Press Tab to Move to Skip to Content Link Other locations:  Anywhere in Region Date:  Aug 22, 2024 Requisition ID:  1533776 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. Forensics Discovery - Data Scientist Manager (Responsible AI) EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. 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. We’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Forensics Discovery Data Scientist Manager (Responsible AI)   EY delivers unparalleled cross functional tech consulting and Forensics 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. Come help define the future of AI while adhering to ethical, compliance and regulatory requirements. The opportunity  You will help our clients develop and realize their ambition to leverage AI at scale and drive better business outcomes. In addition, you will play a pivotal role for in helping our clients integrate ethical, fairness, transparency, and accountability considerations into their AI initiatives. You will have the opportunity to lead, stay abreast of AI technology trends, expand your knowledge of assurance, risk management and AI regulations while developing your skill set to keep up with the ever-growing demands of AI capabilities. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career.  Your key responsibilities As a Data Scientist Manager (Responsible AI), you will be leading a team of junior team members working with a wide variety of clients to define, develop and operationalize their AI strategy, governance and assurance framework, Model Operations (ModelOps) architecture and other capabilities adhering to their internal enterprise level policies and procedures, regulatory compliance and security requirements.  Skills and attributes for success <ul><li> Developing and executing a comprehensive AI Strategy that aligns with the client's goals, mission and vision and adheres to their enterprise policies and procedures and AI regulatory and compliance requirements </li><li> Collaborating with the Assurance Team to embed the risk framework into the end-to-end AI capabilities and model lifecycle management. </li><li> Staying abreast of AI technology trends and regulatory requirements while providing directional guidance and recommendations around ModelOps tools and solutions that fit their needs and integrate with their existing ecosystem </li><li> Applying combined business and technical knowledge to develop and execute ModelOps target architecture that enables implementation and monitoring of AI at scale as it aligns with Responsible AI guidelines </li><li> Collaborating with Data Scientists, Data Engineers, Cloud Engineers, MLOps Engineers, DevOps to implement and sustain ModelOps target architecture in client's platform of choice </li><li> Collaborating with clients to understand their business objectives and develop tailored Responsible AI strategies aligned with their values and regulatory obligations </li><li> Designing and implementing ethical frameworks, guidelines, and policies to govern the development and deployment of AI systems, ensuring fairness, transparency, and accountability </li><li> Leading efforts to identify and mitigate biases in AI algorithms and data, employing techniques such as fairness-aware machine learning and bias detection </li><li> Monitoring progress, managing risk and ensuring key stakeholders are kept informed about progress and expected outcomes </li><li> Understanding clients' overall data, AI and technology landscape, business priorities and success measures. Solving problems by incorporating data into decision making </li><li> Strong team collaboration and experience working with a diverse team in a hybrid model (on site and remote) </li><li> Fostering relationships with client personnel at appropriate levels. Consistently delivering quality client services. Driving high-quality work products within expected timeframes and on budget </li><li> Continuously evaluating opportunities for improving methods and outcomes </li> </ul> To qualify for the role you must have   <ul><li> Bachelor's degree, or MS degree in Business, Economics, Technology Entrepreneurship, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning </li><li> Minimum of 5-8 + years of professional consulting experience in business or technology consulting or similar roles </li><li> Proven experience in AI ethics, responsible AI, or related fields, with a strong understanding of AI technologies and their ethical implications </li><li> Strong data science and/or data engineering experience </li><li> Ability to stay updated with industry trends and AI regulatory requirements, and quickly adapt to new technologies. </li><li> Strong knowledge of AI technologies and frameworks </li><li> Communication and critical thinking are essential. Must be able to listen and understand the question and develop and deliver clear insights </li><li> Excellent analytical, problem-solving, and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders </li><li> Demonstrated leadership and project management experience, with the ability to lead multidisciplinary teams and drive successful outcomes </li><li> Independent and able to manage and prioritize workload </li><li> Ability to adapt quickly and positively to change </li><li> A valid driver's license in the US; willingness and ability to travel to meet client needs. </li><li> Team player  </li> </ul> Ideally, you'll also have <ul><li> Experience in leading business or IT transformation projects that have supported data science, business intelligence, artificial intelligence, and cloud applications at scale </li><li> Familiarity with regulatory frameworks and standards related to AI ethics, privacy, and data protection </li><li> Certification in relevant areas such as AI ethics, data ethics, or responsible AI is a plus </li><li> Working experience with Agile and/or Scrum methods of delivery </li><li> Working experience with design led thinking </li><li> Microsoft, AWS, ServiceNow, or Snowflake Certifications in the Data & AI domain  </li> </ul> 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 $124,300 to $227,900. