibilities : Strategy & Planning: Provide framework for manufacturing excellence in order to establish a strategic vision for the technical function. Define the scope of manufacturing excellence initiatives with President Operations / Plant heads to finalize priorities for the function. Provide analytical inputs on key manufacturing performance indicators such as capacity utilization, cost effectiveness, efficiency, monthly production targets for key bottleneck dosage forms, etc Closely work with the leadership team to improve plant performance and optimize cash flow to support business growth by applying Manufacturing Excellence Methodologies Operational/ Functional Excellence: Work closely with cross functional teams in identifying Savings and Efficiency improvement projects under categories line Lean, Six sigma, Technology roadmap, Material sourcing etc. Coordinate closely with project leaders, ensure project schedule adherence, validate project savings, Generate monthly savings report in alignment with finance. Aim towards reducing waste and costs and improve quality with a focus on continuous improvement and optimization of business processes and systems to achieve better results. Drive the plant 5S implementation roadmap & Motivate and drive towards Kaizen system across all the functions Improve operational efficiencies & process capabilities using lean principles and six sigma techniques Lead identification of resource requirements, timelines and dependencies in order to finalize project plan Process Excellence: Build value stream mappings and enable the team to use Lean tools and DMAIC methodology in improvement projects. Lead the implementation of manufacturing excellence programs by collaborating with Site Heads, monitoring project progress, resolving bottlenecks and providing key technical inputs to ensure streamlined implementation and realization of envisaged benefits. Monitor project progress against plan and resolve critical bottlenecks by providing technical inputs on complex issues and coordinating with key stakeholders. Ensure adherence of quality, regulatory and safety norms. All changes to be routed through appropriate change process. Tracking & Monitoring: Monitor and ensure that teams are actively applying the Lean Process and Six-Sigma in a correct manner to solve chronic problems, remove waste and to plan new products. Monitor the progress and ensure that the manufacturing facility is aligning projects with the business objectives and strategic plans. Evaluate and analyse best practices in the industry for suitability in the organizations context. Performance Management: As a Six Sigma coach, provide expert advice and assistance to Green Belts. Train, support, develop and coach plant leadership teams from statistics to change management and to process design strategies. Train & monitor the performance of team members to ensure efficiency in service operations and meeting of individual, team and organization targets. Lead development of a set of supporting systems such as training courses and workshops and plan a detailed schedule and create a high performing team. Drive a culture of excellence across the team & technical functions by ensuring capability building and driving a focus on key methodologies to position the organizations manufacturing capability as a core competency and competitive advantage in the market. Preferred candidate profile : Minimum Education Qualification: BE / B Tech (Chemical) Certifications / Skills Required: Lean Six Sigma Green Belt Certified Minimum Experience (in Years) : At least 10-15 years of extensive experience in Operational Excellence roles in a large manufacturing multinational unit with best practices Deep understanding of Continuous improvement methodologies (Lean / Six Sigma / Kaizen / Operational Excellence OpEx). Well versed in process data analysis using Data analytic and visualization tools. Interested candidates please share your updated profiles on shweta.chaskar@cohizon.com Regards, Shweta Cohizon Life Sciences Ltd.

WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the worlds most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ Job Description: We are seeking a highly experienced and innovative Fellow to join our Physical Design (PD) Methodology team. The successful candidate will be responsible for driving advancements in PD methodologies, strategies, and tools to optimize the design and implementation of our semiconductor products. This role requires a deep understanding of physical design, EDA tools, and the ability to partner with cross-functional teams to achieve state-of-the-art design efficiency and performance. Key Responsibilities: Drive PD Methodology Innovations: Lead the development and implementation of cutting-edge physical design methodologies to enhance design efficiency, performance, and manufacturability. Strategic Planning: Develop and execute strategies that align with industry trends and company goals. Provide strategic direction for PD-related projects and initiatives. Methodology Development: Create and refine methodologies for physical design, including floorplanning, placement, routing, and timing closure. Ensure these methodologies are integrated into the design and development processes. End-to-End Design Optimization: Oversee the entire physical design process from initial concept to tape-out. Ensure design efficiency and performance are maintained throughout the product lifecycle. Cross-Functional Collaboration: Work closely with RTL design teams, verification teams, and other engineering groups to integrate physical design methodologies across all levels of the system. Vendor Engagement: Collaborate with EDA tool vendors such as Synopsys and Cadence to ensure tools meet our design requirements. Drive joint development efforts and influence tool enhancements. Tool and Flow Automation: Lead efforts in the development and optimization of EDA tools for physical design. Work with tool vendors to ensure the tools meet our design requirements. Signoff Enablement: Ensure that all physical design methodologies and processes meet signoff criteria for manufacturability and performance. Technology and Library Enablement: Work with technology and library teams to enable new technologies and libraries in the physical design flow. PPA Optimization Guidance: Provide guidance on optimizing power, performance, and area (PPA) during the physical design process. Debug and Support: Lead efforts in debugging design issues and providing support to design teams to resolve complex physical design challenges. Industry Engagement: Stay abreast of the latest advancements in physical design within the semiconductor industry. Represent the company in industry forums, conferences, and collaborations to influence and adopt best practices. Cross-Functional Leadership: Collaborate with various teams, including design, verification, software, and product management, to ensure physical design goals are met. Provide technical guidance and mentorship to team members. Innovation and Research: Foster a culture of innovation by encouraging research and experimentation in physical design techniques. Identify opportunities for patents and publications. Metrics: Define and track key performance indicators (KPIs) related to physical design efficiency and performance. Report on progress and impact to senior leadership. Qualifications Education: Ph.D. or Master's degree in Electrical Engineering, Computer Engineering, or a related field. Experience: Minimum of 20 years of experience in physical design, EDA tools, or related areas. Proven track record of driving PD methodology innovations and strategies in a leading semiconductor company. Technical Expertise: Deep understanding of physical design, EDA tools, and design optimization techniques. Proficiency in relevant tools and technologies. Publications and Patents: Demonstrated history of publications in reputable journals and conferences. Experience with filing and securing patents related to physical design and EDA tools. Leadership Skills: Strong leadership and team management skills. Ability to lead cross-functional teams and drive complex projects to successful completion. Communication: Excellent verbal and written communication skills. Ability to articulate complex technical concepts to diverse audiences. Industry Knowledge: In-depth knowledge of industry trends, standards, and best practices in physical design for semiconductors Notice Period 2 Month or less