12576 Regression Jobs - Page 12

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position Name ML Developer Taleo ID Position Level Staff Employment Type Permanent Number of Openings 1 Work Location Kochi, Chennai , Noida , Bangalore , Pune , Kolkata , TVM Position Details As part of EY GDS Assurance Digital, you will be responsible for leveraging advanced machine learning techniques to develop innovative, high-impact models and solutions that drive growth and deliver significant business value. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. This is a full-time Machine Learning Developer role, responsible for building and deploying robust machine learning models to solve real-world business problems. You will be working on the entire ML lifecycle, including data analysis, feature engineering, model training, evaluation, and deployment. Requirements (including Experience, Skills And Additional Qualifications) A bachelor’s degree (BE/BTech/MCA & MBA) in Computer Science, Engineering, Information Systems Management, Accounting, Finance or a related field with adequate industry experience. Technical Skills Requirements Develop and implement machine learning models, including regression, classification (e.g., XGBoost, Random Forest), and clustering techniques. Conduct exploratory data analysis (EDA) to uncover insights and trends within data sets. Apply dimension reduction techniques to improve model performance and interpretability. Utilize statistical models to design and implement effective business solutions. Evaluate and validate models to ensure robustness and reliability. Should have solid background in Python Familiarity with Time Series Forecasting. Basic experience with cloud platforms such as AWS, Azure, or GCP. Exposure to ML Ops tools and practices (e.g., MLflow, Airflow, Docker) is a plus Additional skill requirements: Proficient at quickly understanding complex machine learning concepts and utilizing technology for tasks such as data modeling, analysis, visualization, and process automation. Skilled in selecting and applying the most suitable standards, methods, tools, and frameworks for specific ML tasks and use cases. Capable of collaborating effectively within cross-functional teams, while also being able to work independently on complex ML projects. Demonstrates a strong analytical mindset and systematic approach to solving machine learning challenges. Excellent communication skills, able to present complex technical concepts clearly to both technical and non-technical audiences. What we look for A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you About EY As a global leader in assurance, tax, transaction, and advisory services, we’re using the finance products, expertise, and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

About This Role Are you interested in building innovative technology that crafts the financial markets? Do you like working at the speed of a startup, and solving some of the world’s most exciting challenges? Do you want to work with, and learn from, hands-on leaders in technology and finance? At BlackRock, we are looking for Software Engineers who like to innovate and solve sophisticated problems. We recognize that strength comes from diversity, and will embrace your outstanding skills, curiosity, and passion while giving you the opportunity to grow technically and as an individual. We invest and protect over $9 trillion (USD) of assets and have an extraordinary responsibility to our clients all over the world. Our technology empowers millions of investors to save for retirement, pay for college, buy a home, and improve their financial well-being. Being a technologist at BlackRock means you get the best of both worlds: working for one of the most sophisticated financial companies and being part of a software development team responsible for next generation technology and solutions. What are Aladdin and Aladdin Engineering? You will be working on BlackRock's investment operating system called Aladdin. Aladdin is used both internally within BlackRock and externally by many financial institutions. Aladdin combines sophisticated risk analytics with comprehensive portfolio management, trading, and operations tools on a single platform to power informed decision-making and create a connective tissue for thousands of users investing worldwide. Our development teams reside inside the Aladdin Engineering group. We collaboratively build the next generation of technology that changes the way information, people, and technology intersect for global investment firms. We build and package tools that manage trillions in assets and supports millions of financial instruments. We perform risk calculations and process millions of transactions for thousands of users every day worldwide! Being a Member Of Aladdin Engineering, You Will Be Tenacious: Work in a fast paced and highly complex environment Creative thinker: Analyse multiple solutions and deploy technologies in a flexible way. Great teammate: Think and work collaboratively and communicate effectively. Fast learner: Pick up new concepts and apply them quickly. Responsibilities Include Collaborate with team members in a multi-office, multi-country environment. Deliver high efficiency, high availability, concurrent and fault tolerant software systems. Significantly contribute to development of Aladdin’s global, multi-asset trading platform. Work with product management and business users to define the roadmap for the product. Design and develop innovative solutions to complex problems, identifying issues and roadblocks. Apply validated quality software engineering practices through all phases of development. Ensure resilience and stability through quality code reviews, unit, regression and user acceptance testing, dev ops and level two production support. Be a leader with vision and a partner in brainstorming solutions for team productivity, efficiency, guiding and motivating others. Drive a strong culture by bringing principles of inclusion and diversity to the team and setting the tone through specific recruiting, management actions and employee engagement. For VP Level: In addition to the above, a VP level candidate should be able to lead individual projects priorities, deadlines and deliverables. Qualifications B.S. / M.S. degree in Computer Science, Engineering, or a related subject area B.E./ B.TECH./ MCA or any other relevant engineering degree from a reputed university. For VP Level: 8+ years of proven experience Skills And Experience A proven foundation in C++ and related technologies in a multiprocess distributed UNIX environment Knowledge of Java, Perl, and/or Python are a plus Track record building high quality software with design-focused and test-driven approaches Experience with working with an extensive legacy code base (e.g., C++ 98) Understanding of performance issues (memory, processing time, I/O, etc.) Understanding of relational databases is a must. Great analytical, problem-solving and communication skills Some experience or a real interest in finance, investment processes, and/or an ability to translate business problems into technical solutions. For VP Level: In addition to the above, a VP level candidate should have experience leading development teams, projects or being responsible for the design and technical quality of a significant application, system, or component. Ability to form positive relationships with partnering teams, sponsors, and user groups. Nice To Have And Opportunities To Learn Expertise in building distributed applications using SQL and/or NOSQL technologies like MS SQL, Sybase, Cassandra or Redis A real-world practitioner of applying cloud-native design patterns to event-driven microservice architectures. Exposure to high scale distributed technology like Kafka, Mongo, Ignite, Redis Exposure to building microservices and APIs ideally with REST, Kafka or gRPC Experience with optimization, algorithms or related quantitative processes. Experience with Cloud platforms like Microsoft Azure, AWS, Google Cloud Experience with cloud deployment technology (Docker, Ansible, Terraform, etc.) is also a plus. Experience with DevOps and tools like Azure DevOps Experience with AI-related projects/products or experience working in an AI research environment. Exposure to Docker, Kubernetes, and cloud services is beneficial. A degree, certifications or opensource track record that shows you have a mastery of software engineering principles. Our Benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position Name ML Developer Taleo ID Position Level Staff Employment Type Permanent Number of Openings 1 Work Location Kochi, Chennai , Noida , Bangalore , Pune , Kolkata , TVM Position Details As part of EY GDS Assurance Digital, you will be responsible for leveraging advanced machine learning techniques to develop innovative, high-impact models and solutions that drive growth and deliver significant business value. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. This is a full-time Machine Learning Developer role, responsible for building and deploying robust machine learning models to solve real-world business problems. You will be working on the entire ML lifecycle, including data analysis, feature engineering, model training, evaluation, and deployment. Requirements (including Experience, Skills And Additional Qualifications) A bachelor’s degree (BE/BTech/MCA & MBA) in Computer Science, Engineering, Information Systems Management, Accounting, Finance or a related field with adequate industry experience. Technical Skills Requirements Develop and implement machine learning models, including regression, classification (e.g., XGBoost, Random Forest), and clustering techniques. Conduct exploratory data analysis (EDA) to uncover insights and trends within data sets. Apply dimension reduction techniques to improve model performance and interpretability. Utilize statistical models to design and implement effective business solutions. Evaluate and validate models to ensure robustness and reliability. Should have solid background in Python Familiarity with Time Series Forecasting. Basic experience with cloud platforms such as AWS, Azure, or GCP. Exposure to ML Ops tools and practices (e.g., MLflow, Airflow, Docker) is a plus Additional skill requirements: Proficient at quickly understanding complex machine learning concepts and utilizing technology for tasks such as data modeling, analysis, visualization, and process automation. Skilled in selecting and applying the most suitable standards, methods, tools, and frameworks for specific ML tasks and use cases. Capable of collaborating effectively within cross-functional teams, while also being able to work independently on complex ML projects. Demonstrates a strong analytical mindset and systematic approach to solving machine learning challenges. Excellent communication skills, able to present complex technical concepts clearly to both technical and non-technical audiences. What we look for A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you About EY As a global leader in assurance, tax, transaction, and advisory services, we’re using the finance products, expertise, and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position Name ML Developer Taleo ID Position Level Staff Employment Type Permanent Number of Openings 1 Work Location Kochi, Chennai , Noida , Bangalore , Pune , Kolkata , TVM Position Details As part of EY GDS Assurance Digital, you will be responsible for leveraging advanced machine learning techniques to develop innovative, high-impact models and solutions that drive growth and deliver significant business value. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. This is a full-time Machine Learning Developer role, responsible for building and deploying robust machine learning models to solve real-world business problems. You will be working on the entire ML lifecycle, including data analysis, feature engineering, model training, evaluation, and deployment. Requirements (including Experience, Skills And Additional Qualifications) A bachelor’s degree (BE/BTech/MCA & MBA) in Computer Science, Engineering, Information Systems Management, Accounting, Finance or a related field with adequate industry experience. Technical Skills Requirements Develop and implement machine learning models, including regression, classification (e.g., XGBoost, Random Forest), and clustering techniques. Conduct exploratory data analysis (EDA) to uncover insights and trends within data sets. Apply dimension reduction techniques to improve model performance and interpretability. Utilize statistical models to design and implement effective business solutions. Evaluate and validate models to ensure robustness and reliability. Should have solid background in Python Familiarity with Time Series Forecasting. Basic experience with cloud platforms such as AWS, Azure, or GCP. Exposure to ML Ops tools and practices (e.g., MLflow, Airflow, Docker) is a plus Additional skill requirements: Proficient at quickly understanding complex machine learning concepts and utilizing technology for tasks such as data modeling, analysis, visualization, and process automation. Skilled in selecting and applying the most suitable standards, methods, tools, and frameworks for specific ML tasks and use cases. Capable of collaborating effectively within cross-functional teams, while also being able to work independently on complex ML projects. Demonstrates a strong analytical mindset and systematic approach to solving machine learning challenges. Excellent communication skills, able to present complex technical concepts clearly to both technical and non-technical audiences. What we look for A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you About EY As a global leader in assurance, tax, transaction, and advisory services, we’re using the finance products, expertise, and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

