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About the Role
The Data & AI Engineer role is an early-career position focused on hands-on technical work across client delivery, applied R&D, and internal capability-building. This role is designed for candidates who are strong builders, fast learners, and clear communicators, seeking to develop technical judgment in a dynamic consulting environment. The position involves working across data engineering, applied analytics, machine learning, and AI-enabled workflows, staying close to implementation while understanding the impact of technical choices on client work.
Responsibilities
- Prepare, inspect, clean, reconstruct, and validate data from diverse sources including structured datasets, documents, reports, exports, PDFs, and scans.
- Build reproducible workflows using Python, SQL, notebooks, and version control to test assumptions, troubleshoot issues, and document processes.
- Identify data limitations, quality issues, assumptions, blockers, and open questions early in the process.
- Support applied analytics, machine learning, and AI-enabled workflows.
- Contribute to workflows involving text extraction, classification, summarization, embeddings, retrieval-augmented generation, model evaluation, automation, and visualization.
- Utilize AI tools to accelerate learning and execution while ensuring accuracy, confidentiality, defensibility, and quality.
- Support applied R&D by prototyping, testing, and evaluating new tools, methods, and workflows.
- Communicate progress, technical findings, assumptions, limitations, and trade-offs to consultants, economists, technical peers, and stakeholders.
- Participate in code review, collaborative problem solving, documentation, and iterative refinement of work products.
- Transform lessons from project work and R&D into reusable team assets, examples, templates, documentation, and training materials.
- Learn quickly, take initiative, and stretch beyond a narrow technical lane.
Requirements
- Bachelor’s degree in Computer Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Economics with strong technical coursework, or a related field.
- Equivalent hands-on technical experience, internships, research work, or project-based experience may also be considered.
- 0-3 years of professional experience in data engineering, analytics, applied AI, machine learning, software development, research, or related technical work.
- Must be available to begin full-time employment in July 2027.
- Hands-on experience building at least one working AI-enabled application, tool, or automated workflow through coursework, research, an internship, a capstone, or an independent project.
- Ability to explain the problem addressed, individual contribution, technologies used, and how the solution’s performance and limitations were evaluated.
- Comfort working in ambiguous problem spaces where tasks may need clarification, decomposition, and revision.
- Strong foundation in Python for data analysis, scripting, automation, or prototyping, with exposure to libraries such as pandas, NumPy, scikit-learn, or comparable tools.
- Working knowledge of SQL and relational data concepts, including joins, aggregation, filtering, and practical data exploration.
- Foundational understanding of statistics, data analysis, machine learning, or experimental evaluation, with an interest in strengthening applied judgment.
- Exposure to generative AI workflows, such as prompt design, embeddings, vector search, retrieval-augmented generation, summarization, classification, or model evaluation.
- Ability to work with structured, semi-structured, and unstructured data, including text-heavy documents or heterogeneous data sources.
- Familiarity with software development practices such as Git, notebooks, code review, documentation, testing, and reproducible workflows.
- Ability to learn new tools quickly and use AI-assisted development responsibly.
- Strong written and verbal communication skills, including the ability to clearly explain technical work, assumptions, limitations, and next steps.
- Ability to manage multiple parallel workstreams in a fast-paced environment.
- Flexible mindset to adapt to changing project priorities and client needs.
- This position is not eligible for immigration sponsorship.
Skills
- Python
- SQL
- Notebooks
- Version control
- Data analysis
- Scripting
- Automation
- Prototyping
- Pandas
- NumPy
- Scikit-learn
- Relational data concepts
- Statistics
- Machine learning
- Experimental evaluation
- Generative AI workflows
- Prompt design
- Embeddings
- Vector search
- Retrieval-augmented generation
- Summarization
- Classification
- Model evaluation
- Text extraction
- Git
- Code review
- Documentation
- Testing
- Reproducible workflows
- Cloud platforms (Azure or comparable)
Location
- San Francisco, CA
Work Type
- Full-time
Experience Level
- Early-career
- 0-3 years
Education Level
- Bachelor’s degree in Computer Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Economics with strong technical coursework, or a related field
- Equivalent hands-on technical experience, internships, research work, or project-based experience
Salary/Compensations
- $100,000 - $126,000 annually
Benefits
- Competitive benefits package
- Base salary
- Bonus program for eligible roles based on individual and firm performance
About the Company
- The Brattle Group answers complex economic, finance, and regulatory questions for corporations, law firms, and governments worldwide.
- Distinguished by the clarity of insights and credibility of experts, including leading international academics and industry specialists.
- Has 500 talented professionals across North America, Europe, and Asia-Pacific.
- For more information, please visit brattle.com.
Equal Opportunity
- The Brattle Group is an Equal Opportunity Employer.
- All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, citizenship status, national origin, ancestry, sex, gender identity and expression, age, height, weight, domestic partner status, Acquired Immune Deficiency Syndrome or HIV status (AIDS/HIV status), genetic information, sexual orientation, disability (where the applicant or employee is qualified to perform the essential functions of the job with or without reasonable accommodation), marital status, veteran status, political affiliation, drug or alcohol abuse or alcoholism, or any other characteristic protected under applicable law.
- We encourage all applicants to click here to review our full Equal Employer Opportunity Statement.