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $149,200 to $259,000. 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. <ul><li> Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. </li><li> Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. </li><li> Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. </li><li> Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. </li> </ul> 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  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 Select how often (in days) to receive an alert: EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients. #J-18808-Ljbffr

Location: SeattleDate: 8 Oct 2024Requisition ID: 1546611EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. 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. Join us and build an exceptional experience for yourself, and a better working world for all.Work with a wide variety of clients to deliver the latest data science technologies and operations research techniques and practices to design, build and maintain scalable and robust solutions that unify, enrich and analyze data from multiple sources. Assist clients to 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. Manage and contribute to development of proof of concepts and/or pilots for clients while working in cross-functional teams. Leverage in-house data platforms as needed and recommend and build new data platforms/solutions as required to exceed business requirements. Manage daily operations of a global data and analytics team(s) on client engagements, review developed models, provide feedback, and assist in model development and data analysis. Manage other data scientists and data engineers to develop and deliver the most appropriate algorithms to meet client requirements. Build and apply data analysis algorithms and design, architect, and develop solutions leveraging big data technology to ingest, process, and analyze large, disparate data sets to meet or exceed business requirements. Communicate findings, recommendations, and opportunities to facilitate client presentations and/or improve data systems and solutions.Manage and motivate teams with diverse skills and backgrounds. Consistently deliver quality client services by monitoring progress. Demonstrate in-depth technical capabilities and professional knowledge. Maintain long-term client relationships and networks. Cultivate business development opportunities.Full time employment, Monday – Friday, 40 hours per week, 8:30 am – 5:30 pm.MINIMUM REQUIREMENTS:Must have a Bachelor's degree in Mathematics, Information Systems, Statistics, Operations Research, Analytics, Computer Science, Data Science, Machine Learning, or a related field and 5 years of progressive, post-baccalaureate related work experience. Alternatively, will accept a Master's degree in Mathematics, Information Systems, Statistics, Operations Research, Analytics, Computer Science, Data Science, Machine Learning, or a related field and 4 years of related work experience.Must have 4 years in one or a combination of professional services and/or consulting experience.Must have 4 years of hands-on experience in data science, including its applications in business for client conversations.Must have 2 years of experience in concepts in big data and data engineering.Must have 4 years of experience in a combination involving at least two of the following:<ol><li>R, Python, SQL, SAS or similar in core packages and libraries used for data science and machine learning.</li><li>ETL and data engineering skills, including data cleansing and manipulation using SQL based tool/platforms.</li><li>Data sources and structures using one or a combination of the following: APIs, NoSQL, RDBMS, Hadoop, S3, Blob Storage, and/or similar.</li><li>Big data technologies in one or a combination of the following ecosystems: Hadoop, AWS and/or Microsoft.</li></ol>Must have 2 years of experience managing teams of Data and Analytics professionals.Travel is required approximately 80% of the time, up to 20% international travel.Employer will accept any suitable combination of education, training, or experience.Please apply on-line at ey.com/en_us/careers and click on "Careers - Job Search”, then “Search Jobs" (Job Number - 1546611).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 for this job is $151,767.00 per year. 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. 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.<ul><li>Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.</li><li>Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.</li><li>Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.</li><li>Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.</li></ul>If you can demonstrate that you meet the criteria above, please contact us as soon as possible.The exceptional EY experience. It’s yours to build.EY | Building a better working world
