דרושים Gcr-data Coe-advanced Analyst ב-Ey ב-India, Bengaluru

Role name and description

Advance Analyst - The person supports seniors in preparation of all tax (excluding indirect and payroll) compliance, tax accounting, forecasting and tax function activities, required to meet the Company's internal and external tax obligations in US and non-US jurisdictions.

Your key responsibilities

• Develop brief understanding of day-to-day activities and transactions related to tax and tax accounting matters and make sure they are properly addressed.
• Global direct tax compliance – Assist in preparation of income tax returns and workpapers for foreign jurisdictional income taxes with internal teams or with EY country teams.
• Income Tax Provision – Assist in preparation of quarterly and annual tax provision for US GAAP purposes.
• Statutory Tax Provision – Assist in preparation of annual statutory tax provision as per local GAAP with EY country teams. Assist in data compilation and workpaper preparation, where needed.
• Forecasting – Prepare cash taxes forecast by jurisdictions.
• Tax Payments – Prepare estimated and extension tax payments and manage tax payment process.
• Tax account reconciliation – Prepare balance sheet tax account reconciliation, collect supporting documents and work with client on reconciling items. Prepare and book rectification journal entries, where needed.
• Other Tax functions – Prepare journal entry package, return to provision entries, etc., and submit them for client’s approval

Skills and attributes for success

• Ability to work and plan effectively with minimal direction in ambiguous situations
• Strong interpersonal skills with a focus on building high functioning teams
• Able to articulate/position complex/critical challenges, issues, etc.
• The ability to priorities when working on multiple complex projects
• Strong influencing skills, and the confidence to question existing processes
• Contributing to a positive team environment by demonstrating consistent commitment and optimism towards work challenges

To qualify for the role, you must have

• Bachelor’s / Master’s degree in accounting / MBA Finance
• One to two years of experience in US and/or Non-US direct tax compliance, good knowledge and experience in income tax accounting (ASC 740 and FIN48), including a mixture of Big 4 and industry experience.
• Strong accounting skills with interest to learn US and Non-US direct tax compliance.
• Strong communication skills
• Strong computer skills including an intermediate knowledge of Excel, Word and PowerPoint

Ideally, you’ll also have

• Awareness of other taxes in the US
• Ability to read, interpret and apply the tax legislation

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you : We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership : We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

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.

Requisition Id : 1640919

Your key responsibilities

Technical Excellence

Skills and attributes

To qualify for the role you must have
Qualification

MBA

4-5 YEARS

What we look for

People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful and able to sustain postivie energy, while being adaptable and creative in their approach.

What we offer

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

Requisition Id : 1642006

Your key responsibilities

• Maintain continuous interaction with clients, manage expectations and ensure outstanding client service. Team with tax professionals to provide comprehensive tax solutions.
• Representing the firm for assessments and tribunal appeals at the CIT/ITAT level.
• Experience in domestic and/or international tax and transfer pricing.
• Experience in litigation, tax compliance and advisory.
• Experience in corporate laws, SEBI/FEMA regulation etc.
• Research complex tax theory and positions, and apply them to specific client needs.
• Provide comprehensive knowledge and reviews of tax case laws and develop opinion papers.
• Determine all information required to ensure/complete accurate tax compliance products within the budget. Formulate a plan to gather/communicate information. Determine areas of exposure and adapt to challenges in the compliance process.
• Provide timely and high-quality services and work products that exceed client expectations

Skills and attributes for success

• Excellent managerial, organizational, analytical and verbal/written communication skills
• Ability to thrive in a fast-paced, professional services environment

To qualify for the role you must have

• An undergraduate degree, preferably with an emphasis in economics, finance or statistics;
• Minimum 1-3 years of experience
• A certified CA/CS/LLB with at 0 - 1 years of post-qualification experience in direct corporate tax

Ideally you’ll also have

• Comfortable interacting with senior executives (within the firm and at the client)
• Be highly flexible, adaptable, and creative.

What we look for

People with the ability to work in a collaborative way to provide services across multiple client departments while adhering to commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions.

Role Overview:

We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.

Your technical responsibilities:

• Contribute to the design and implementation of state-of-the-art AI solutions.
• Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
• Collaborate with stakeholders to identify business opportunities and define AI project goals.
• Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
• Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
• Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
• Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
• Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
• Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
• Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
• Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
• Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
• Ensure compliance with data privacy, security, and ethical considerations in AI applications.
• Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
• Minimum 3-7 years of experience in Data Science and Machine Learning.
• In-depth knowledge of machine learning, deep learning, and generative AI techniques.
• Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
• Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
• Familiarity with computer vision techniques for image recognition, object detection, or image generation.
• Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
• Expertise in data engineering, including data curation, cleaning, and preprocessing.
• Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
• Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
• Understanding of data privacy, security, and ethical considerations in AI applications.
• Track record of driving innovation and staying updated with the latest AI research and advancements.