About This Role As a Workday Functional Architect, you will play a pivotal role in designing and implementing Workday solutions that meet the business requirements of Human Resources and employees at BlackRock. In this role you will have the opportunity to continue to develop expertise in configuring, testing and releasing Workday’s functionality under Human Capital Management (HCM) Primary Responsibilities Translate desired business outcomes into functional design solutions across HCM with a focus on Learning and Talent . Research, prototype and test new and /or enhanced functionality Perform Workday configuration for enhancement and change requests Lead and coordinate all testing activities, in partnership with stakeholders Partner with stakeholders to develop and support the execution of change management and training plans Develop and maintain solution design, testing results and resource documents for both HR Technology team members and other end users (HR and non-HR) Actively participate in product enhancement projects, product release cycles and regression testing Qualifications Bachelor's or Master's degree with 5 to 8 years of professional experience, preferably in Human Resources and or technology Minimum 3 years' experience configuring and testing Workday solutions across HCM with exposure to multiple modules like Learning, Talent, TA, etc. Good to have experience configuring solutions for Time & Absence and Compensation & Benefits. Preferred Knowledge, Skills And Abilities Strong intellectual curiosity and enjoys problem solving Strong oral and written communication skills Strong ability to translate complex technical details into user-friendly, consumable concepts Thrives in fast –paced and collaborative environment Ability to manage complex work within tight deadlines Strong analytical skills with a keen attention to detail Ability to manipulate and validate large batches of data in Excel Good understanding of HR services and processes Experience supporting and/or maintaining one or more HR systems Experience working with geographically distributed teams (e.g. working with global teams) Experience in a professional services environment, financial services or consulting experience a plus. Our Benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.