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<h3>Forensics - Discovery Data Scientist - Manager (AI Responsibility)</h3>Other locations: Anywhere in RegionDate: Sep 20, 2024Requisition ID: 1533776At 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 opportunityYou will help our clients develop and realize their ambition to leverage AI at scale and drive better business outcomes. In addition, you will play a pivotal role in helping our clients integrate ethical, fairness, transparency, and accountability considerations into their AI initiatives. You will have the opportunity to lead, stay abreast of AI technology trends, expand your knowledge of assurance, risk management and AI regulations while developing your skill set to keep up with the ever-growing demands of AI capabilities. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career.Your key responsibilities<ul><li>Leading a team of junior members to define, develop and operationalize AI strategy, governance and assurance framework, Model Operations (ModelOps) architecture and other capabilities adhering to enterprise level policies and procedures, regulatory compliance and security requirements.</li></ul>Skills and attributes for success<ul><li>Developing and executing a comprehensive AI Strategy that aligns with the client's goals and adheres to regulatory and compliance requirements.</li><li>Collaborating with the Assurance Team to embed the risk framework into AI capabilities and model lifecycle management.</li><li>Staying abreast of AI technology trends and regulatory requirements while providing guidance around ModelOps tools and solutions.</li><li>Applying combined business and technical knowledge to develop and execute ModelOps target architecture.</li><li>Collaborating with Data Scientists, Data Engineers, Cloud Engineers, and MLOps Engineers to implement and sustain ModelOps target architecture.</li><li>Understanding clients' overall data, AI and technology landscape, business priorities and success measures.</li><li>Strong team collaboration and experience working with a diverse team in a hybrid model.</li></ul>To qualify for the role you must have<ul><li>Bachelor's degree, or MS degree in relevant fields.</li><li>Minimum of 5-8+ years of professional consulting experience.</li><li>Proven experience in AI ethics or related fields.</li><li>Strong data science and/or data engineering experience.</li><li>Excellent analytical, problem-solving, and communication skills.</li></ul>What we offerWe 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. Join us in our team-led and leader-enabled hybrid model.EY is an equal opportunity employer providing equal employment opportunities to applicants and employees without regard to any legally protected basis.
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Location: San JoseDate: 23 Oct 2024Requisition ID: 1551977EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. 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. Join us and build an exceptional experience for yourself, and a better working world for all.Work with a wide variety of clients to deliver the latest data science 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. Assist clients to 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. Manage and contribute to development of proof of concepts and/or pilots for clients while working in cross-functional teams. Leverage in-house data platforms as needed and recommending and building new data platforms/solutions as required to exceed business requirements. Manage daily operations of a global data and analytics team(s) on client engagements, review developed models, provide feedback, and assist in model development and data analysis. Manage other data scientists and data engineers to develop and deliver the most appropriate algorithms to meet client requirements. Build and apply data analysis algorithms and design, architect, and develop solutions leveraging big data technology to ingest, process, and analyse large, disparate data sets to meet or exceed business requirements. Communicate findings, recommendations, and opportunities to facilitate client presentations and/or improve data systems and solutions.Manage and motivate teams with diverse skills and backgrounds. Consistently deliver quality client services by monitoring progress. Demonstrate in-depth technical capabilities and professional knowledge. Maintain long-term client relationships and networks. Cultivate business development opportunities.MINIMUM REQUIREMENTS:Must have a Bachelor's degree in Mathematics, Information Systems, Statistics, Operations Research, Analytics, Computer Science, Data Science, Machine Learning, or a related field and 5 years of progressive, post-baccalaureate related work experience. Alternatively, will accept a Master's degree in Mathematics, Information Systems, Statistics, Operations Research, Analytics, Computer Science, Data Science, Machine Learning, or a related field and 4 years of related work experience.Must have 4 years in one or a combination of professional services and/or consulting experience.Must have 4 years of hands-on experience in data science, including its applications in business for client conversations.Must have 2 years of experience in concepts in big data and data engineering.Must have 4 years of experience in a combination involving at least two of the following:<ol><li>R, Python, SQL, SAS or similar in core packages and libraries used for data science and machine learning.