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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # eDiscovery Data Scientist | Technology Consulting - **Company:** FTI Consulting - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $101,500.0 - $142,000.0 - **Contract:** Permanent contract - **Skills:** .NET Framework, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Apache Lucene, Information Technology Consulting, Query Languages, Elasticsearch, Python (Programming Language), Machine Learning, Named Entity Recognition, Search Technologies, Software Engineering, Cloud Platform System, Large Language Models, Deep Learning, Generative AI, Kubernetes, Machine Learning Operations, Docker - **Published:** July 31, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=abb63257e42fa454 ## About the Role * 2+ 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, OpenSearch, 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 role ## Description 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: + summarization + classification + entity 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. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [The Fastest-Growing Tech Sectors to Look Out for in 2025](https://www.wearedevelopers.com/magazine/373-the-fastest-growing-tech-sectors-to-look-out-for-in-2025) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)