Senior GenAI NLP Scientist for Conversational AI

Danske Bank; København; Hybrid; DKK 900,000 - 1,200,000; Full time

Job summary

Danske Bank seeks a Senior Data Scientist GenAI to lead language-driven solutions in its Conversational AI unit. You will enhance AI assistants with actionable flows, implement Retrieval-Augmented Generation, and co-design multi-agent orchestrations for self-service support.

You will collaborate with ML engineers, data engineers and product teams to deploy models in production using Python, Docker, Kubernetes and cloud platforms while advancing evaluation metrics and research-driven

Qualifications

• 5+ years of experience in data science or ML with a strong NLP focus.
• Hands-on experience with GenAI frameworks and tooling such as LangChain, LlamaIndex, OpenAI APIs and Hugging Face.
• Proven experience building and deploying RAG architectures in production with vector-based retrieval.
• Strength in evaluation metrics for NLP (BLEU, ROUGE, F1, exact match) and model risk awareness.
• Ability to mentor junior team members and share best practices in MLOps.

Responsibilities

• Design, develop and optimize advanced NLP/GenAI solutions using LLMs.
• Expand and implement RAG pipelines with vector databases and embeddings.
• Collaborate with ML/Data Engineers and product teams to deploy models in production using Docker, Kubernetes and cloud platforms.
• Drive experiments, A/B testing and evaluation strategies to improve latency and accuracy.
• Stay current with research trends in LLMs and prompt engineering; mentor team members.

Skills

NLP expertise

GenAI / LLMs

Python

Strong communication

Mentoring

Tools

LangChain

LlamaIndex

OpenAI APIs

Hugging Face

PyTorch

Docker

Kubernetes

Databricks

FAISS

Pinecone

Job description

Danske Bank seeks a Senior Data Scientist GenAI to lead language-driven solutions in its Conversational AI unit. You will enhance AI assistants with actionable flows, implement Retrieval-Augmented Generation, and co-design multi-agent orchestrations for self-service support.

You will collaborate with ML engineers, data engineers and product teams to deploy models in production using Python, Docker, Kubernetes and cloud platforms while advancing evaluation metrics and research-driven