As an Agile Quality Assurance person, you will be doing the system study, prepare test cases and execute tests with automated test tools; criticize the developments and report bugs to the development team; audit browser and device apps for quality. Experience 3 - 4+ years Responsibilities: Develop and execute test plans, test cases, and test scripts for software applications using various testing techniques including automation, manual, regression, and performance testing. Collaborate with cross-functional teams including development, product management, and customer support to ensure that software products meet high-quality standards and customer needs. Develop and maintain test automation frameworks using tools such as Selenium, Jenkins, and other open-source automation tools. Design and maintain test environments, including setting up test data, configuring hardware and software, and maintaining the stability and security of the test environment. Report and track software defects using bug tracking tools and ensure that defects are resolved in a timely manner. Analyse and communicate test results and test progress to stakeholders including development teams, product management, and senior leadership. Continuously improve the testing process by implementing best practices, tools, and techniques to improve test coverage and efficiency. Participate in the Agile development process including Sprint planning, retrospectives, and daily stand-ups. Required Skills: Bachelor’s degree in computer science, Software Engineering or related field. 3+ years of experience in software testing and quality assurance. Experience with automation testing tools such as Selenium, Jenkins, JMeter, and other open-source automation tools. Familiarity with software development methodologies, including Agile/Scrum and Waterfall. Strong understanding of software testing principles, methodologies, and techniques. Strong analytical skills with the ability to analyse and interpret complex data. Excellent communication and interpersonal skills with the ability to work collaboratively with cross-functional teams. Strong problem-solving skills and attention to detail. Experience with version control tools such as Git. Knowledge of scripting languages such as Python or Ruby is a plus.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position Name ML Developer Taleo ID Position Level Staff Employment Type Permanent Number of Openings 1 Work Location Kochi, Chennai , Noida , Bangalore , Pune , Kolkata , TVM Position Details As part of EY GDS Assurance Digital, you will be responsible for leveraging advanced machine learning techniques to develop innovative, high-impact models and solutions that drive growth and deliver significant business value. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. This is a full-time Machine Learning Developer role, responsible for building and deploying robust machine learning models to solve real-world business problems. You will be working on the entire ML lifecycle, including data analysis, feature engineering, model training, evaluation, and deployment. Requirements (including Experience, Skills And Additional Qualifications) A bachelor’s degree (BE/BTech/MCA & MBA) in Computer Science, Engineering, Information Systems Management, Accounting, Finance or a related field with adequate industry experience. Technical Skills Requirements Develop and implement machine learning models, including regression, classification (e.g., XGBoost, Random Forest), and clustering techniques. Conduct exploratory data analysis (EDA) to uncover insights and trends within data sets. Apply dimension reduction techniques to improve model performance and interpretability. Utilize statistical models to design and implement effective business solutions. Evaluate and validate models to ensure robustness and reliability. Should have solid background in Python Familiarity with Time Series Forecasting. Basic experience with cloud platforms such as AWS, Azure, or GCP. Exposure to ML Ops tools and practices (e.g., MLflow, Airflow, Docker) is a plus Additional skill requirements: Proficient at quickly understanding complex machine learning concepts and utilizing technology for tasks such as data modeling, analysis, visualization, and process automation. Skilled in selecting and applying the most suitable standards, methods, tools, and frameworks for specific ML tasks and use cases. Capable of collaborating effectively within cross-functional teams, while also being able to work independently on complex ML projects. Demonstrates a strong analytical mindset and systematic approach to solving machine learning challenges. Excellent communication skills, able to present complex technical concepts clearly to both technical and non-technical audiences. What we look for A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you About EY As a global leader in assurance, tax, transaction, and advisory services, we’re using the finance products, expertise, and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At Citi we’re not just building technology, we’re building the future of banking. Encompassing a broad range of specialties, roles, and cultures, our teams are creating innovations used across the globe. Citi is constantly growing and progressing through our technology, with laser focused on evolving the ways of doing things. As one of the world’s most global banks we’re changing how the world does business Shape your Career with Citi We’re currently looking for a high caliber professional to join our team as 25883567 Officer- ETL Automation tester -QA - C10 -Hybrid- PUNE based in Pune/Chennai, India. Being part of our team means that we’ll provide you with the resources to meet your unique needs, empower you to make healthy decision and manage your financial well-being to help plan for your future. For instance: We provide programs and services for your physical and mental well-being including access to telehealth options, health advocates, confidential counseling and more. Coverage varies by country. We empower our employees to manage their financial well-being and help them plan for the future. We provide access to an array of learning and development resources to help broaden and deepen your skills and knowledge as your career progresses. The Testing Analyst is a developing professional role. Applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data. Identifies policy gaps and formulates policies. Interprets data and makes recommendations. Researches and interprets factual information. Identifies inconsistencies in data or results, defines business issues and formulates recommendations on policies, procedures or practices. Integrates established disciplinary knowledge within own specialty area with basic understanding of related industry practices. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Develops working knowledge of industry practices and standards. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own team. Candidate is expected to Build Data Pipelines: Extract data from various sources (like databases and data lakes), clean and transform it, and load it into target systems Testing and Validation: Develop automated tests to ensure the data pipelines are working correctly and the data is accurate. This is like quality control, making sure everything meets the bank's standards Work with Hive, HDFS, and Oracle data sources to extract, transform, and load large-scale datasets Leverage AWS services such as S3, Lambda, and Airflow for data ingestion, event-driven processing, and orchestration Create reusable frameworks, libraries, and templates to accelerate automation and testing of ETL jobs Participate in code reviews, CI/CD pipelines , and maintain best practices in Spark and cloud-native development Ensures tooling can be run in CICD providing real-time on demand test execution shortening the feedback loop to fully support Handsfree execution Regression , Integration, Sanity testing, Regression automated suites, reports issues – provide solutions and ensures timely completion Own and drive automation in Data and Analytics Team to achieve 90% automation in Data, ETL space. Design and develop integrated portal to consolidate utilities and cater to user needs. Supports initiatives related to automation on Data & Analytics testing requirements for process and product rollout into production. Specialists who can work with technology team to design and implement appropriate automation scripts/plans for an application testing, meeting required KPI and automation effectiveness. Ensures new utilities are documented and transitioned to testers for execution and supports for troubleshooting in case required. Monitors and reviews code check-ins from peers and helps maintain project repository. Ability to work independently as well as collaborate within groups on various projects assigned. Ability to work in a fast-paced, dynamic environment and manage multiple priorities effectively. Experience and understanding of Wealth domain specifically in private bank(banking) , lending services and related Tech applications.Supports and contributes to automated test data generation and sufficiency. Successful candidate ideally would have following skills and exposure: 2 - 4 years of experience on automation testing across UI Experience in Automation ETL Testing , testing by using SQL queries. Hands on experience on Selenium BDD Cucumber using Java, Python Extensive knowledge on developing and maintaining automation frameworks, AI/ ML related solutions. Experience on automating BI reports e.g., Tableau dashboards and views validation. Data analytics and BI reports in the Financial Service industry Hands on experience in Python for developing utilities for Data Analysis using Pandas, NumPy etc. Exposure and some experience on AI related solutions, ML which can help automate faster. Experience with mobile testing using perfecto, API Testing-SoapUI, Postman/Rest Assured will be added advantage. Detailed knowledge data flows in relational database and Bigdata systems Strong knowledge of Oracle SQL and HiveQL and understanding of ETL/Data Testing. Experience with CI/CD tools like Jenkins. Proficiency in working on Cloudera Hadoop ecosystem (HDFS, Hive, YARN) Hands-on experience with ETL automation and validation framework. Solid understanding of AWS services like S3, Lambda, EKS, Airflow, and Strong problem-solving and debugging skills Excellent communication and collaboration abilities to lead and mentor a large techno-functional team across different geographical locations Strong Acumen and presentation skills. Able to work in an Agile environment and deliver results independently Education: Bachelor’s/University degree or equivalent experience ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Technology Quality ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position Name ML Developer Taleo ID Position Level Staff Employment Type Permanent Number of Openings 1 Work Location Kochi, Chennai , Noida , Bangalore , Pune , Kolkata , TVM Position Details As part of EY GDS Assurance Digital, you will be responsible for leveraging advanced machine learning techniques to develop innovative, high-impact models and solutions that drive growth and deliver significant business value. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. This is a full-time Machine Learning Developer role, responsible for building and deploying robust machine learning models to solve real-world business problems. You will be working on the entire ML lifecycle, including data analysis, feature engineering, model training, evaluation, and deployment. Requirements (including Experience, Skills And Additional Qualifications) A bachelor’s degree (BE/BTech/MCA & MBA) in Computer Science, Engineering, Information Systems Management, Accounting, Finance or a related field with adequate industry experience. Technical Skills Requirements Develop and implement machine learning models, including regression, classification (e.g., XGBoost, Random Forest), and clustering techniques. Conduct exploratory data analysis (EDA) to uncover insights and trends within data sets. Apply dimension reduction techniques to improve model performance and interpretability. Utilize statistical models to design and implement effective business solutions. Evaluate and validate models to ensure robustness and reliability. Should have solid background in Python Familiarity with Time Series Forecasting. Basic experience with cloud platforms such as AWS, Azure, or GCP. Exposure to ML Ops tools and practices (e.g., MLflow, Airflow, Docker) is a plus Additional skill requirements: Proficient at quickly understanding complex machine learning concepts and utilizing technology for tasks such as data modeling, analysis, visualization, and process automation. Skilled in selecting and applying the most suitable standards, methods, tools, and frameworks for specific ML tasks and use cases. Capable of collaborating effectively within cross-functional teams, while also being able to work independently on complex ML projects. Demonstrates a strong analytical mindset and systematic approach to solving machine learning challenges. Excellent communication skills, able to present complex technical concepts clearly to both technical and non-technical audiences. What we look for A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you About EY As a global leader in assurance, tax, transaction, and advisory services, we’re using the finance products, expertise, and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position Name ML Developer Taleo ID Position Level Staff Employment Type Permanent Number of Openings 1 Work Location Kochi, Chennai , Noida , Bangalore , Pune , Kolkata , TVM Position Details As part of EY GDS Assurance Digital, you will be responsible for leveraging advanced machine learning techniques to develop innovative, high-impact models and solutions that drive growth and deliver significant business value. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. This is a full-time Machine Learning Developer role, responsible for building and deploying robust machine learning models to solve real-world business problems. You will be working on the entire ML lifecycle, including data analysis, feature engineering, model training, evaluation, and deployment. Requirements (including Experience, Skills And Additional Qualifications) A bachelor’s degree (BE/BTech/MCA & MBA) in Computer Science, Engineering, Information Systems Management, Accounting, Finance or a related field with adequate industry experience. Technical Skills Requirements Develop and implement machine learning models, including regression, classification (e.g., XGBoost, Random Forest), and clustering techniques. Conduct exploratory data analysis (EDA) to uncover insights and trends within data sets. Apply dimension reduction techniques to improve model performance and interpretability. Utilize statistical models to design and implement effective business solutions. Evaluate and validate models to ensure robustness and reliability. Should have solid background in Python Familiarity with Time Series Forecasting. Basic experience with cloud platforms such as AWS, Azure, or GCP. Exposure to ML Ops tools and practices (e.g., MLflow, Airflow, Docker) is a plus Additional skill requirements: Proficient at quickly understanding complex machine learning concepts and utilizing technology for tasks such as data modeling, analysis, visualization, and process automation. Skilled in selecting and applying the most suitable standards, methods, tools, and frameworks for specific ML tasks and use cases. Capable of collaborating effectively within cross-functional teams, while also being able to work independently on complex ML projects. Demonstrates a strong analytical mindset and systematic approach to solving machine learning challenges. Excellent communication skills, able to present complex technical concepts clearly to both technical and non-technical audiences. What we look for A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you About EY As a global leader in assurance, tax, transaction, and advisory services, we’re using the finance products, expertise, and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Job Overview: Responsible for leading data science initiatives, developing advanced analytics models and ensuring successful execution of data-driven projects for clients in the retail. Will work closely with key client stakeholders to understand their business challenges and leverage data science to deliver actionable insights that drive business growth and efficiency.Lead the design, development and implementation of advanced analytics models. Including predictive and prescriptive models for retail clients.Should be able to convert mathematical/ statistics-based research into sustainable data science solutionsCandidate should be able to think from first principles to define & evangelize solutions for any client business problemLeverage deep knowledge of the retail to develop data-driven solutions that address industry-specific challenges. Apply AI/ML statistical methods to solve complex business problems and determine new opportunities for clients.Ensure project delivery of high-quality, actionable insights that drive business decisions and outcomes.Ensure end-to-end lifecycle (scoping to Delivery) of data science projects.Collaborate with cross-functional teams to ensure seamless project execution.Manage timelines, resources, and deliverables to meet client expectations and project goals.Drive innovation by exploring new data science techniques, tools, and technologies that can enhance the value delivered to clients.Strong hands-on experience with data science tools and technologies (e.g., Python, R, SQL, machine learning frameworks).Hand-on experience with a range of data science models including regression, classification, clustering, decision tree, random forest, support vector machine, naïve Bayes, GBM, XGBoost, multiple linear regression, logistic regression, and ARIMA/ARIMAX.Should be competent in Python (Pandas, NumPy, scikit-learn etc.), possess high levels of analytical skills and have experience in the creation and/or evaluation of predictive models.Preferred experience in areas such as time series analysis, market mix modelling, attribution modelling, churn modelling, market basket analysis, etcGood communication and project management skills. Should be able to communicate effectively to a wide range of audiences, both technical and business. Adept in creating Presentations, reports etc to present theanalysis findings to key client stakeholders. Strong team management skills with a passion for mentoring and developing talent. Qualifications BTech/Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1-2 institutions Or BE/B-Tech, MCA or MBA

