Data and AI Engineer

The Brattle Group a privately held global economics consulting firm is looking for a Data and AI Engineer to join our Boston MA office.

The Data & AI Engineer is an early-career role within Brattles Data & AI Engineering team 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 and who want to develop technical judgment in a setting where problems are varied ambiguous and often time-sensitive.

This is not a narrowly defined pipeline role or a heads-down engineering track. Data & AI Engineers work across data engineering applied analytics machine learning and AI-enabled workflows staying close to implementation while learning how technical choices affect real client work.

Candidates are not expected to arrive as experts across data engineering solution architecture and applied AI research. They are expected to be hands-on curious coachable and comfortable learning quickly.

Where This Role Sits at Brattle:

The Data & AI Engineering team is a specialized technical group embedded within Brattles consulting staff. The team supports client work while also serving as an applied R&D function for the firm: researching emerging technologies prototyping new analytical and AI-enabled workflows and translating useful methods into reusable capabilities.

The team partners with economists consultants industry experts and internal stakeholders to improve how the firm works with data analytics machine learning and AI through project delivery reusable tools documentation training and knowledge-sharing.

Data & AI Engineers work under the guidance of more experienced technical leads including Senior Data & AI Engineers Solutions Architects and Research Engineers. As experience grows the role can develop toward deeper execution ownership increased responsibility for solution design more advanced AI and research work or some combination of those paths.

Nature of the Work:

Data & AI Engineers work on problems where the technical path is often unclear the data is imperfect and the constraints are real. Source materials may be incomplete inconsistent degraded through prior systems or difficult to interpret. Some matters also involve restricted or confidential workflows that shape how data can be accessed handled or shared.

The role requires practical judgment. There may be multiple valid approaches each with trade-offs and limited ability to go back to the source for clarification. Data & AI Engineers are expected to reason carefully from imperfect inputs document assumptions surface limitations and help build solutions that are defensible reproducible timely and fit for purpose.

Project timelines may shift quickly based on external events negotiations litigation deadlines or client needs. Some work is recurring and operational; some is one-off or exploratory. The right candidate is a resourceful practical builder: someone who can stay organized adapt to changing constraints and make progress without losing rigor or composure.

The team environment is academic collegial grounded and highly collaborative. We value curiosity humility initiative clear communication and practical intelligence. The work can be technically advanced but the culture is not ego-driven. 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

• Bachelors 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 $105000 - $115000 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 .