EDiscovery Data Scientist | Technology Consulting
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-09-15
Listing for:
FTI Consulting, Inc.
Full Time
position Listed on 2026-09-15
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
At FTI Consulting, you’ll work side-by side with leaders who have shaped history, helping solve the biggest challenges making headlines today. From day one, you’ll be an integral part of a focused team where you can make a real impact. You’ll be surrounded by an open, collaborative culture that embraces diversity, recognition, professional development and, most importantly, you.
Are you ready to make your impact?
About the Role The eDiscovery Innovation Team at FTI Consulting is expanding rapidly as we make key investments in applying Generative AI and Machine Learning to some of the world’s biggest disputes, investigations, and litigations.
Applied Scientists should have a pragmatic approach to problem-solving and be capable of developing end-to-end solutions that clients can rely on in production. They should be capable of challenging their own work and finding a balance between perfection and practicality.
What You’ll Do Prototype, validate, and implement AI/ML solutions on diverse and constantly evolving client datasets
Apply the latest LLMs in Azure OpenAI and AWS Bedrock to tasks like:summarizationclassificationentity extraction text-to-query language generation
Develop RAG pipelines, semantic search, and hybrid search
Create and implement new metrics, evaluation pipelines, and internal training/test datasets
Survey, test, and critique use of emerging technologies to enhance existing solutions and develop new capabilities.
Share your work with clients and colleagues and to both technical and non-technical audiences. You will help lead the way in the adoption of AI across the enterprise.
Build industry expertise and become a contributor in deploying our solutions into client architectures.
How You’ll Grow We are committed to investing and supporting you in your professional development and we have developed a range of programs focused on fostering leadership, growth and development opportunities. We aim to promote continuous learning and individual skills development through on-the-job learning, self-guided professional development courses and certifications. You’ll be assigned a dedicated coach to mentor, guide and support you through regular coaching sessions and serve as an advocate for your professional growth.
As you progress through your career at FTI Consulting, we offer tailored programs for critical professional milestones to ensure you are prepared and empowered to take on your next role.
What You’ll Need to Succeed Basic Qualifications2+ years of practical, relevant experience building NLP/IR/ML systems, from ideation to production
Bachelor’s degree or relevant experience
High level of analytical programming competency (e.g., Python, R)
Hands-on development experiment with LLMs, deep learning NLP models and traditional ML techniques
Ability to travel to clients and FTI office(s) as needed
Applicants must be currently authorized to work in the United States on a full-time basis; this position does not provide visa sponsorship
Preferred Qualifications
Experience with Elasticsearch, Open Search, or other Lucene technologies
Experience with C# and .NET Experience with Docker and an understanding of Kubernetes Solid software engineering skills for prototyping
Experience with working in cloud architectures (AWS, Azure, etc.)Experience in a customer-facing roleFTI Consulting is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation.
Compensation Minimum Pay: $101,500
Maximum Pay: $142,000
Compensation Disclosure:
The compensation range reflects potential base salary for the role. Actual compensation is determined based on a wide array of relevant factors including market considerations, business needs, and an individual’s location, skills, level of experience, and qualifications.
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