Cbs - Bmc Brand Marketing Marketing-data Reporting jobs at Ey in India, Bengaluru

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.

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.

Your key responsibilities

• Lead and manage large data migration projects, ensuring successful execution and delivery.
• Design and implement data architecture solutions that align with business requirements and best practices.
• Collaborate with cross-functional teams to gather requirements and define data migration strategies.
• Utilize ETL tools, with a preference for Informatica/IICS, to facilitate data extraction, transformation, and loading processes.
• Ensure data quality and integrity throughout the migration process.
• Communicate effectively with stakeholders, providing updates on project progress and addressing any concerns.
• Work in an onshore-offshore model, coordinating with teams across different locations and managing multi-vendor scenarios.

Skills and attributes for success

• 15+ years of experience in data migration, data architecture, or data engineering.
• Proven track record of managing large data migration projects successfully.
• Strong technical management skills with a focus on cloud ecosystems.
• Experience with ETL tools; Informatica/IICS experience is preferred, but any ETL tool experience is acceptable.
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Desirable experience working in an onshore-offshore model and in multi-vendor environments.
• Be part of a dynamic team driving significant data transformation initiatives.
• Collaborative work culture that values innovation and professional growth.

Ideally, you’ll also have

• Client management skills

What we look for

• Minimum 8 years of experience as Architect on Analytics solutions and around 8 years of experience with Snowflake.
• People with technical experience and enthusiasm to learn new things in this fast-moving environment

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

Must Have:

1. Strong hands on exp in Python, Pandas, Numpy,
2. Experience on ETL
3. Manage large datasets
4. Multi threading and Object Oriented Concepts of Python
5. Automation on Excel using Python
6. SQL
7. Hands on exposure in Data Science & AI technologies

Good to Have:

1. Domain expertise in pharma domain especially having deep exposure in clinical trials, biostats modelling etc
2. exp working on packages like pywin32, Win32Com
3. Experience or understanding of at least 1 cloud stack AWS/ Azure/ GCP
4. Experience on Apache Air flow, Alteryx

CBS - MKT - Digital Products & Solutions :

We assist the executive management in overseeing the firm’s operations. Key responsibilities includes:

• Liaising with internal stakeholders to identify priority areas, growth driver solutions, review account plans and to drive growth and market enablement initiatives
• Conceptualising and implementing firm-wide market campaigns to link and align PAN India teams on focus solutions, growth opportunities, etc
• Monitoring firm revenue and pipeline and facilitating management review
• Preparing GTM materials for the firm
• Preparing reports for management review

Technical Excellence

• Lead, coach and manage Product team as Product Manager. • Lead Product Manager driving more complex products or product lines • Discover, Define and manage the Product Backlog and Release Roadmap, working across the organization and its executives • Create Epics and User Stories based on feedback from internal teams and client/partner requests • Build strong prioritization and estimation frameworks to drive product buildouts • Customer focused product development • Innovate and improve product processes to create best in class products • Strong analytical and problem solving skills that drive the best decisions for our products • Ensure that products are aligned with our engineering principles upfront • Hiring/interviewing of additional team members to the Development Teams • Be the product representative (presentations, events, writing articles) Ideally, you’ll also have • Strong communication, facilitation, relationship-building, presentation and negotiation skills. • Be a curious mind, leveraging the best in Product Management and AI to create market leading products • Be highly flexible, adaptable, and creative. • Comfortable interacting with senior executives (within the firm and at the client) • Strong leadership skills and supervisory responsibility

Qualification

Experience

• Product Management (8+ years)

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

Requisition Id : 1634901

Your key responsibilities

Technical Excellence

Skills and attributes

To qualify for the role you must have
Qualification

Graduation (computer science, Btech, etc)

Minimum 0-3 years relevant experience

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.