Good to Have Skills:

• Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
• Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
• Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
• Implement CI/CD pipelines for streamlined model deployment and scaling processes.
• Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
• Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
• Implement monitoring and logging tools to ensure AI model performance and reliability.
• Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
• Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.

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.

As a (Senior) Consultant in the Rewards team, you will be offered a diverse and fulfilling career; you will have the opportunity to work with a range of clients on large and small-scale projects across multiple sectors and industries. You will benefit by working with a variety of experienced teams across multiple geographies, in a fast-paced environment that can help you accelerate your career path, wherever that may take you.

Your key responsibilities

• Support in the planning and implementation of consulting projects in the area of remuneration for companies from various industries under the guidance and support of the project managers in our team
• Support in all tasks within the scope of individual customer projects: Project management, conducting analyses, developing recommendations for action, preparing client presentations, creating concepts
• Support in the design and development of remuneration systems including function evaluations, function profiles, benchmarking, salary bands and salary regulations
• Support in preparing offers for new customers or existing customers in several market segments
• Assisting with the maintenance and updating of the EY salary database
• Collaboration in the implementation of equal pay analyses
• Reviewing documents and reports
• Work with key project leaders to manage and maintain client relationships
• Working collaboratively with other workforce advisory colleagues as well as service lines and colleagues across EY globally

To qualify for the role, you must have

• University degree in Economics / Finance combined with a good understanding of Reward topics
• First experiences in corporate HR, Compensation & Benefits and/or Consulting
• Qualitative and quantitative data analysis skills as well as ability to create appropriate presentations for various stakeholders
• Strong written and verbal German and English communication skills and experience of producing high caliber reports, papers, presentations

Ideally, you’ll also have

• Experience in working on people matters such as key employee retention, compensation, and benefits programs
• First experience in people consulting and topics such as conducting remuneration surveys, supporting in day-to-day management of a company’s remuneration offering, knowledge about market trends in the field of rewards and key drivers
• Experience of supporting projects/workstreams
• Team player mentality with the ability to integrate with new teams quickly
• Ability to analyze complex problems and to deliver insightful, practical, and sustainable solutions
• Pragmatic and adaptable with the ability to deal with ambiguity and effectively manage conflict

What’s in it for you

Here at EY, you’ll have the chance to build a truly exceptional experience. We’ll empower you with the latest technology, surround you with high-performing teams, and provide the global scale and diverse and inclusive culture you need to discover your full potential. Through our coaching and training programs, you’ll develop the skills you need to stay relevant today and, in the future, – all while building a network of colleagues, mentors, and leaders who will be on the journey with you at EY and beyond.

Click to find out more about our benefits and corporate social responsibility.

Key Responsibilities:

To describe the responsibilities more concisely, you can focus on the key tasks and outcomes. Here is a more concise version:

Responsibilities:

• Work with business leaders, subject matter experts, and IT stakeholders to gather and analyze business requirements, identify data-related challenges, and propose solutions both tactical and strategic.
• Understand and articulate the business case for analysis, including the business question to address and the estimated value to be delivered.
• Develop data models, processes and methods that enable data integration, data management and efficient querying.
• Implement strategies for data governance, data quality, data security, and data lifecycle management.
• Implement data integration and exchange processes, leveraging APIs, data feeds, and batch processing.
• Maintain repository of document such as data dictionaries, data lineage documentation, and data mapping documents.
• Develop proof-of-concept prototypes, demonstrate data solutions, and stay updated with trends in data management and analytics.
• Ensure that all the processes and applications are in alignment with business goals, compliance, industry standards, and regulations for Technology landscape.
• Determine relevant data sources, collect, organize, and process data for analysis.
• Ensure data security and privacy compliance by providing implementation guidance on appropriate access controls, data classification protocols, and data protection measures.
• Design data management processes, including data identification, metadata management, data lineage, and data cataloguing.
• Define data sharing and collaboration across teams and departments, ensuring data access, usability, and proper data sharing agreements.
• Identify trends and patterns of data to address business questions and provide insights through reporting and data visualization techniques.
• Collaborate with other data and analytics professionals and teams to optimize, refine, and scale analysis into an analytics solution.
• Ensure the confidentiality and protection of sensitive data.
• Present actionable information and reports to senior leadership.

