eDiscovery Data Scientist | Technology Consulting

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.

- 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:

- 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.

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.

- 2+ years of practical, relevant experience building NLP/IR/ML systems, from ideation to production

- High level of analytical programming competency (e.g., Python, R)

- Hands-on development experiment with LLMs, deep learning NLP models and traditional ML techniques

- Applicants must be currently authorized to work in the United States on a full-time basis; this position does not provide visa sponsorship

- Experience with Elasticsearch, OpenSearch, or other Lucene technologies

- Experience with working in cloud architectures (AWS, Azure, etc.)