</li><li>ETL and data engineering skills, including data cleansing and manipulation using SQL based tool/platforms.</li><li>Data sources and structures using one or a combination of the following: APIs, NoSQL, RDBMS, Hadoop, S3, Blob Storage, and/or similar.</li><li>Big data technologies in one or a combination of the following ecosystems: Hadoop, AWS and/or Microsoft.</li></ol>Must have 2 years of experience managing teams of Data and Analytics professionals.Travel is required approximately 80% of the time, up to 20% international travel.Employer will accept any suitable combination of education, training, or experience.Please apply on-line at ey.com/en_us/careers and click on "Careers - Job Search”, then “Search Jobs" (Job Number - 1551977).What we offer:<ul><li>Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.</li><li>Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.</li><li>Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.</li><li>Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.</li></ul>If you can demonstrate that you meet the criteria above, please contact us as soon as possible.The exceptional EY experience. It’s yours to build.EY | Building a better working worldEY 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 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, type Option 2 (HR-related inquiries) and then type Option 1 (HR Shared Services Center), which will route you to EY’s Talent Shared Services Team or email SSC Customer Support at ssc.customersupport@ey.com.This particular position at Ernst & Young in the United States requires the qualified candidate to be a "United States worker" as defined by the U.S. Department of Labor regulations at 20 CFR 656.3.
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<h3>Forensics - Discovery Data Scientist - Manager (AI Responsibility) </h3>Other locations: Anywhere in Region Date: Sep 20, 2024 Requisition ID: 1533776 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 opportunity You will help our clients develop and realize their ambition to leverage AI at scale and drive better business outcomes. In addition, you will play a pivotal role in helping our clients integrate ethical, fairness, transparency, and accountability considerations into their AI initiatives. You will have the opportunity to lead, stay abreast of AI technology trends, expand your knowledge of assurance, risk management and AI regulations while developing your skill set to keep up with the ever-growing demands of AI capabilities. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career. Your key responsibilities <ul><li>Leading a team of junior members to define, develop and operationalize AI strategy, governance and assurance framework, Model Operations (ModelOps) architecture and other capabilities adhering to enterprise level policies and procedures, regulatory compliance and security requirements. </li> </ul>Skills and attributes for success <ul><li>Developing and executing a comprehensive AI Strategy that aligns with the client's goals and adheres to regulatory and compliance requirements. </li><li>Collaborating with the Assurance Team to embed the risk framework into AI capabilities and model lifecycle management. </li><li>Staying abreast of AI technology trends and regulatory requirements while providing guidance around ModelOps tools and solutions. </li><li>Applying combined business and technical knowledge to develop and execute ModelOps target architecture. </li><li>Collaborating with Data Scientists, Data Engineers, Cloud Engineers, and MLOps Engineers to implement and sustain ModelOps target architecture. </li><li>Understanding clients' overall data, AI and technology landscape, business priorities and success measures. </li><li>Strong team collaboration and experience working with a diverse team in a hybrid model. </li> </ul>To qualify for the role you must have <ul><li>Bachelor's degree, or MS degree in relevant fields. </li><li>Minimum of 5-8+ years of professional consulting experience. </li><li>Proven experience in AI ethics or related fields. </li><li>Strong data science and/or data engineering experience. </li><li>Excellent analytical, problem-solving, and communication skills. </li> </ul>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. Join us in our team-led and leader-enabled hybrid model. EY is an equal opportunity employer providing equal employment opportunities to applicants and employees without regard to any legally protected basis. #J-18808-Ljbffr