Skills and Attributes for Success:

• Strong analytical and leadership skills with meticulous attention to detail.
• Excellent communication and presentation skills; capable of clearly presenting complex data to non-technical audiences.
• Ability to work autonomously, lead initiatives and collaboratively within a team.
• Ability to interpret complex data and present it in an easily understandable format.

Must-Have:

• Ability to understand business challenges and address remediations through data solutions.
• Practical experience using latest technologies for data ingestion, integration, transformation, storage, mining/warehousing, big data analytics, and visualization.
• Good understanding of traditional data architecture practices (data warehousing, datahub, MDM etc.) as well transition to Next-Gen platform architectures
• Proficiency in project management methodologies and tools.
• Prior base-level experience in a data governance or data management role, with a focus on data quality, metadata management, and data stewardship.
• Strong conceptual knowledge of Business Intelligence, Data Warehousing and Master Data Management.
• Excellent communication, presentation, and interpersonal skills.
• Strong organizational skills and attention to detail.
• Good understanding of relevant data governance solutions available in market

Good-to-Have:

• Ability to understand business challenges and address remediations through data architecture and engineering solutions.
• Practical experience with one or more of strategic Data Architecture and Engineering, Cloud Data Modernization, Data migration project
• Practical experience using latest technologies for data ingestion, integration, transformation, storage, mining/warehousing, big data analytics, and visualization.

To qualify for the role, you must have:

• A Bachelor’s degree in Computer Science, Data Science, Statistics, Information Systems, or a related field; or equivalent work experience.
• Proven work experience as a Data Analyst or in a similar role.
• Strong understanding of SQL, database structures, and related statistical software.
• Proficiency in data visualization tools such as Tableau, Power BI, or similar.
• At least 10-12 years of experience in business analysis, reporting, data analysis, and stakeholder management.

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.

Critical roles and responsibilities for the GCP Architect - Manager

Looking for a highly skilled GCP Architect to lead a migration project, ensuring a seamless transition of workloads, applications, and services to Google Cloud Platform (GCP) while integrating with other cloud environments like AWS and Azure.

Key Responsibilities:

• Cloud Strategy & Architecture : Design and implement scalable, secure, and cost-effective GCP architectures for a multi-cloud environment.
• Migration Planning : Develop and execute migration strategies for applications, data, and infrastructure from on-premise or other cloud platforms (AWS/Azure) to GCP.
• Infrastructure as Code (IaC): Utilize Terraform, Ansible, or other IaC tools for automated provisioning and management of cloud resources.
• Security & Compliance : Ensure cloud environments adhere to industry security best practices, compliance standards (e.g., ISO, SOC, HIPAA), and Google Cloud security frameworks.
• CI/CD & DevOps Integration : Work with DevOps teams to integrate CI/CD pipelines using Azure DevOps, GitHub Actions, or Jenkins for cloud deployments.
• Networking & Hybrid Cloud : Design and implement hybrid and multi-cloud networking solutions, including VPNs, interconnects, and service mesh (Anthos, Istio).
• Performance & Cost Optimization : Monitor, optimize, and provide recommendations for cloud resource utilization, cost efficiency, and performance enhancements.
• Stakeholder Collaboration : Work closely with business, security, and engineering teams to align cloud solutions with organizational goals.
• Incident Management & Troubleshooting : Provide technical leadership for incident resolution, root cause analysis, and continuous improvement in cloud operations.

Experience

• 7-11 years of experience.

Technical Expertise:

• Strong hands-on experience with GCP services (Compute Engine, GKE, Cloud Functions, BigQuery, IAM, Cloud Armor, etc.).
• Familiarity with AWS and/or Azure services and cross-cloud integrations.
• Proficiency in Terraform, Ansible, or other IaC tools.
• Experience with containerization (Docker, Kubernetes) and microservices architecture.
• Strong networking skills, including VPC design, Cloud Interconnect, and hybrid cloud solutions.
• Understanding of security best practices, encryption, and identity management in a multi-cloud setup.
• Experience in Migration from on-prem to GCP or hybrid cloud architectures.
• Experience with Anthos, Istio, or service mesh technologies.
• Strong scripting skills in Python, Bash, or Go for automation.

Certifications (Preferred):

• Google Professional Cloud Architect
• Google Professional Cloud Security Engineer
• AWS/Azure Architect certifications (nice to have)

Soft Skills:

• Excellent problem-solving and analytical skills.
• Strong communication and stakeholder management abilities.
• Ability to lead and mentor technical teams in a fast-paced environment.

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.