Mayer Brown · 1 day ago
Engineer: Data Science
US-IL-Chicago
Full-time
Hybrid
Entry, Mid Level
$124K/yr - $164K/yr
2+ years expMayer Brown is an international law firm positioned to represent the world’s major corporations, funds, and financial institutions in their most important and complex transactions and disputes. They are seeking an Engineer: Data Science who will be responsible for the design, development, and delivery of advanced analytics and AI solutions in support of the firm’s Data and AI strategy.
AdviceConsultingLegal
Responsibilities
Design, build, and deploy data science and AI solutions end-to-end, from design and development through testing, release, monitoring, and support
Operationalize models with CI/CD pipelines, automated testing, and monitoring, applying MLOps practices such as versioning, retraining, and drift detection (tools: MLflow, Azure ML, Databricks)
Leverage both open-source frameworks (LangChain, Hugging Face, etc.) and enterprise platforms (Azure OpenAI, Databricks, etc.) to deliver production ready, scalable AI solutions
Implement generative AI and advanced analytics features, including embeddings, retrieval-augmented generation, and building AI agents and chat-based solutions
Write clean, testable, and well-documented code using modern engineering practices (unit testing, code reviews, API development, Azure DevOps preferred)
Ensure solutions align with enterprise architecture, data governance, and security standards
Collaborate with enterprise architects, IT, and business stakeholders to validate approaches
Contribute to lifecycle management practices including model versioning, monitoring, and continuous improvement of delivery processes
Evaluate and pilot emerging technologies to improve scalability and solution quality
Qualification
Required
Bachelor's degree in Computer Science, Data Science or a related field required
2-4 years of hands-on experience delivering data science, machine learning, or AI solutions in production environments
AI/ML solution delivery: Experience developing, testing, and deploying complex, high-impact solutions into production, ensuring reliability and scalability
Cloud Platforms: Hands-on with Azure, AWS, or GCP; familiarity with Microsoft Fabric/Synapse, data lakehouse architectures, and containerization (Docker/Kubernetes)
Frameworks: Proficiency with modern AI and ML frameworks such as PyTorch, TensorFlow, LangChain, and enterprise AI platforms, such as Azure OpenAI Service
ML Ops practices: Strong understanding of CI/CD, model versioning, monitoring, retraining and lifecycle management using cloud-based tools
Generative AI: Applied experience with large language models (LLMs), embeddings, retrieval-augmented generation (RAG), and building AI agents or chat-based solutions
Data engineering alignment: Familiarity with data integration, ETL, and governance standards to ensure AI/ML solutions align with enterprise architecture
Proven ability to work under pressure and manage multiple priorities, meeting deadlines in a fast-paced environment with shifting priorities
Strong written and verbal communication skills, with the ability to communicate effectively and professionally at all levels of the firm, including senior leadership, technical teams, and external vendors
Ability to work in a diverse, cross-functional team environment, effectively supporting the demanding needs of a global law firm
Must be a self-starter, demonstrating a high level of initiative in problem-solving, process improvement, and driving data management best practices
Strong customer service orientation, anticipating stakeholder needs, proactively addressing concerns, and exercising independent judgment
Exceptional attention to detail and organizational skills, ensuring accuracy in documentation, data integrity, and process adherence across multiple projects
Demonstrates strong strategic thinking and problem-solving skills, analyzing complex data challenges and developing structured, actionable solutions
Ability to present complex data concepts to nontechnical stakeholders, translating technical information into clear, business-friendly insights
Collaborate effectively across departments and organizational levels, ensuring alignment between business needs, IT capabilities, and governance policies
Strong analytical and problem-solving skills with a focus on delivering business value through data-driven solutions to enhance reporting, data governance, and decision making
Preferred
Master's degree in Computer Science, Data Science or a related field preferred
Law firm or professional services industry experience a plus, but not required
Microsoft Certified: Azure AI Engineer Associate, Azure Data Scientist Associate (preferred)
Databricks Certified or equivalent cloud ML platform certification (preferred)
Hands-on with Azure (preferred)
Benefits
Medical/dental/vision/life/and AD&D insurance
401(k) savings plan
Back-up childcare and eldercare
Generous paid time off (PTO)
Opportunities for professional development and growth
Company
Mayer Brown
Mayer Brown is a leading global law firm with offices in key business centers across the Americas, Asia and Europe.
1001-5000 employees
H1B Sponsorship
Mayer Brown 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 (16)
2024 (24)
2023 (13)
2022 (10)
2021 (9)
2020 (15)
Funding
Current Stage
Late StageLeadership Team
Blaise Latella
Partner
Jean-Philippe Montfort
Partner
Recent News
globallegalchronicle.com
2025-11-07
2025-11-06
Company data provided by crunchbase