<h3>IT Advisor - Tech Cons - Data and Analytics - Data Science - Manager - Multiple Positions - 1540689</h3>Location: AustinOther locations: Primary Location OnlyDate: 17 Sep 2024Requisition ID: 1540689EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. 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, too. Join us and build an exceptional experience for yourself, and a better working world for all.IT Advisor - Technology Consulting - Data & Analytics - Data Science (Manager) (Multiple Positions) (1540689), Ernst & Young U.S. LLP, Austin, TX.Work with a wide variety of clients to deliver the latest data science technologies and operations research techniques and practices to design, build and maintain scalable and robust solutions that unify, enrich and analyze data from multiple sources. Assist clients to 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. Manage and contribute to development of proof of concepts and/or pilots for clients while working in cross-functional teams. Leverage in-house data platforms as needed and recommend and build new data platforms/solutions as required to exceed business requirements. Manage daily operations of a global data and analytics team(s) on client engagements, review developed models, provide feedback, and assist in model development and data analysis. Manage other data scientists and data engineers to develop and deliver the most appropriate algorithms to meet client requirements. Build and apply data analysis algorithms and design, architect, and develop solutions leveraging big data technology to ingest, process, and analyze large, disparate data sets to meet or exceed business requirements. Communicate findings, recommendations, and opportunities to facilitate client presentations and/or improve data systems and solutions.Manage and motivate teams with diverse skills and backgrounds. Consistently deliver quality client services by monitoring progress. Demonstrate in-depth technical capabilities and professional knowledge. Maintain long-term client relationships and networks. Cultivate business development opportunities.Full time employment, Monday – Friday, 40 hours per week, 8:30 am – 5:30 pm.MINIMUM REQUIREMENTS:Bachelor's degree in Mathematics, Information Systems, Statistics, Operations Research, Analytics, Computer Science, Data Science, Machine Learning, or a related field and 5 years of progressive, post-baccalaureate related work experience. Alternatively, will accept a Master's degree in Mathematics, Information Systems, Statistics, Operations Research, Analytics, Computer Science, Data Science, Machine Learning, or a related field and 4 years of related work experience.Must have 4 years in one or a combination of professional services and/or consulting experience.Must have 4 years of hands-on experience in data science, including its applications in business for client conversations.Must have 2 years of experience in concepts in big data and data engineering.Must have 4 years of experience in a combination involving at least two of the following:<ul><li>R, Python, SQL, SAS or similar in core packages and libraries used for data science and machine learning.</li><li>ETL and data engineering skills, including data cleansing and manipulation using SQL based tool/platforms.</li><li>Data sources and structures using one or a combination of the following: APIs, NoSQL, RDBMS, Hadoop, S3, Blob Storage, and/or similar.</li><li>Big data technologies in one or a combination of the following ecosystems: Hadoop, AWS and/or Microsoft.</li></ul>Must have 2 years of experience managing teams of Data and Analytics professionals.Travel is required approximately 80% of the time, up to 20% international travel.Employer will accept any suitable combination of education, training, or experience.Please apply on-line at ey.com/en_us/careers and click on "Careers - Job Search”, then “Search Jobs" (Job Number - 1540689).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 for this job is $192,803.00 per year. 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. 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.<ul><li>Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.</li><li>Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.</li><li>Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.</li><li>Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.</li></ul>If you can demonstrate that you meet the criteria above, please contact us as soon as possible.The exceptional EY experience. It’s yours to build.EY | Building a better working worldEY 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.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, type Option 2 (HR-related inquiries) and then type Option 1 (HR Shared Services Center), which will route you to EY’s Talent Shared Services Team or email SSC Customer Support at ssc.customersupport@ey.com.This particular position at Ernst & Young in the United States requires the qualified candidate to be a "United States worker" as defined by the U.S. Department of Labor regulations at 20 CFR 656.3. You can review this definition at https://www.gpo.gov/fdsys/pkg/CFR-2011-title20-vol3/pdf/CFR-2011-title20-vol3-sec656-3.pdf at the bottom of page 750. Please feel free to apply to other positions that do not require you to be a "U.S. worker".
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Other locations: Anywhere in Region
Date: Aug 22, 2024
Requisition ID: 1533776
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.
Forensics Discovery - Data Scientist Manager (Responsible AI)
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. 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. We’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
Forensics Discovery Data Scientist Manager (Responsible AI)
EY delivers unparalleled cross functional tech consulting and Forensics 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. Come help define the future of AI while adhering to ethical, compliance and regulatory requirements.
