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AI & Machine Learning Engineering Consultant - Life Sciences Sector - Manager - Consulting jobs in United States
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EY · 10 hours ago

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

EY is a globally connected powerhouse of diverse teams committed to building a better working world. They are seeking an AI & Machine Learning Engineering Consultant to lead the delivery of innovative AI solutions tailored to the life sciences sector, engaging directly with clients to address their unique challenges.
AccountingAdviceBusiness IntelligenceConsultingFinancial ServicesProfessional Services
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Leading workstream delivery and ensuring the effective management of processes and projects
Continuously improving processes by identifying innovative solutions through research and analysis
Managing professional employees and supervising teams to deliver complex technical initiatives, with accountability for performance and results
Engaging actively with clients, participating in daily working sessions, and leading workstreams from planning through execution to closure
Identifying and developing new business opportunities within the life sciences domain
Collaborating with life sciences professionals to tailor AI solutions that enhance commercial and patient outcomes and streamline clinical workflows
Identifying opportunities for additional services and managing engagement economics

Qualification

AI solutionsMachine LearningData ScienceCloud platformsPythonGenerative AINatural Language ProcessingDeep LearningDevOps toolsMLOpsData manipulationTechnical Design OptimizationClient trustDigital fluencyCommercial acumenRelationship-buildingNegotiation skillsTeam leadership

Required

A Bachelor's degree required (4-year degree)
6-10 years of relevant experience of full-time working experience in AI, Data Science, and/or Machine Learning
2-4 years of experience directly managing technical teams
Strong skills in Python
Ability lead, 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
Experience with life science commercial operations data standards and interoperability protocols
Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements
Skills in Technical Design Optimization
Strong relationship-building skills
Demonstrated client trust and value
Digital fluency and emotional agility
Commercial acumen and negotiation skills
Proven ability to lead teams and manage change

Preferred

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
Experience working with diverse teams to deliver complex solutions
Strong skills in languages beyond Python: R, JavaScript, Java, C++, C
Experience fine-tuning Generative AI models
Experience in managing complex projects with multiple stakeholders
A strong understanding of industry trends and emerging technologies in life sciences
Skills in data visualization and storytelling with data
Experience with image processing techniques and/or speech and audio processing and analysis

Benefits

Medical and dental coverage
Pension and 401(k) plans
Wide range of paid time off options
Flexible vacation policy
Designated EY Paid Holidays
Winter/Summer breaks
Personal/Family Care
Other leaves of absence when needed to support your physical, financial, and emotional well-being

Company

EY is building a better working world by creating new value for clients, people, society, the planet, while building trust in the capital markets.

H1B Sponsorship

EY has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (10242)
2024 (9877)
2023 (10966)
2022 (9394)
2021 (5652)
2020 (8849)

Funding

Current Stage
Late Stage

Leadership Team

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Jonathan Williamson
Chief Operating Officer
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Abhishek Sen
Partner
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Company data provided by crunchbase