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Brief Job DescriptionAs a key team member, you would be actively involved in setting up, running and managing various Pricing and Promotion projects with yours indebt Consumer industry knowledge and Statistical modelling experience. Using Python, Azure, SQL , Advance excel or other require technical skills you will be actively involved in building and developing attribution models, helping the business utilize and optimize all marketing data for more efficient and effective targeting. You would identify and measure the Effectiveness of marketing investments. This will be for both the online and offline side of the business to understand advertisement, promotion and marketing activities ROI and effectiveness. You will be seen as a strong voice of influence and presenting your projects to clients, delivering insights & recommendations to senior management as well as non-technical audiences.Work Experience5 years of experience in Pricing and Promotion Analysis, Advanced Analytics, Market mix modeling, consulting in CPG & FMCG Domain. Pricing analysts present their findings to executives, marketing teams, and sales personnel through weekly or monthly meetings. This aspect of the role requires pricing analysts to translate complex data into actionable strategies and techniques to drive sales and enhance marketing efforts. Grow total gross margin dollars by identifying pricing actions that encourage higher sale values, conversion rates, inelasticity, margin rates, and customer satisfaction Drive Optimization activities of price and promo investments, to achieve maximum ROI. Machine Learning (ML), DevOps, Azure Data bricks experience/understanding Statistical Modelling - Pooled Regression, Time Series Modelling, Clustering, Hypothesis Testing Data Science and Machine Learning technical knowledge (Decision Tree, Random Forecast, KNN, SVM) Expert in Python, with knowledge of at least one Python web framework {such as Django, Flask, etc depending on your technology stack} Expertized in Exploratory Data Analysis, Data Cleaning, Feature Engineering, Data Pre-processing. Python coding with knowledge of back-end Algorithms/Documentation and Statistical Techniques MMM (Marketing Mix Modelling) subject matter expert, create Budget simulator, skilled in building end-to-end Mix Marketing Models capability in team Robust knowledge on Consumer Industry Brands & Category, knowledge on FMCG / CPG data processing (with sales / marketing / commercial operations teams). Able to source data from external syndicated data provider’s portals Identifying new ways to leverage data (internal and external data sets - sales, digital, advertisement, media, sales force, social) to generate business insights Demonstrate technical functional expertise and be seen as an expert and partner by the client and internal stakeholders Fluent verbal communication and good written communication, communicate statistical outputs in a business language Provide training and support for internal employees Well-developed conceptual, analytical, strategic thinking and problem solving skills. High sense of ownership. Proven ability to handle multiple projects while meeting deadlines and documenting progress towards those deadlines Provide support to global markets and display flexibilityShift Time: 8:00 AM to 5:00 PM IST Qualifications Qualificationo M.Sc. Statisticso M.Sc. Operational Researcho M.Sc. Mathematicso B. Sc. Stats + MBAo B.Tech

