Specialist Data Scientist

Have you got what it takes

• Masters degree in the field of Computer Science, Technology, Engineering, Math, or equivalent practical experience
• Minimum of 8 years of data science work experience, including implementing machine learning and NLP models using real-life data.
• Experience with Retrieval-Augmented Generation (RAG) pipelines or LLMOps.
• Advanced knowledge of statistics and machine learning algorithms.
• Proficiency in Python programming and familiarity with R.
• Experience with deep learning models and libraries such as PyTorch, TensorFlow, and JAX.
• Familiarity with relational databases and query languages (eg, MSSQL) and basic SQL knowledge.
• Hands-on experience with transformer models (BERT, FlanT5, Llama, etc) and GenAI frameworks (HuggingFace, LangChain, Ollama, etc).
• Experience deploying NLP models in production environments, ensuring scalability and performance using AWS/GCP/Azure
• Strong verbal and written communication skills, including effective presentation abilities.
• Ability to work independently and as part of a team, demonstrating analytical thinking and problem-solving skills.

You will have an advantage if you also have:

• Expertise with Big Data technologies (eg, PySpark).
• Background in knowledge graphs, graph databases, or GraphRAG architectures.
• Understanding of multimodal models (text, audio, vision).
• Experience in Customer Experience domains.
• Experience with package development and technical writing.
• Familiarity with tools like Jira, Confluence, and source control packages and methodology.
• Knowledge and interest in foreign languages and linguistics.
• Experience working on international, globe-spanning teams and with AWS.
• Past participation in a formal research setting.
• Experience as part of a software organization.