Data Science Programs Lead - Eds jobs at Ey in India, Bengaluru

Your key responsibilities

You will support and collaborate closely with the Global Analytics team lead and other pillar leads to scope, explore and deliver advanced data science/ML projects that meet the requirements of the business in driving growth or creating efficiencies:

This analysis will involve key strategic pieces such as:

• Machine Learning driven financial forecasts for each part of our firm to inform EYs planning cycle and talent strategy
• Predicting the revenue potential of each of EYs services on each of our clients as well as predicting the next best action in terms of business development within that client
• Producing data driven recommendations into how our accounts can optimise their service delivery in order to improve margins
• Create and manage a best in class data management framework and architecture that can be leveraged by agentic AI

Across your project responsibilities you will be required to:

• Use agile best practices to effectively manage the priorities and workflow of your team across multiple projects
• Ensure high standard are maintained in terms of your teams work – ensuring robust processes for validation, testing and release management are followed throughout the team
• Be a thought leader – having a strong curiosity about EYs needs when it comes to predictive insights and using this combined with an expert level of know how to proactively drive recommend next steps
• Coach and develop the team to ensure that they have the right skills to succeed and putting plans in place to improve weak spots
• Communicate developments eloquently to a range of stakeholders including non technical senior leaders in a way that is relevant to them, as well as with other technical teams that we collaborate with

As a senior leader in the data and analytics space, you will already have a leading knowledge in data engineering and machine learning and you will use this to drive innovation across the team, creating an environment to support the development of new ideas and continuous improvements to ways of working, both within the analytics team and in the teams we work with.

You will coach junior colleagues to enable them to carry out analysis for senior leaders. This may include managing of workload, quality assessment and evaluation, skill transfer and supervision, deliverable expectations and timeframes across multiple projects.

To qualify for the role you must have:

• An excellent track record in leading teams developing data science/machine learning solutions to meet the business question being asked
• The ability to generate rapport and build trust with key stakeholders of the team
• The ability to determine, produce and clearly explain a visual story around the analysis to land the intended message with key stakeholders
• A strong track record of proactive innovation where you have autonomously gone from identifying a business requirement to successfully incepting a new solution that meets it
• Strong experience creating and managing automated ETL processes for machine learning pipelines and the management of relational database schemas
• Strong practical experience of performing exploratory analytics through to creating data science / machine learning pipelines using a combination of Python and SQL

Ideally, you’ll also have some of the following:

• Experience with Graph databases and metadata management is advantageous
• Experience of LLMs using both vectorized data and structured data is advantageous
• Experience of PowerBI advantageous

We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions.

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

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.

The ideal candidate should have hands-on experience with, strong skills in, and a solid understanding ofYou’ll work on building scalableand, aligned with.

Key skills required for the role (Primary):

• Expertise in designing and implementing a fully operational solution on Snowflake Data Warehouse using DBT Core / DBT Cloud.
• Experience building Jinja macros, snapshots, and custom materializations.
• Strong understanding of data warehousing concepts, including SCD Type 1 and 2.
• Familiarity with Git for source control and branching strategies.
• Understanding of CI/CD pipelines for data workflows.
• Exposure to Data Mesh architecture and domain-based data ownership.
• Experience with DBT Explorer or similar visualization/documentation tools.
• Familiarity with orchestration tools like Airflow, Amazon MWAA.
• Knowledge of metadata and data governance platforms e.g., dbt Docs.
• experience implementing Data Mesh concepts
• Hands on exposure to ETL using Snowflake native services
• Hands on exposure to SQL & scripting
• Good understanding of Snowflake Internals and integration of Snowflake with other data processing and reporting technologies
• Good to have experience working with AWS services like –S3, MWAA, lambda etc.
• Work experience with banking clients is an added advantage

Your role:

