AI and Data - Senior Consultant - Data Scientist

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

We are seeking a Senior Consultant, Data Science & ML Engineering. We are seeking passionate, entrepreneurial individuals to join us on an exciting Data & Analytics journey and building an expanding set of Managed Data Science and Agentic AI Services across multiple industries. You will help industry clients navigate the complex world of modern data science and AI. We’ll look to you to provide our clients with a unique business perspective on how data science and AI can transform and improve their entire organization - starting with key business issues they face.

This is a high growth, high visibility area with plenty of opportunities to enhance your skillset and build your career.

The role will be responsible for proactively identifying and prioritizing use cases across value chains across industries leveraging AI and Machine Learning techniques, building, validating, deploying, and monitoring advanced descriptive, predictive, and prescriptive analytics solutions. The role will coach the data engineer and data science team to deliver service and develop solutions with a business mindset.

• Collaborate with clients to understand their needs and guide them towards building AI and Machine Learning solutions delivering both short‑term wins and identifying long‑term opportunities for managed data science services.
• Build/ deliver the roadmap to develop/implement AI/ML products with a team of data scientists, data engineers, and business‑focused product owners.
• Build, validate, deploy, monitor, and provide MLOps support for a set of AI/ML models and services for both internal POCs and client production initiatives.
• Leverage commercial and open‑source AI, Machine Learning, Big Data ecosystem tools, BI, visualization, and discovery tools to deliver advanced models and other data science solutions. Specific tools will include (but not limited to) the full SAS stack, R, Python, Scala, Java, Spark SQL/ML/MLLib/Graph
  
  X, data science notebooks and workbenches, Azure Machine Learning, Tableau, Datameer, and other tools.
• Guide clients in selecting generative AI models and related services suitable for their needs.
• Assist with AI governance related topics such as data residency, PII handling, etc.
• Proactively monitor and tune AI/ML model performance, manage champion/challenger models to ensure optimal performance and resource utilization.
• Ensure all AI/ML models are properly packaged and documented for deployment. Participate in client training and knowledge transfer as required.
• Ensure all solutions comply with the highest levels of security, privacy and data governance requirements as outlined by EY and client legal and information security guidelines, law enforcement, and privacy legislation, including data anonymization, encryption, and security in transit and at rest.
• Effectively leverage continuous integration, continuous development and continuous deployment agile and Dev Ops tools and processes to deliver and support advanced data science and big data solutions and services, including Git, Jira, Jenkins and others as required.

• A master’s degree in AI, Machine Learning, Statistics, Economics/Econometrics, Computer Science, Engineering or equivalent.
• 3+ years of extensive experience building and deploying end‑to‑end data science and analytics solutions in various industries with business acumen.
• Proficiency and understanding of the predictive modeling lifecycle and best practices for feature engineering, model development and tuning (hyper‑parameter, ensemble modeling techniques, deep learning), model validation, deployment packaging, model management and performance monitoring.
• Data scientist certification, including Hadoop, Spark or equivalent production experience.
• Experience with open‑source AI / Machine Learning / Data Science tools – R, Python, Spark. Including experience working with…