Senior Data Scientist III - AI Evaluation and Prompt Engineering

## .Within Lexis Nexis,
** Intelligize
* * focuses on empowering legal, compliance, and corporate professionals through advanced access to
** SEC filings and corporate disclosure data**. We’re a trusted partner for top law firms, corporations, and regulators seeking clarity and insight from complex financial and legal information.

We’re looking for a curious, creative, and practical Data Scientist who will focus on AI Evaluation and Prompt Engineering to help drive our next generation of AI-powered legal research tools. This role focuses on applying data science techniques to evaluate and improve large language model (LLM) systems, build data-driven insights, and shape our product roadmap.
* Comfort working with
** document-based datasets** (e.g., text corpora, metadata, embeddings) and understanding information retrieval / semantic search concepts.
* Excellent written and verbal communication skills — able to present complex ideas simply and persuasively across distributed teams.
* Proven ability to
** self-direct**, learn new tools and concepts quickly, and apply them pragmatically.
* Strong sense of curiosity, patience, and collaboration — especially in working across different disciplines and cultures.
3–6 years of experience in
** data science, applied NLP, or AI product analytics**, preferably within a SaaS or research-heavy product environment.

Strong proficiency in
** Python
* * and data analysis libraries such as
** Pandas**; solid working knowledge of
** SQL**.Ability to design and evaluate
** LLM-based systems** (e.g., RAG pipelines, prompt evaluations, output scoring), even if not specialized in deep learning.

Experience with
** data exploration, experimentation, and reporting** — from defining metrics to visualizing and interpreting results.
* Prior exposure to
** legal, financial, or corporate document datasets**.
* Experience mentoring or informally guiding junior technical teammates.

Familiarity with tools like
** Lang Chain**,
** OpenAI API**,
** Databricks**, or similar LLM/AI development environments.

Experience designing
** evaluation frameworks
** or
** product analytics systems
** for AI-driven products.
** Retirement plan
** with inclusive risk benefits (disability, critical illness, life cover, and funeral cover)
** Modern family benefits**, including adoption, surrogacy, and parental leave
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