• Design and implement Data Mesh-aligned Data Products using DBT.
• Develop and maintain DBT models: incremental, table, and view.
• Create and manage DBT snapshots for historical tracking.
• Build and manage Jinja macros to promote reusability and maintainability.
• Implement Slowly Changing Dimensions (SCD) Type 1 and Type 2 using DBT.
• Create and maintain custom materializations for advanced use cases.
• Write Python scripts to support data processing, testing, automation, and integration tasks.
• Work extensively with Snowflake for data transformation, optimization, and performance tuning.
• Manage database objects (schemas, tables, stages) and perform performance tuning within Snowflake.
• Use DBT Cloud for job orchestration, testing, and documentation.
• Use Git for version control and follow CI/CD practices for safe deployment.
• Interact and communicate with the onsite teams directly to understand the requirement and determine the optimum solutions
• Provide product and design level functional and technical expertise along with best practices
• Ability to think clearly, plan effectively, organize and develop action plans leading to resolving problems and achieving specific goals

Skills and attributes for success

• Strong communication, presentation and team building skills and experience in producing high quality deliverables.

What we look for

• A Team of people with 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 1400 + professionals
• Opportunities to work with EY Advisory practices globally with leading businesses across a range of industries

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 the Role

You will act as the bridge between— enabling smarter marketing through automation, insights, and seamless orchestration across owned, paid, and earned media.

MarTech Strategy & Stack Management

• Own the overall MarTech architecture — CRM, automation, analytics, and campaign management platforms (e.g., Adobe, Salesforce, Marketo, Hootsuite, HubSpot, or equivalent).
• Assess, integrate, and optimize tools that support content personalization, audience segmentation, and performance measurement.
• Collaborate with IT and global marketing teams to ensure systems are compliant, secure, and aligned with EY’s global standards.
• Identify opportunities to automate workflows, improve campaign efficiency, and enhance data-driven decision-making.

Channel & Campaign Management

• Lead the execution and optimization of multi-channel campaigns (email, web, social, paid media, and internal channels).
• Establish campaign workflows, tagging systems, and audience segmentation models for precision targeting.
• Partner with content, design, and comms teams to ensure campaign messaging aligns with brand strategy and business priorities.
• Monitor campaign performance and guide teams to improve engagement, conversion, and reach.

Data, Analytics & Insights

• Define KPIs and dashboards to measure campaign and channel performance — including engagement, pipeline influence, and ROI.
• Lead marketing analytics and reporting, translating data into actionable insights and recommendations.
• Establish measurement frameworks that align with organizational goals (brand health, audience growth, digital footprint, sentiment).
• Partner with data analysts and global stakeholders to consolidate reporting and share best practices.

Governance & Optimization

• Create standardized campaign processes and templates to drive consistency, scalability, and compliance.
• Manage data hygiene, tagging, and taxonomy to enable accurate reporting and attribution.
• Champion the use of data and technology in campaign planning and creative execution.

Collaboration & Leadership

• Partner with regional and global BMC teams to align technology roadmaps and performance measurement frameworks.
• Work closely with content, design, and brand strategy teams to ensure channel insights shape creative development.
• Mentor junior team members and build MarTech capability across the function.

Skills and Attributes for Success

• Strong understanding of marketing automation, CRM systems, and digital analytics platforms .
• Proven experience in campaign management , audience segmentation , and data-driven marketing .
• Ability to connect insights with strategy — turning metrics into meaningful recommendations.
• Excellent stakeholder management and communication skills.
• Analytical mindset with a strong eye for optimization and continuous improvement.
• Comfortable navigating complex, matrixed global organizations.

To Qualify for the Role, You Must Have

• 8–12 years of experience in MarTech, digital marketing, or performance marketing leadership .
• Hands-on experience with marketing automation and analytics tools (Adobe Experience Cloud, Salesforce Marketing Cloud, HubSpot, Google Analytics, Power BI, etc.).
• Experience in campaign orchestration across multiple digital channels .
• Strong understanding of data management, tagging, and tracking frameworks .
• Bachelor’s degree in Marketing, Technology, Data Analytics, or related field (MBA preferred).

