Data Scientist (Generative AI, LLM)

Role: Data Scientist (Generative AI, LLM) Location: Mexico/Argentina (Remote)

Responsibilities ● As a Data Scientist on the Data Science team, you will develop machine learning, NLP and Generative AI solutions focused on conversational analytics and large language models. ● Design, develop, test and optimise prompts for Large Language Models (LLMs) using conversational datasets. ● Support prompt training and evaluation activities to improve accuracy, relevance and consistency of AI-driven outputs. ● Create scalable data pipelines for ingestion, transformation, sampling and processing of conversational and unstructured text data. ● Develop sampling methodologies for high-volume conversational datasets, including sampling within conversations and across conversations. ● Prepare and process conversational data for use in Athena Studio and related analytics workflows. ● Apply NLP and machine learning techniques for text understanding, classification, summarisation, pattern recognition and conversational insights. ● Run data science analyses and experiments independently while collaborating with engineering, analytics and product teams. ● Communicate technical methods, results and recommendations clearly to both technical and non-technical stakeholders.

Minimum Qualifications ● Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics or related technical discipline, or equivalent practical experience. ● 5+ years of relevant work experience in Data Science, Machine Learning, Artificial Intelligence, NLP or analytics engineering. ● Hands-on experience with Prompt Engineering and Large Language Models (LLMs). ● Experience creating data pipelines, ETL/ELT workflows or data processing pipelines for structured and unstructured datasets. ● Experience working with conversational data, text analytics, customer interaction data or other large-scale unstructured data sources. ● Demonstrated proficiency in Python and SQL. ● Working knowledge of packages and frameworks associated with data wrangling, analysis and machine learning, such as Pandas, NumPy, Scikit-learn, SpaCy, TensorFlow, PyTorch, LangChain or LangGraph.

Preferred Qualifications ● MS degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science or related technical discipline. ● Experience using Athena Studio and AWS Athena for analytics or data processing workflows. ● Experience with prompt training, prompt evaluation, LLM evaluation frameworks or fine-tuning concepts. ● Experience in one or more of the following areas: Natural Language Processing for text understanding, classification, summarisation, recommendation/ranking systems or conversational analytics. ● Experience with cloud data and machine learning platforms such as AWS S3, AWS Glue, SageMaker, Databricks, Vertex AI or Kubeflow. ● Experience with embeddings, semantic search, vector databases, RAG patterns or representation learning for unstructured data. ● Strong communication skills, especially in describing technical methods and results to both technical and non-technical audiences. ● Ability to collaborate effectively with geographically distributed teams across near-shore and offshore locations.