Data Scientist | LLM |NLP |RAG

about the company

Our client is a leading multinational technology and connectivity firm currently scaling its AI and advanced intelligence capabilities. They are building a high-agility, innovation-driven environment focused on leveraging data to unlock business growth and human potential.

about the role

Join a specialized analytics unit to architect AI solutions that transform unstructured interaction data into strategic assets. You will analyze transcripts and behavioral logs to optimize operations, enhance customer understanding, and drive revenue.

• Lead end-to-end initiatives, translating business needs from CX and Sales teams into scalable LLM/RAG pipelines.
• Build and deploy LLM-based models with a focus on prompt governance, observability, and performance monitoring.
• Behavioral Insights: Identify friction points and root causes of attrition by analyzing service and sales interactions
• Experimentation: Conduct deep data exploration and A/B testing to validate hypotheses and refine interaction strategies.

skills and experience

• Bachelor's or Postgraduate degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics),
• Minimum of 3 years of relevant professional experience.
• Proven experience developing AI/ML solutions using unstructured data, Large Language Models (LLMs), Natural Language Processing (NLP), or conversation analytics
• Hands-on experience with fine-tuning, evaluating, and deploying LLMs (e.g., GPT, LLAMA), prompt engineering, RAG architecture, prompt governance, and model observability.
• NLP & Text Mining: Proficiency with intent classification, topic modeling, summarization, sentiment analysis, and embeddings-based retrieval techniques.
• Statistical Modelling: Strong skills in supervised/unsupervised learning, experimentation design (A/B testing), clustering, and causal inference.

To apply online please use the 'apply' function, alternatively you may contact Evangeline.

(EA: 94C3609/ R24124002 )