Senior Data Scientist II

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.

About the Role :

• As a data scientist on our team, you will work on new product development in a small team environment writing production code in both run-time and build-time environments. 
• You will help propose and build data-driven solutions for high-value customer problems by discovering, extracting, and modeling knowledge from large-scale natural language datasets including matter and contract repository, invoice/legal spend data and work management. 
• You will prototype new ideas, collaborating with other data scientists as well as product designers, data engineers, front-end developers, and a team of expert legal data annotators.
• You will get the experience of working in a start-up culture with the large datasets and many other resources of an established company.
• We are committed to advancing gender diversity within the technology sector and supporting greater representation of women in tech. To further this commitment,

Responsibilities:

• Develop and implement LLM-based applications tailored for legal use-cases 
• Evaluate and help maintain our data assets and training/evaluation data sets 
• Design and build pipelines for preprocessing, annotating, and managing legal document datasets 
• Collaborate with legal experts to understand requirements and ensure ML-applications meet domain-specific needs 
• Conduct experiments and evaluate model performance to drive continuous improvements 
• Fine-tune and deploy large language models to enhance their performance on legal text processing tasks 
• Interface with other technical personnel or team members to finalize requirements. 
• Work closely with other development team members to understand complex product requirements and translate them into software designs. 
• Successfully implement development processes, coding best practices, and code reviews for production environments.

Requirements: 

• Able to work in person 2 days per week 
• Bilingual English and Spanish 
• Practical experience with large language models, prompt engineering, fine-tuning RAG-based applications and benchmarking, using frameworks such as LangChain 
• MS in Data Science, Computer Science, Statistics, Machine Learning, or relevant work experience 
• Practical experience in Natural Language Processing methods and libraries such as spaCy, word2vec, Flair, BERT (ways to vectorize text data) 
• Formal training in machine learning: dimensionality reduction, clustering, embeddings, and sequence classification algorithms 
• Strong Python background 
• Knowledge of AWS, GCP, Azure, or other cloud platform 
• Understanding of data modeling principles and complex data models. 
• Proficiency with relational and NoSQL databases as well as vector stores (e.g., MySQL, Postgres, Solr, Elasticsearch/OpenSearch)
• Knowledge of Spark-Scala, Ray or other distributed computing systems highly preferred 
• Knowledge of API development, containerization, and machine learning deployment highly preferred 
• Experience with ML Ops/AI Ops including experiment tracking tools like LangFuse and DVC 
• Experience with deep learning frameworks such as PyTorch, Tensorflow and Hugging Face Transformers Work in a way that works for you We promote a healthy work/life balance across the organization.
• We offer an appealing working prospect for our people. 
• With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate.
• Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.