The opportunity
You will help our clients develop and realize their ambition to leverage AI at scale and drive better business outcomes. In addition, you will play a pivotal role for in helping our clients integrate ethical, fairness, transparency, and accountability considerations into their AI initiatives. You will have the opportunity to lead, stay abreast of AI technology trends, expand your knowledge of assurance, risk management and AI regulations while developing your skill set to keep up with the ever-growing demands of AI capabilities. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career.
Your key responsibilities
As a Data Scientist Manager (Responsible AI), you will be leading a team of junior team members working with a wide variety of clients to define, develop and operationalize their AI strategy, governance and assurance framework, Model Operations (ModelOps) architecture and other capabilities adhering to their internal enterprise level policies and procedures, regulatory compliance and security requirements.
Skills and attributes for success
Developing and executing a comprehensive AI Strategy that aligns with the client's goals, mission and vision and adheres to their enterprise policies and procedures and AI regulatory and compliance requirements
Collaborating with the Assurance Team to embed the risk framework into the end-to-end AI capabilities and model lifecycle management.
Staying abreast of AI technology trends and regulatory requirements while providing directional guidance and recommendations around ModelOps tools and solutions that fit their needs and integrate with their existing ecosystem
Applying combined business and technical knowledge to develop and execute ModelOps target architecture that enables implementation and monitoring of AI at scale as it aligns with Responsible AI guidelines
Collaborating with Data Scientists, Data Engineers, Cloud Engineers, MLOps Engineers, DevOps to implement and sustain ModelOps target architecture in client's platform of choice
Collaborating with clients to understand their business objectives and develop tailoredResponsibleAIstrategies aligned with their values and regulatory obligations
Designing and implementing ethical frameworks, guidelines, and policies to govern the development and deployment ofAIsystems, ensuring fairness, transparency, and accountability
Leading efforts to identify and mitigate biases inAIalgorithms and data, employing techniques such as fairness-aware machine learning and bias detection
Monitoring progress, managing risk and ensuring key stakeholders are kept informed about progress and expected outcomes
Understanding clients' overall data, AI and technology landscape, business priorities and success measures. Solving problems by incorporating data into decision making
Strong team collaboration and experience working with a diverse team in a hybrid model (on site and remote)
Fostering relationships with client personnel at appropriate levels. Consistently delivering quality client services. Driving high-quality work products within expected timeframes and on budget
Continuously evaluating opportunities for improving methods and outcomes
To qualify for the role you must have
Bachelor's degree, or MS degree in Business, Economics, Technology Entrepreneurship, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning
Minimum of 5-8 + years of professional consulting experience in business or technology consulting or similar roles
Proven experience inAIethics,responsibleAI, or related fields, with a strong understanding ofAItechnologies and their ethical implications
Strong data science and/or data engineering experience
Ability to stay updated with industry trends and AI regulatory requirements, and quickly adapt to new technologies.
Strong knowledge of AI technologies and frameworks
Communication and critical thinking are essential. Must be able to listen and understand the question and develop and deliver clear insights
Excellent analytical, problem-solving, and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders
Demonstrated leadership and project management experience, with the ability to lead multidisciplinary teams and drive successful outcomes
Independent and able to manage and prioritize workload
Ability to adapt quickly and positively to change
A valid driver's license in the US; willingness and ability to travel to meet client needs.
Team player
Ideally, you'll also have
Experience in leading business or IT transformation projects that have supported data science, business intelligence, artificial intelligence, and cloud applications at scale
Familiarity with regulatory frameworks and standards related toAIethics, privacy, and data protection
Certification in relevant areas such asAIethics, data ethics, orresponsibleAIis a plus
Working experience with Agile and/or Scrum methods of delivery
Working experience with design led thinking
Microsoft, AWS, ServiceNow, or Snowflake Certifications in the Data & AI domain
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 $124,300 to $227,900. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $149,200 to $259,000. 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 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
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EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.

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