What are the responsibilities and job description for the Senior Data Scientist II - Agentic AI position at WhiteCrow Research?
About WhiteCrow
We are global talent research, insight, and sourcing specialists with offices in the UK, USA, Singapore, Malaysia, Hong Kong, Dubai, and India. Our international reach has helped us to understand and penetrate specialist markets at a global level. In addition to this, our service is also extended to complement our client’s in-house talent acquisition teams.
About our client
Our client is a leading global provider of legal, regulatory and business information and analytics that help customers increase productivity, improve decision-making and outcomes, and advance the rule of law around the world.
They help lawyers win cases, manage their work more efficiently, serve their clients better and grow their practices. They assist corporations in better understanding their markets, monitoring their brands and competition, and in mitigating business risk. They collaborate with universities to educate students, and support nation-building with governments and courts by making laws accessible and strengthening legal infrastructures. They partner with leading global associations and customers to collect evidence against war criminals and provide tools to combat human trafficking.
As a Senior Data Scientist II - Agentic AI, you will be responsible for...
- Developing and implementing NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).
- Defining agentic workflows and reasoning strategies for multi-step legal tasks.
- Developing retrieval strategies, including hybrid search (semantic lexical), and evaluation metrics (e.g., relevance, ranking quality).
- Analyzing large-scale legal datasets to extract insights and improve model performance.
- Establishing best practices for model evaluation, validation, and benchmarking.
- Translating experimental results into clear product recommendations and business impact.
- Collaborating with product, legal experts, and engineers to align solutions with user needs.
- Mentoring team members and provide technical leadership in data science and AI.
What you already have...
- Education: Master’s degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.).
- Strong experience in machine learning, NLP, and LLM-based modeling.
- Strong experience designing and running experiments, including model evaluation and iteration.
- Experience with generative AI techniques (e.g., prompt engineering, RAG).
- Experience designing and evaluating hybrid search (semantic lexical) using embeddings and vector databases.
- Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.
- Proficiency in Python and data analysis tools.
- Strong foundation in statistics, modeling, and large-scale text processing.