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office. Who We Are Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description Job Family Definition: Set and maintain quality standards for company products through the use of systematic processes. Develops, modifies, and executes software test strategies, plans and suites. Analyzes and writes test standards and procedures. Maintains documentation of test results to assist in debugging and modification of software. Analyzes test results to ensure existing functionality and recommends corrective action. May develop tools and environments to automate test execution. Consults with development engineers in resolution of problems. Management Level Definition Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters. Responsibilities What you'll do: QA validation of Web GUI and REST API features in Mist Cloud. Understand the Mist UI and API architecture to be able to improve the current design and make the system more robust Create defect and enhancement tickets in the ticket tracking system, and work on them closely with Engineering team Support regular releases of new code to customer cloud instances through staging smoke test and production sanity test Execute and automate regression test cases Recreate customer issues and work closely with Engineering Teams to drive resolution Work closely with Customer Success team to review the customer reported defects and enhance the test coverage Timely escalation of critical issues Create Technical documentation for CS and QA teams in Confluence Demonstrate ability to manage multiple projects and work calmly under pressure Demonstrate ability to work independently and to function in a team environment Minimum Qualifications What you need to bring: 0-1 years of related experience BE/ME/MS in CS or related discipline Strong communication skills, especially written Ability to work collaboratively and solve problems Ability to communicate project status and identify risk Strong interpersonal skills Strong programming fundamentals Proficiency in programming languages such as Python Preferred Qualifications Hands on experience with basic UI and API troubleshooting Demonstrated track record of taking initiative and being resourceful Experience writing regression test cases Basic knowledge of JSON and Django RESTful API Prior experience with automation using Selenium Prior experience with automation using Pytest Comfortable working with different teams in a fast-paced environment Knowledge in networking related technologies Additional Skills Accountability, Accountability, Action Planning, Active Learning (Inactive), Active Listening, Agile Methodology, Agile Scrum Development, Analytical Thinking, Bias, Coaching, Creativity, Critical Thinking, Cross-Functional Teamwork, Data Analysis Management, Data Collection Management (Inactive), Data Controls, Design, Design Thinking, Empathy, Follow-Through, Group Problem Solving, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity {+ 5 more} What We Can Offer You Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #india #networking Job Engineering Job Level TCP_01 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

About Us Camascope is a fast-growing technology company focused on empowering the care and medication sector with technology. We are a team of talented, caring, and ambitious individuals who are committed to making a difference in care. Our ecosystem connects pharmacies, care homes, and doctors to improve the lives of many. There has never been a better time to join Camascope. Our team is growing and our product is reaching more users and partners every day. You will join a collaborative and passionate team. We love solving real problems and are committed to building the highest-quality solutions. If you are eager to make a meaningful impact in healthcare and thrive in a fast-paced startup environment, Camascope will be the perfect place for you. What You Will Work On As a QA Engineer at Camascope you will be an integral part of the team that works to develop, enhance and expand out QA test coverage at scale across our core products. You will collaborate with the cross-functional teams to deliver high-quality testing and tooling as we continue to improve and add features to our successful care and medication products. We are looking for experienced and adaptable QA Engineers who can understand the product, asses use cases and develop test cases for both manual and automated testing. Work closely with stakeholders to understand requirements an improve test coverage Responsibilities Design, develop, and maintain test cases for both manual and automated testing. Perform functional, regression, integration, UI, and exploratory testing to identify defects and ensure high-quality software delivery. Create and maintain automated test scripts Identify, document, and track defects using JIRA, collaborating closely with developers to resolve issues. Troubleshoot and debug complex issues, identifying root causes Work in an agile team-oriented environment, collaborating with other Engineers, Designers and Product Managers to achieve product outcomes. Keep our customers and care home patients at the heart of everything we build Requirements Bachelor's degree in Computer Science, Software Engineering, or similar. 3 to 5 years of industry experience in software testing and experience with Automation work. Solid experience in manual testing and validation Strong experience with Python, JavaScript Experience with test automation frameworks like Playwright, Appium or similar Knowledge of BrowserStack, Cucumber Strong troubleshooting and debugging skills with a fix forward and learn mindset Capable and comfortable working with Agile/Scrum methodologies Bonus Points For Having worked in Health Care or Pharmacy tech previously

Sprinklr is a leading enterprise software company for all customer-facing functions. With advanced AI, Sprinklr's unified customer experience management (Unified-CXM) platform helps companies deliver human experiences to every customer, every time, across any modern channel. Headquartered in New York City with employees around the world, Sprinklr works with more than 1,000 of the world’s most valuable enterprises — global brands like Microsoft, P&G, Samsung and more than 50% of the Fortune 100. Learn more about our culture and how we make our employees happier through The Sprinklr Way. Job Description What will you do: Respond to customer inquiries/ reported bugs received via tickets to ensure their continued access & usage of the Sprinklr platform. Troubleshoot technical issues to provide timely & accurate resolution to the customer/any other stakeholder raised issues, bugs, concerns etc. Identify platform gaps/issues, while investigating and analyzing customer-reported issues to identify the root cause and provide effective solutions. This may involve debugging software, examining logs, or replicating problems in a controlled environment. Ensure quality resolution to avoid escalations from customers and reopening of issue tickets. Assume responsibility for developing detailed knowledge about specific products & to stay up to date with the latest releases, new features etc. Collaborate with cross-functional teams, including developers, quality assurance engineers, and product managers, to resolve complex issues and provide feedback for product improvement. Escalate critical issues to cross functional teams to ensure quick resolution and coordinate with the product development team on bug fixes. Capturing development areas for product improvement and drive interlocks with product managers and engineering Ensure that the customers/ ticket requestors are educated, and understand the solution provided in the ticket if the issue is longstanding or needs explanation or would benefit the customer experience. Create and maintain detailed documentation, such as knowledge base articles, FAQs, and troubleshooting guides, to assist customers and support colleagues in resolving common issues efficiently. Conduct testing and quality assurance activities to identify and report product defects or potential areas for improvement. This may involve participating in beta testing programs or performing regression tests after bug fixes or product updates. Analyse support processes, identifying areas for improvement, and implementing solutions to enhance the overall customer experience and optimize support operations. Assist Customers to seamless use our platform, while meeting all requirements and fulfilling expectations regarding the ticket resolution. Be at the forefront in case of customer escalation, if any, and do RCA, and ensure customer sentiment is maintained positively. Share learning with the team and take corrective actions as deemed necessary. Ensure that the SLAs, ticket resolution times are met on time, while multitasking on different tickets and coordinating with Account team/Customer/Engineering team What makes you qualified? 0-5 years of experience in enterprise software debugging, engineering & support operations processes. Min 1+ years of experience in CCaaS solution/Contact Center Software Experience like Genesys, Avaya etc. Knowledge about CCaaS, CPaaS, Voice/ telephony infrastructure etc is a big add-on] Excellent written and verbal communication skills Strong technical background with advanced computer skills/ Strong analytical and problem-solving skills Ability to work independently and as a member of a team Ability to work effectively to meet the SLAs and juggle several tickets/priorities simultaneously Passion for solving customer concerns and commitment to client delight A drive to dig into the details of a system or process to solve customer problems. Zeal to learn and constantly upgrade skills in a fast-changing work environment. Ability to think on your feet and remain calm under pressure. Self-motivated, takes initiative, assumes ownership. Ability to work in a highly collaborative and fast-paced environment. Strong teamwork - willingness and ability to get help from team members when required, and the good judgment to know when to seek help. Experience in Web technologies, CRM or SaaS platforms and/or digital marketing experience in social platforms. Experience coding or scripting in one or more of JavaScript, Python, Java, Node. Understanding of data storage technologies/databases. Ex- MongoDB, MySQL, etc. Understand & excel in deciphering technical aspects like – Graylogs, Kibana, API Browser, Query Executor, Restricted Curls, Runner Logs Why You'll Love Sprinklr: We're committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter. At Sprinklr, we passionately, genuinely care. For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world. For more information on Sprinklr Benefits around the world, head to https://sprinklrbenefits.com/ to browse our country-specific benefits guides. We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier. Our vision is to be the world’s most loved enterprise software company, ever. We believe in our product: Sprinklr was built from the ground up to enable a brand’s digital transformation. Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world. At Sprinklr, we have many of the world's largest brands as our clients, and our employees have the opportunity to work closely alongside them. We invest in our people: At Sprinklr, we believe every human has the potential to be amazing. We empower each Sprinklrite in the journey toward achieving their personal and professional best. For wellbeing, this includes daily meditation breaks and virtual fitness. We have continuous learning opportunities available with LinkedIn Learning and more. EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we’re more innovative, creative, and successful. Sprinklr is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. See also Sprinklr’s EEO Policy and EEO is the Law.

