Offer summary

Qualifications:

Proven experience in Natural Language Processing and Large Language Models., Strong background in data science and AI methodologies., Ability to communicate complex technical concepts to diverse audiences., Experience in collaborating with cross-functional teams to develop data solutions..

Key responsabilities:

Design and implement advanced NLP solutions to address business challenges.

Collaborate with teams to develop scalable AI products tailored to client needs.

Lead research initiatives on emerging AI trends and methodologies.

Engage with clients to explore LLMs and RAG applications for their business.

Job description

About Us
At dss+, we are not just your average global operations consulting firm. We are a Purpose-driven company that exists to save lives and create a sustainable future – for our clients, employees and communities. In pursuit of this Purpose, we put people at the center of everything we do, and we are a consultancy with heart.

The Role
We are seeking a Senior Data Science Consultant with a focus on Natural Language Processing, Large Language Models, and Retrieval-Augmented Generation. This is an exceptional opportunity to lead cutting-edge AI-driven initiatives that redefine how businesses interact with and derive insights from their data.

Key Responsibilities

AI & NLP Strategy and Implementation:
- Design and implement advanced NLP solutions leveraging LLMs and RAG frameworks to solve complex business challenges.
- Identify opportunities to enhance decision-making processes through data science innovations.
Product and Solution Development:
- Collaborate with cross-functional teams to develop scalable data solutions and AI products tailored to client needs.
- Guide the integration of NLP and LLM capabilities into enterprise platforms for real-world applications.
Research and Development:
- Lead research initiatives to evaluate emerging AI trends, tools, and methodologies.
- Stay updated on advancements in machine learning, focusing on LLMs and their application to unstructured data.
Client Collaboration and Support:
- Collaborate with clients to explore the potential of LLMs and RAG in addressing their business challenges.
- Communicate technical concepts and provide strategic recommendations tailored to both technical and non-technical stakeholders.