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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. Join us and build an exceptional experience for yourself, and a better working world for all.

The exceptional EY experience. It's yours to build.

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

Tech Consulting, AI & Quantitative Modeling, Data Science Senior, Consumer Products & Retail Sectors

EY delivers unparalleled cross functional tech consulting services in artificial intelligence, big data and cloud engineering. We always support and enable big ideas with the ambition to keep doing more. We leverage leading practices and a high degree of business acumen that has been compiled over years of experience to ensure the highest level of execution and satisfaction for our clients. Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you’ll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. Come help define the future of AI.

The opportunity

EY is significantly investing in their award-winning AI & Data practice. You will help our clients develop and realize their ambition to leverage AI at scale and drive better business outcomes. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Our teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We’ll look to you to provide consulting services to ensure AI solutions are properly engineered and maintained to support the ongoing business needs of our clients.

This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career. We are looking for leaders at the intersection of predictive and prescriptive analytics.

Your key responsibilities

As an Advanced Analytics and Data Science Senior, you will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry, and we work with a wide variety of clients to deliver the latest data science, big data technologies, and operations research techniques and practices to design, build and maintain scalable and robust solutions that unify, enrich and analyse data from multiple sources.

Skills and attributes for success

• Create well-rounded approaches to help clients navigate the complex world of modern data science, analytics, and software engineering.

• Provide clients with a unique business perspective on how data science and analytics can transform and improve their entire organization.

• Clarify problems by driving to understand the true issue.

• Solve problems by incorporating data into decision making.

• Apply data mining and statistical analysis techniques like hypothesis testing, segmentation and modelling to analyze large amounts of data.

• Help clients make data-driven decisions by working with structured and unstructured data sets, building out predictive models and advising our clients on data mining leading practices.

• Build and apply data analysis algorithms including data mining, statistics, machine learning, natural language processing, sentiment analysis, and text mining.

• Design, architect and develop solutions leveraging data technologies to ingest, process and analyze large, disparate data sets to exceed business requirements.

• Unify, enrich and analyze customer data to derive new insights and opportunities.

• Leverage in-house data platforms and recommend and build new data platforms/solutions as required.

• Communicate findings, recommendations and opportunities to improve data systems and solutions.

• Apply a data driven approach (KPIs) in tying technology solutions to specific business outcomes.

• Look for opportunities for improving methods and outcomes.

• Stay abreast of industry trends, technology innovations and AI regulatory requirements across the globe

• Understand clients’ overall data, AI and technology landscape and business priorities and success measures

• Strong team collaboration and experience working with a diverse team in a hybrid model (on site and remote)

• Work on large-scale client engagements.

• Foster relationships with client personnel at appropriate levels.

• Consistently deliver quality client services by driving high-quality work products within expected timeframes and on budget

• Collaborating, influencing and building consensus through constructive relationships and effective listening

To qualify for the role, you must have

• Bachelor's degree in Mathematics, Information Systems, Statistics, Operations Research, Data Science, Analytics, Computer Science, Engineering, Machine Learning, or a related field and 3+ years of related work experience; or a Master's degree in Mathematics, Information Systems, Statistics, Operations Research, Data Science, Analytics, Computer Science, Engineering, Machine Learning, or a related field

• Experience working for or serving clients in the Consumer Goods and/or Retail industries

• Familiarity with Consumer Goods and/or Retail industry trends and leading practices

• Experience working with popular ML packages such as scikit-learn, Pytorch and ONNX, or related ML libraries.

• A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions.

• Experience with MLOps methods and platforms such as MLFlow.

• Strong skills in Python

• Experience with CI/CD and test-driven development.

• Understanding of data structures, data modelling and software engineering best practices.

• Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark.

• Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions.

• Willingness to travel to meet client obligations.

• Strong knowledge of AI technologies and frameworks

• Excellent analytical, problem-solving, and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders

• Team player

Ideally, you’ll also have

• Experience using Generative AI models and frameworks e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG).

• Familiarity with regulatory frameworks and standards related to AI ethics, privacy, and data protection

• Working experience with Agile and/or Scrum methods of delivery

• Working experience with design led thinking

• Microsoft, Databricks, AWS, NVIDIA or Snowflake Certifications in the Data & AI domain

• A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them.

• Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field.

• Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.

What we look for

• You have an agile, growth-oriented mindset.What you know matters. But the right mindset is just as important in determining success. We’re looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world.

• You are curious and purpose driven. We’re looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world.

• You are inclusive. We’re looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust.

What we offer

We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $105,100 to $192,700. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $126,100 to $218,900. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

• 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 accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

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.

For those living in California, please click here (https://ey-preview.ey.com/content/ey-unified-site/ey-com/local/us/en_us/home/legal-and-privacy/fair-chance-ordinance.html?token=68cf9ed2-94e5-4db9-83cf-5c6aa14619de) for additional information.

EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com