Position: Tech Product Development Lead – Payments

Manager

Description:

We are seeking a Tech Product Development Lead to design, architect, and develop robust applications for payment systems and core processing solutions. You will ensure compliance with industry standards while translating user needs into technical features that enhance customer experience. Key responsibilities include developing payment processing capabilities, conducting quality assurance, and collaborating with Product Management to clarify requirements. Proficiency in Java, modern front-end technologies (e.g., React), and cloud deployments is essential.

Experience Level:

• BE/BTech with 10+ years of relevant experience of which at least 3 years in Payments.
• Expertise in software development and payments architecture, with experience in payment application cycles.
• Manage the end-to-end delivery of digital projects, including multi location, multi geography delivery teams.
• Lead the design, development, and deployment of web applications, ensuring high performance and scalability.
• Strong programming skills and experience with NoSQL databases and distributed messaging systems (e.g., Redis, Kafka).
• Manage and mentor a technical team, promoting best practices and a culture of innovation.
• Understand how engineering decisions impact product outcomes and overall business goals.

Domain Requirement:

• Deep knowledge of payments and digital banking, including large-scale modernization programs.
• Innovative thinker with experience in implementing payment solutions across multiple platforms using integration patterns (API, ESB, Batch File).
• Familiarity with payments messaging standards (NACHA, ISO 8583, ISO 20022, SWIFT) and regulatory frameworks (SEPA, BASEL, PSD2, PCI DSS).
• Understanding of payments architecture design, integration patterns, and core processing solutions.
• Familiarity with payment ecosystems and cross-border payments.

Key Responsibilities:

• Design, develop, test, and deploy high-quality software solutions.
• Build and manage motivated delivery teams, ensuring effective communication and collaboration.
• Ability to understand the broader product vision, focusing on solving user problems and delivering business value.
• Lead assessments, architecture engagements, and engineering projects.
• Plan, budget, and oversee end-to-end delivery.
• Collaborate with architects and engineering leads to identify risks and dependencies.
• Establish performance management guidelines and KPIs for successful delivery.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 10+ years of IT experience, with 5 years in Payments.
• Proven leadership in multi-year, multi-team transformation projects.
• Strong understanding of product development processes and software architecture.

Soft Skills:

• Leadership and mentoring capabilities.
• Strong analytical and problem-solving skills with a product driven mindset.
• Excellent communication and interpersonal skills.

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 Skillset (Must Have)

• Strong database programming/ backend development experience using SQL Server/Azure SQL, writing complex queries, stored procedures, views, triggers, cursors, UDFs.
• Strong knowledge in data modeling and Datawarehouse concepts.
• Experience on Azure Data Factory or any other ETL
• Develops, maintains, and optimizes all data layer components for new and existing systems, including databases, stored procedures, ETL packages, and SQL queries
• Experience on Azure data platform offerings.
• Interacts with application developers from various core systems to address changes in those systems and their impact on existing SQL databases
• Defines data solutions for business problems by working directly with project managers, seniors and clients
• Ability to effectively communicate with other senior leaders of IT on program strategies and plans and negotiate quality solutions

Secondary Skillset (Good to Have)

• Snowflake, Snowpipe
• Databricks
• Python or Pyspark or Scala
• Any NoSQL Database

Qualification & Experience Required

• Strong verbal and written communications skills
• Ability to work as an individual contributor.
• 4+ years of experience on SQL DB/Server including building SQL Database, database designing and data modelling, SQL server experience with SSIS, Any ETL experience.
• Experience on Azure Data Factory or SSIS or any other ETL tools
• Exposure to visual analytics tool (Power BI) would be good to have but not mandatory

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.

Ever-increasing regulations require tax departments to gather, organize and analyse more data than ever before. Often the data necessary to satisfy these ever-increasing and complex regulations must be collected from a variety of systems and departments throughout an organization. Effectively and efficiently handling the variety and volume of data is often extremely challenging and time consuming for a company.

