AI & Machine Learning Engineering Consultant - Life Sciences Sector - Senior - Consulting

Location: Anywhere in Country The opportunity 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. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast‑paced environment and the opportunity to develop your own career path for your unique skills and ambitions. Additionally, you will engage with life sciences stakeholders to understand their unique challenges and tailor AI solutions accordingly. Your key responsibilities In this role, you will contribute significantly to the delivery of innovative AI solutions. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your 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 guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients. Researching and implementing scalable AI systems that meet business requirements. Enhancing data pipelines and storage for optimal data accuracy and cleanliness. Monitoring and optimizing learning processes to improve high‑performance models. Developing AI and data engineering solutions for life sciences by understanding sector‑specific datasets such as commercial, clinical, and R&D data, and aligning technical approaches to these needs. This position may have travel requirements as needed to engage with external clients regularly. Skills and attributes for success To excel in this role, you will need a blend of technical expertise and interpersonal skills. Your ability to navigate complex challenges and deliver impactful solutions will be essential. This role will work to deliver tech at speed, innovate at scale and put humans at the centre. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgement‑al and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services. Hands‑on experience implementing AI/ML pipelines that support drug discovery and development, covering data ingestion/curation, model training/validation, and deployment in compliant environments. Strong analytical and decision‑making skills to guide project direction. Proven experience in project management and tracking deliverable completion. Ability to build and maintain relationships with clients and team members. Excellent communication skills to convey complex ideas effectively. To qualify for the role, you must have A Bachelor’s degree required (4‑year degree). 3‑6 years of full‑time working experience in AI and/or Machine Learning Strong skills in Python Ability to collaborate and communicate effectively with diverse, hybrid and global teams Experience designing, building, and maintaining high‑impact, high‑value production AI/ML solutions on a major cloud platform Proficient in Generative AI models and frameworks (e.g., OpenAI, Dall‑e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit‑learn and PyTorch Experience with natural language processing and deep learning Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions Experience with MLOps and ML workflows, including data ingestion, transformation, and evaluation Experience with model retraining and feedback loop methodologies Experience with model and solution monitoring and reporting Understanding of data structures, data modelling, and software engineering best practices Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques Familiarity with the types of data used across pharmaceutical commercial, clinical, and R&D functions, along with an understanding of the key standards that help these datasets work together Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements Ideally, you’ll also have Master's degree in Computer Science, Mathematics, Physical Sciences, or another quantitative field Experience in hybrid collaboration and emotional agility A track record of working with diverse teams to drive outcomes through complex problem‑solving Knowledge of sustainability practices in technology A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them Strong skills in languages beyond Python: R, JavaScript, Java, C++, C Experience fine‑tuning Generative AI models Experience with image processing techniques and/or speech and audio processing and analysis Awareness of trends and new technologies shaping the pharmaceutical and life sciences space, and an interest in applying them in practical, data‑focused solutions What we look for We seek individuals who are not only technically proficient but also possess the qualities of a top performer. You should be innovative, adaptable, and purpose driven by a desire to make a significant impact in the field of artificial intelligence. Your ability to collaborate effectively and communicate with clarity will set you apart as a leader in our team. What we offer you At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more. 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 $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. 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. Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an ongoing basis. Equal Employment Opportunity Statement EY provides 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 View email address on click.appcast.io. #J-18808-Ljbffr Ernst & Young Oman