About Us
Ascent has recently been acquired by Acuity Analytics. This is both a significant milestone for us and a tremendous opportunity for you. Acuity Analytics is a business with a strong global reputation, an impressive client base and ambitious growth plans. We deliver deep insights and domain-led digital transformation to high-growth and heavily regulated organisations. To our customers, we bring a partnership that provides the talent, technology and capability to enhance performance and operational efficiency.
About the Role
Join our rapidly growing Data Practice as we build cutting-edge Generative AI solutions for clients across industries. In this role, you’ll work hands-on with multi-disciplinary teams to design, prototype, and deliver AI solutions that tackle real business challenges.
You’ll collaborate closely with clients, taking them on the journey from early adoption to full-scale deployment, blending technical expertise with a strong consultative approach.
We’re looking for someone with deep experience in NLP and Generative AI (including RAG), who can combine critical thinking, creativity, and technical skill to solve complex problems. You’ll act as a trusted advisor, translating technical possibilities into business impact while building strong client relationships based on credibility and empathy.
Skills and Experience Required
Proven experience in LLM / Generative AI and RAG projects, ideally in a leadership or senior delivery role.
4+ years in a data science or related role, with hands-on NLP experience.
Fluent in Python, capable of rapidly prototyping solutions and delivering production-ready code.
Familiarity with Azure data services and cloud-based AI infrastructure.
Knowledge of best practices in model tuning, drift monitoring, and optimization.
Strong consulting and stakeholder management skills; able to break down complex business problems and propose clear technical solutions.
- Experience using FastAPI or other API frameworks is desirable.
What You Will Do
Collaborate with clients to understand business needs and identify where Generative AI can add value.
Lead prompt engineering and chain-of-thought reasoning to build LLM-based solutions.
Implement Retrieval-Augmented Generation (RAG) solutions, optimizing chunking, metadata, and retrieval processes.
Ensure all solutions follow Responsible AI principles.
Rapidly develop demos to showcase the potential of Generative AI.
Contribute to the development of internal GenAI methodologies, frameworks, and accelerators.
Be an active member of our Data Science and Generative AI communities, helping to evolve capabilities and share knowledge across the organization.
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