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Job Description: We are looking for a meticulous and experienced BI Reporting QA professional to lead the team and ensure the accuracy and reliability of our Business Intelligence (BI) reports and data visualizations. The BI Reporting QA plays a critical role in validating and verifying the quality of reports and dashboards, ensuring they provide dependable insights for decision-making. Responsibilities: Design and develop QA strategy for BI by identifying all the relevant tests and validations. Develop and execute comprehensive test plans and test cases for BI reports, dashboards, and data visualizations to identify defects and discrepancies. Verify data accuracy by comparing data sources to report outputs, identifying inconsistencies, anomalies, and data quality issues. Evaluate the performance and responsiveness of reports and dashboards, ensuring they load efficiently and meet performance expectations. Perform regression testing to confirm that report modifications or updates do not introduce new issues or affect existing functionalities. Collaborate with end-users and stakeholders to conduct UAT and ensure that reports meet business requirements and user expectations. Document and track defects and issues, working closely with BI developers to ensure timely resolution. Create and maintain documentation of test cases, results, and validation procedures for reference and reporting. Ensure that BI reports adhere to data governance principles, including data accuracy, data quality, and data security. Manage and maintain test environments, including data sets and configurations, to support effective testing. Required Skills: Proven experience in Power BI reporting quality assurance Proficiency in designing and writing SQL statements for data querying and QA validation Travel industry experience is essential Strong understanding of BI reporting tools and platforms. Proficiency in data validation, data comparison, and data quality assessment. Expertise in implementation of automation in QA processes Preferences: Relevant BI reporting tool certifications (Microsoft Certified: Power BI). Relevant quality assurance certifications (e.g., ISTQB Certified Tester). Qualifications Graduate Additional Information 100% Work from Office (24 X5) No Mobile Phones/storage devices allowed within the floor Rotational shifts

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Job Overview: Responsible for leading data science initiatives, developing advanced analytics models and ensuring successful execution of data-driven projects for clients in the retail. Will work closely with key client stakeholders to understand their business challenges and leverage data science to deliver actionable insights that drive business growth and efficiency. Lead the design, development and implementation of advanced analytics models. Including predictive and prescriptive models for retail clients. Should be able to convert mathematical/ statistics-based research into sustainable data science solutions Candidate should be able to think from first principles to define & evangelize solutions for any client business problem Leverage deep knowledge of the retail to develop data-driven solutions that address industry-specific challenges. Apply AI/ML statistical methods to solve complex business problems and determine new opportunities for clients. Ensure project delivery of high-quality, actionable insights that drive business decisions and outcomes. Ensure end-to-end lifecycle (scoping to Delivery) of data science projects. Collaborate with cross-functional teams to ensure seamless project execution.Manage timelines, resources, and deliverables to meet client expectations and project goals. Drive innovation by exploring new data science techniques, tools, and technologies that can enhance the value delivered to clients. Strong hands-on experience with data science tools and technologies (e.g., Python, R, SQL, machine learning frameworks). Hand-on experience with a range of data science models including regression, classification, clustering, decision tree, random forest, support vector machine, naïve Bayes, GBM, XGBoost, multiple linear regression, logistic regression, and ARIMA/ARIMAX. Should be competent in Python (Pandas, NumPy, scikit-learn etc.), possess high levels of analytical skills and have experience in the creation and/or evaluation of predictive models. Preferred experience in areas such as time series analysis, market mix modelling, attribution modelling, churn modelling, market basket analysis, etc Good communication and project management skills. Should be able to communicate effectively to a wide range of audiences, both technical and business. Adept in creating Presentations, reports etc to present the analysis findings to key client stakeholders. Strong team management skills with a passion for mentoring and developing talent. Qualifications Educational Qualification:BTech/Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1-2 institutions Or BE/B-Tech, MCA or MBA

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position Name ML Developer Taleo ID Position Level Staff Employment Type Permanent Number of Openings 1 Work Location Kochi, Chennai , Noida , Bangalore , Pune , Kolkata , TVM Position Details As part of EY GDS Assurance Digital, you will be responsible for leveraging advanced machine learning techniques to develop innovative, high-impact models and solutions that drive growth and deliver significant business value. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. This is a full-time Machine Learning Developer role, responsible for building and deploying robust machine learning models to solve real-world business problems. You will be working on the entire ML lifecycle, including data analysis, feature engineering, model training, evaluation, and deployment. Requirements (including Experience, Skills And Additional Qualifications) A bachelor’s degree (BE/BTech/MCA & MBA) in Computer Science, Engineering, Information Systems Management, Accounting, Finance or a related field with adequate industry experience. Technical Skills Requirements Develop and implement machine learning models, including regression, classification (e.g., XGBoost, Random Forest), and clustering techniques. Conduct exploratory data analysis (EDA) to uncover insights and trends within data sets. Apply dimension reduction techniques to improve model performance and interpretability. Utilize statistical models to design and implement effective business solutions. Evaluate and validate models to ensure robustness and reliability. Should have solid background in Python Familiarity with Time Series Forecasting. Basic experience with cloud platforms such as AWS, Azure, or GCP. Exposure to ML Ops tools and practices (e.g., MLflow, Airflow, Docker) is a plus Additional skill requirements: Proficient at quickly understanding complex machine learning concepts and utilizing technology for tasks such as data modeling, analysis, visualization, and process automation. Skilled in selecting and applying the most suitable standards, methods, tools, and frameworks for specific ML tasks and use cases. Capable of collaborating effectively within cross-functional teams, while also being able to work independently on complex ML projects. Demonstrates a strong analytical mindset and systematic approach to solving machine learning challenges. Excellent communication skills, able to present complex technical concepts clearly to both technical and non-technical audiences. What we look for A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you About EY As a global leader in assurance, tax, transaction, and advisory services, we’re using the finance products, expertise, and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Mandatory Skills : Business Analyst, Documentation, Techno Functional Experience : 6 to 8 Years Notice Period : Immediate - 15 Days JD: Collect requirements from internal customers & consultancy team and documenting the scope of the requests/projects. Performing detailed analysis when necessary and documentation regarding the functional requirements and configurations of the applications and site. Document and maintain software functionality. Maintain a high level of knowledge and expertise in own subject area to apply this to situations. Gather all necessary information related to the problem, break problems into their component parts and analyze them logically to reach conclusions. Identify critical elements, inter-relationships and trends within the information to generate a range of alternative solutions to resolve the situation. Facilitate workshops and meetings. Create detailed, comprehensive and well-structured test plans and test cases. Estimate, prioritize, plan and coordinate testing activities. Perform thorough regression testing when bugs are resolved. Identifies and gathers relevant information from a range of different sources and perspectives. Identifies key issues. Able to apply a general principle and common standards to a specific situation. Identifies alternative solutions by correctly balancing short and medium-term needs. Does not make assumptions and clarifies misunderstanding. Spots gaps in data Communicate effectively and liaise between business and developers/third parties throughout the SDLC Help Developers in identify possible root causes Analyze logs and find the root cause Analyze folder structures, file structures, permission etc..,. Involve in P1 – P4 level issues to coordinate, analysis and fix the issues Monitor application health, uses logs for test case analysis Use Postman and SOAP UI to test applications

