Data and AI Engineer

We are looking for people who are resourceful, friendly, proactive, flexible, and able to work well with others in a global, connected consulting environment. Some of the day-to-day responsibilities of this role include: - Prepare, inspect, clean, reconstruct, and validate data from a wide range of sources, including structured datasets, documents, reports, exports, PDFs, scans, and other formats that may not have been created for analysis - Use Python, SQL, notebooks, version control, and related tools to build reproducible workflows, test assumptions, troubleshoot issues, and document how work was performed - Identify data limitations, quality issues, assumptions, blockers, and open questions early - Support applied analytics, machine learning, and AI-enabled workflows where they are useful to the problem - Contribute to workflows involving text extraction, classification, summarization, embeddings, retrieval-augmented generation, model evaluation, automation, visualization, or rapid prototyping - Use AI tools thoughtfully to accelerate learning and execution while maintaining responsibility for accuracy, confidentiality, defensibility, and quality - Support applied R&D by helping prototype, test, and evaluate new tools, methods, and workflows before they are adopted more broadly - Communicate progress, technical findings, assumptions, limitations, and trade-offs clearly to consultants, economists, technical peers, and other stakeholders - Participate in code review, collaborative problem solving, documentation, and iterative refinement of work products - Help turn lessons from project work and applied R&D into reusable team assets, examples, templates, documentation, and training materials You will not be expected to own full workstreams on day one, but you will be expected to learn quickly, take initiative, and stretch beyond a narrow technical lane.

THE CANDIDATE - 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 - Demonstrated interest in using AI tools, machine learning methods, or automation to solve practical problems, with willingness to learn how to evaluate those tools responsibly - Comfort working in ambiguous problem spaces where the task may need to be clarified, decomposed, and revised as new information emerges - 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 interest in strengthening applied judgment over time - 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 - Familiarity with cloud platforms such as Azure or comparable environments is helpful but not required - Ability to learn new tools quickly and use AI-assisted development responsibly without treating generated output as automatically correct - Strong written and verbal communication skills, including the ability to explain technical work, assumptions, limitations, and next steps clearly - Ability to manage multiple parallel workstreams in a fast-paced environment - Flexible mindset to adapt to changing project priorities and client needs Brattle offers a competitive benefits package, base salary, and bonus program for eligible roles based on individual and firm performance.

The anticipated base gross salary range for this position in Boston, MA is $105,000 - $115,000 annually. Actual salary will depend on a variety of factors, including experience and training. This position is not eligible for immigration sponsorship.

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. THE EMPLOYER The Brattle Group answers complex economic, finance, and regulatory questions for corporations, law firms, and governments around the world. We are distinguished by the clarity of our insights and the credibility of our experts, which include leading international academics and industry specialists.

Brattle has 500 talented professionals across North America, Europe, and Asia-Pacific. For more information, please visit brattle.com.