Key Skillset (Must Have)

• Strong database programming/ backend development experience using SQL Server/Azure SQL, writing complex queries, stored procedures, views, triggers, cursors, UDFs.
• Strong knowledge in data modeling and Datawarehouse concepts.
• Experience on Azure Data Factory or any other ETL
• Develops, maintains, and optimizes all data layer components for new and existing systems, including databases, stored procedures, ETL packages, and SQL queries
• Experience on Azure data platform offerings.
• Interacts with application developers from various core systems to address changes in those systems and their impact on existing SQL databases
• Defines data solutions for business problems by working directly with project managers, seniors and clients
• Ability to effectively communicate with other senior leaders of IT on program strategies and plans and negotiate quality solutions

Secondary Skillset (Good to Have)

• Snowflake, Snowpipe
• Databricks
• Python or Pyspark or Scala
• Any NoSQL Database

Qualification & Experience Required

• Strong verbal and written communications skills
• Ability to work as an individual contributor.
• 4+ years of experience on SQL DB/Server including building SQL Database, database designing and data modelling, SQL server experience with SSIS, Any ETL experience.
• Experience on Azure Data Factory or SSIS or any other ETL tools
• Exposure to visual analytics tool (Power BI) would be good to have but not mandatory

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

• Develop, review, and implement Solutions applying AI, Machine Learning, Deep Learning, and develop APIs using Python.
• Having relevant understanding of Big Data and Visualization would be one-upping.
• Lead the development and implementation of Generative AI applications using both open source (Llama, BERT, Mistral, etc.) and closed source (Open AI GPT models, MS Azure Cognitive Services, Claude, Cohere etc.) Large Language Models (LLMS).
• Extensively work with advanced models such as GPT-3.5, GPT 4, Llama, BERT etc, for natural language processing and creative content generation using contextual information.
• Design and optimize solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs.
• Understand Business and Sectors, ability to identify the whitespaces and opportunities for analytics application.
• Work and manage large to mid-size projects, and ensure smooth service delivery on assigned products, engagements and/or geographies.
• Work with project managers to study resource needs and gaps and devise alternative ways forward.
• Provide expert reviews for all projects within the assigned subject.
• Ability to communicate with cross functional/competencies teams.
• Go to Market / Stakeholder Management.

Skills and attributes for success

• Able to work creatively and systematically in a time-limited, problem-solving environment
• Loyal and reliable with high ethical standards
• Flexible, curious and creative, open for new things and able to propose innovative ideas
• Good interpersonal skills
• Team player, open, pleasure to work with and positive in a group dynamic
• Intercultural intelligence and experience of working in more than one country and/or multi-cultural teams with distributed delivery experience
• Ability to manage multiple priorities simultaneously to meet tight deadlines and drive projects to completion with minimal supervision

To qualify for the role, you must have

• Experience of guiding teams on Projects focusing on AI/Data Science and Communicating results to clients
• Familiar in implementing solutions in Azure Cloud Framework
• Excellent Presentation Skills
• 12 – 16 years of relevant work experience in developing and implementing AI, Machine Learning Models- experience of deployment in Azure is preferred
• Experience in application of statistical techniques like Linear and Non-Linear Regression/classification/optimization, Forecasting and Text analytics.
• Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML frameworks
• Minimum 6 years of experience in working with NLG, LLM, DL Techniques
• Relevant understanding of Deep Learning and neural network techniques
• Expertise in implementing applications using open source and proprietary LLM models
• Proficient in using Langchain-type orchestrators or similar Generative AI workflow management tools
• Minimum of 6-9 years of programming in Python
• Experience with the software development life cycle (SDLC) and principles of product development
• Willingness to mentor team members
• Solid thoughtfulness, technical and problem-solving skills
• Excellent written and verbal communication skills

Ideally, you’ll also have

• Ability to think strategically/end-to-end with result-oriented mindset
• Ability to build rapport within the firm and win the trust of clients
• Willingness to travel extensively and to work on client sites / practice office locations

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-prominent, multi-disciplinary team of 3000 + professionals, in the only integrated global transaction business worldwide.
• Opportunities to work with EY SaT practices globally with prominent businesses across a range of industries

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.