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position Name ML Developer Taleo ID Position Level Staff Employment Type Permanent Number of Openings 1 Work Location Kochi, Chennai , Noida , Bangalore , Pune , Kolkata , TVM Position Details As part of EY GDS Assurance Digital, you will be responsible for leveraging advanced machine learning techniques to develop innovative, high-impact models and solutions that drive growth and deliver significant business value. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. This is a full-time Machine Learning Developer role, responsible for building and deploying robust machine learning models to solve real-world business problems. You will be working on the entire ML lifecycle, including data analysis, feature engineering, model training, evaluation, and deployment. Requirements (including Experience, Skills And Additional Qualifications) A bachelor’s degree (BE/BTech/MCA & MBA) in Computer Science, Engineering, Information Systems Management, Accounting, Finance or a related field with adequate industry experience. Technical Skills Requirements Develop and implement machine learning models, including regression, classification (e.g., XGBoost, Random Forest), and clustering techniques. Conduct exploratory data analysis (EDA) to uncover insights and trends within data sets. Apply dimension reduction techniques to improve model performance and interpretability. Utilize statistical models to design and implement effective business solutions. Evaluate and validate models to ensure robustness and reliability. Should have solid background in Python Familiarity with Time Series Forecasting. Basic experience with cloud platforms such as AWS, Azure, or GCP. Exposure to ML Ops tools and practices (e.g., MLflow, Airflow, Docker) is a plus Additional skill requirements: Proficient at quickly understanding complex machine learning concepts and utilizing technology for tasks such as data modeling, analysis, visualization, and process automation. Skilled in selecting and applying the most suitable standards, methods, tools, and frameworks for specific ML tasks and use cases. Capable of collaborating effectively within cross-functional teams, while also being able to work independently on complex ML projects. Demonstrates a strong analytical mindset and systematic approach to solving machine learning challenges. Excellent communication skills, able to present complex technical concepts clearly to both technical and non-technical audiences. What we look for A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you About EY As a global leader in assurance, tax, transaction, and advisory services, we’re using the finance products, expertise, and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

A legacy of excellence, driving innovation and personalized service to create exceptional customer experiences. About H.E. Services: At H.E. Services vibrant tech center in Hyderabad, you’ll have the opportunity to contribute to technology innovation for Holman Automotive, a leading American fleet management and automotive services company. Our goal is to continue investing in people, processes, and facilities to ensure expansion in a way that allows us to support our customers and develop new tech solutions. Holman has come a long way during its first 100 years in business. The automotive markets Holman serves include fleet management and leasing; vehicle fabrication and upfitting; component manufacturing and productivity solutions; powertrain distribution and logistics services; commercial and personal insurance and risk management; and retail automotive sales as one of the largest privately owned dealership groups in the United States. Join us and be part of a team that's transforming the way Holman operates, creating a more efficient, data-driven, and customer-centric future. Roles & Responsibilities: Participate in requirements gathering and test strategy and planning. Create, review and execute test cases efficiently. Define test data. Ensure that the product change meets the specification or customer expectation. Communicate and track any defects or differences in function between the program and the spec or customer expectation. Provide timely, clear and concise feedback regarding the quality results to the stake holders. Follow-up on assigned tasks for self and project team members, keep correspondence informative and timely. Test status reporting. Develop, as able, automated tests, execute and review automation results. Suggest quality improvements in the development cycle. Mentor QA testers. Be the subject matter expert for the product or project assigned. Train other tester/analysts in product features, functions and department processes. Must Have Skills: Four years’ experience in IT QA. Solid proficiency of testing tools: Azure DevOps. SQL expertise. Solid proficiency with automation tools and architecture (Tosca) Must. Data integrity testing using SQL. Solid proficiency with Web services testing. Managed test case coverage for a product or project Testing proficiency in multiple SDLC’s (Agile, Waterfall) Experience directing, mentoring others in QA team. Understanding of major testing types including system/integration, regression and Default / error testing. Relevant Work Experience & Planning: Analyze testing capacity, risk assessment, test data design Led a change in QA processes and practices Willingness to learn, to work independently or in a team. Strong analytical and problem-solving skills. Self-motivated, able to manage multiple priorities. Education: BS / BA (Computer Science) degree preferred. Communicating / Planning: Able to maintain a good working relationship with everyone. Experience dealing with conflict, responsibly, timely and honestly. Proficient in verbal and written English. Excellent communication skills

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Job Description As the senior data scientist, your role involves spearheading the development and execution of data-driven solutions for clients. Collaborating closely with clients, you will adeptly grasp their business needs, translating them into an AI/ML framework. Your expertise will be pivotal in designing models and selecting suitable techniques to address the client's specific challenges. Responsible for the entire data science project lifecycle, your duties extend from comprehensive data collection to meticulous model development, deployment, maintenance, and optimization. Your focus will particularly centre on crafting machine learning and deep learning models customized for retail and customer analytics, incorporating champion-challenger models to enhance performance. Effective communication with senior stakeholders is imperative in this role, and your proficiency in Python coding will be crucial for seamless end-to-end model development. As the lead data scientist, you will play a key role in driving innovative solutions that align with client objectives and industry best practices. You should possess good communication and project management skills and can communicate effectively with a wide range of audiences, both technical and business. You would be responsible for creating Presentations, reports etc to present the analysis findings to the end clients/stakeholders. Should possess the ability to confidently socialize business recommendations and enable customer organization to implement such recommendations. You must familiar and implement with a range of models including regression, classification, clustering, decision tree, random forest, support vector machine, naïve Bayes, GBM, XGBoost, multiple linear regression, logistic regression, and ARIMA/ARIMAX. You should be competent in Python (Pandas, NumPy, scikit-learn etc.), possess high levels of analytical skills and have experience in the creation and/or evaluation of predictive models Qualifications:Python for Data Science (mandatory), Good proficiency in end to end coding which includes deployment experience. Experience processing large data. Min. 3 years exp in Retail domain Preferred skills include proficiency in SQL, Spark, Excel, Azure, AWS, GCP, Power BI, and Flask. Preferred experience in areas such as time series analysis, market mix modelling, attribution modelling, churn modelling, market basket analysis, etc.Possess a strong understanding of mathematics with logical thinking abilities.Excellent communication skills are a must. Qualifications BTech/Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1-2 institutions Or BE/B-Tech, MCA or MBARelevant Experience:8+ years of hands on experience in delivering Data Science/Analytics projects.

Job Summary: Senior Engineer 2 (SDET) Location: New Delhi Division: Ticketmaster Sport International Engineering Line Manager: Andrew French Contract Terms: Permanent THE TEAM Ticketmaster Sport is the global leader in sports ticketing. From the smallest clubs to the biggest leagues and tournaments, we are trusted as their ticketing partner. You will be joining the Ticketmaster Sports International Engineering division which is dedicated to the creation and maintenance of industry standard ticketing software solutions. Our software is relied upon by our clients to manage and sell their substantial ticketing inventories. Our clients include some of the highest profile clubs and organisations in sport. Reliability, quality, and performance are expected by our clients. We provide an extensive catalogue of hosted services including back-office tooling, public-facing web sales channels, and other services and APIs. The team you will join is closely involved in all these areas. The Ticketmaster Sports International Engineering division comprises distributed software development teams working together in a highly collaborative environment. You will be joining our expanding engineering team based in New Delhi. THE JOB You will be joining a Microsoft .Net development team as a Senior Quality Assurance Engineer. The team you will be joining is responsible for data engineering in the Sport platform. This includes developing back-end systems which integrate with other internal Ticketmaster systems, as well as with our external business partners. You will be required to work with event-driven systems, message queueing, API development, and much more besides. There is a tremendous opportunity for you to make a difference. We are looking for QA engineers who can help us drive our platform forward from a quality assurance point of view, as well as act as a mentor for more junior members of the team. You will be working very closely with the team lead to ensure the quality of our software and to assist in the planning and decision-making process. Apart from standard manual testing activities you will help improve our automated test suites, as well as be involved with performance testing. In essence, your job will be to ensure our software solutions are of the highest quality, robustness, and performance. WHAT YOU WILL BE DOING Design, build, and maintain scalable and reusable test automation frameworks using C# .Net and Selenium. Collaborate with developers, product managers, and QA to understand requirements and build comprehensive test plans. Defining, developing, and implementing quality assurance practices and procedures and test plans. Create, execute, and maintain automated functional, regression, integration and performance tests. Ensure high code quality and testing standards across the team through code reviews and best practices. Investigate test failures, diagnose bugs and file detailed bug reports Producing test and quality reports. Integrate test automation with CI/CD pipelines (GitLab, Azure Devops, Jenkins). Operating effectively within an organisation with teams spread across the globe. Working effectively within a dynamic team environment to define and advocate for QA standards and best practices to ensure the highest level of quality. TECHNICAL SKILLS Must have: 5+ years of experience in test automation development, preferably in an SDET role Strong hands-on experience with C# .Net and Selenium Webdriver. Experience in tools like NUnit, Specflow, or similar test libraries. Solid understanding of object-oriented programming (OOP) and software design principles. Experience developing and maintaining custom automation frameworks from scratch. Proficiency in writing clear, concise and comprehensive test cases and test plans. Experience of working in scrum teams within Agile methodology. Experience in developing regression and functional test plans, managing defects. Understand Business requirements and identify scenarios of Automated and manual testing Experience in performance testing using Gatling. Experience working with Git CI/CD pipelines. Experience with web service e.g. RESTful services testing including test automation with Rest Assured/Postman. Be proficient working with relational databases such as MSSQL or other relational databases. A deep understanding of Web protocols and standards (e.g. HTTP, REST). Strong problem-solving mindset and a detail-oriented mindset. Nice to have: Exposure to performance testing tools Testing enterprise applications deployed to cloud environments such as AWS. Experience on static code analysis tools like SonarQube etc. Building test infrastructures using containerisation technologies such as Docker and working with continuous delivery or continuous release pipelines. Experience in microservice development. Experience with Octopus Deploy. Experience with TestRail. Experience with event-driven architectures, messaging patterns and practices. Experience with Kafka, AWS SQS or other similar technologies. YOU (BEHAVIOURAL SKILLS) Excellent communication and interpersonal skills. We work with people all over the Globe using English as a shared language. As a senior engineer you will be expected to help managers make decisions by describing problems and proposing solutions. To be able to respond positively to challenge. Excellent problem-solving skills. Desire to take on responsibility and to grow as a quality assurance software engineer. Enthusiasm for technology and a desire to communicate that to your fellow team members. The ability to pick up any ad-hoc technology and run with it. Continuous curiosity for new technologies on the horizon. LIFE AT TICKETMASTER We are proud to be a part of Live Nation Entertainment, the world’s largest live entertainment company. Our vision at Ticketmaster is to connect people around the world to the live events they love. As the world’s largest ticket marketplace and the leading global provider of enterprise tools and services for the live entertainment business, we are uniquely positioned to successfully deliver on that vision. We do it all with an intense passion for Live and an inspiring and diverse culture driven by accessible leaders, attentive managers, and enthusiastic teams. If you’re passionate about live entertainment like we are, and you want to work at a company dedicated to helping millions of fans experience it, we want to hear from you. Our work is guided by our values: Reliability - We understand that fans and clients rely on us to power their live event experiences, and we rely on each other to make it happen. Teamwork - We believe individual achievement pales in comparison to the level of success that can be achieved by a team Integrity - We are committed to the highest moral and ethical standards on behalf of the countless partners and stakeholders we represent Belonging - We are committed to building a culture in which all people can be their authentic selves, have an equal voice and opportunities to thrive EQUAL OPPORTUNITIES We are passionate and committed to our people and go beyond the rhetoric of diversity and inclusion. You will be working in an inclusive environment and be encouraged to bring your whole self to work. We will do all that we can to help you successfully balance your work and homelife. As a growing business we will encourage you to develop your professional and personal aspirations, enjoy new experiences, and learn from the talented people you will be working with. It's talent that matters to us and we encourage applications from people irrespective of their gender, race, sexual orientation, religion, age, disability status or caring responsibilities.

PFB the JD Automation Testing, Selenium , C# , and .NET . Responsibilities Develop and maintain automated test scripts using Selenium, C#, and .NET. Collaborate with teams to understand requirements and ensure proper test coverage. Execute automated tests, analyze results, and report issues. Integrate automated tests into CI pipelines (e.g., Jenkins, Azure DevOps). Perform regression, functional, and performance testing. Enhance and optimize existing automation frameworks. Participate in Agile Scrum ceremonies and troubleshoot test failures.

Join us as a Quality Manager in Payments Technology This is an opportunity to act as a key contributor in a business that processes one in every four payments in the UK and £65 trillion per annum for our personal, business and commercial customers We’ll look to you to provide direction and leadership on all Quality matters across the platform, including adoption and compliance with the bank’s standards and policies It’s a great chance to hone your knowledge of quality best practices and develop your collaboration and stakeholder management skills We're offering this role at director level What you'll do In this key role, you’ll be making sure that only well designed and built work packages get through quality testing, and that they transition seamlessly from development into live environments. You’ll be overseeing the entire quality engineering process from ensuring testable requirements to automated regression packs. You’ll aim to get it right first time for our customers through innovative service and solutions, using automation as an accelerator and working closely with stakeholders in an Agile and collaborative environment. We’ll look to you to produce comprehensive and robust quality strategies and detailed quality test plans, enabling the continual flow of work packages across the domain, platform value stream or programme. You’ll also drive the adoption of new tooling such as GenAI to improve test case creation, execution and efficiency. Additionally, You’ll Be Promoting the creation and usage of rich test data datasets that are used throughout the delivery process Taking on ownership of testing OKR’s for the domain such as test or automation coverage, defect leakage and similar Leading and managing the quality strategy, plan and execution results of multiple feature teams, often concurrently Understanding customer and human centric designs and driving the quality of the team’s work to constantly improve solutions and enhance customer experiences Taking accountability for all aspects of quality across both run and change and business as usual activity within the assigned platform or domain Overseeing the output quality from all testing phases owned and making sure it meets the requirements of each quality test strategy Making sure defects are detected and prioritised, based on impact, and resolved at the earliest possible moment and before the last responsible moment Undertaking end-to-end test management including planning, risk, issue, dependency management, lessons learnt and governance The skills you'll need We’re looking for someone with strong knowledge and understanding of quality standards, quality best practices, and our risk and controls framework. You’ll also need high level of knowledge and demonstrable application of modern testing and quality practices and techniques used with Agile methodologies. Additionally, We’ll Be Looking For Practical experience of quality strategy and planning, testing design and execution Experience in functional and non-functional testing such as system, system integration, user, load, volume, stress, security, accessibility, compatibility, penetration and back-out The ability to relate everyday work to the strategic vision of the feature, platform, domain and enterprise teams, with a strong focus on business outcomes The ability to communicate complex technical concepts clearly to peers and management