Data Scientist - NLP/Generative AI
First seen by Alion on Oct 29, 2026.
Key Responsibilities:
- Design, develop, and deploy AI-powered solutions leveraging Machine Learning, NLP, Generative AI, RAG, and Agentic AI techniques.
- Translate business problems into prototypes, MVPs, and scalable production-ready solutions.
- Develop reusable AI frameworks, components, and accelerators that enable adoption across products and teams.
- Apply an AI-first mindset to identify opportunities for intelligent automation, workflow optimization, and business value creation.
- Partner with Product, Engineering, Content, and Business teams to deliver impactful customer outcomes.
- Drive delivery through agile ways of working, balancing experimentation, speed, and engineering quality.
- Communicate insights, innovation outcomes, and business impact through effective data storytelling and stakeholder engagement.
- Mentor team members and contribute to knowledge sharing, innovation forums, and AI.
Required Skills & Qualifications:
- Experience in Data Science, Machine Learning, NLP, Applied AI, or AI Product Development.
- Proven track record of delivering AI solutions from experimentation through production deployment.
- Experience working within product-focused, cross-functional teams.
- Demonstrated ability to independently solve complex problems and deliver measurable business outcomes.
Technical Skills:
- Strong expertise in Python and the modern Data Science ecosystem.
- Hands-on experience with Machine Learning, Deep Learning, NLP, and Statistical Modelling.
- Experience developing Generative AI applications using LLMs and modern AI frameworks.
- Strong understanding of RAG architectures, prompt engineering, embeddings, semantic retrieval, and vector databases.
- Exposure to Agentic AI and frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or similar technologies.
- Strong SQL and data engineering fundamentals.
- Experience building APIs and intelligent services using FastAPI or similar frameworks.
- Familiarity with Git, Docker, CI/CD, cloud platforms (Azure and/or AWS), and MLOps practices.
- Strong Computer Science fundamentals including data structures, algorithms, system design, and software architecture principles.
We are looking for individuals who:
- Demonstrate a Go-Getter mindset with strong ownership, accountability, and a bias for action.
- Thrive in a builder culture, rapidly progressing from idea to prototype, MVP, and scalable solutions.
- Embrace a fail-fast, learn-faster approach while maintaining high engineering and delivery standards.
- Build trusted relationships and influence outcomes through strong collaboration with business, product, and technology partners.
- Adapt quickly to changing priorities, emerging technologies, and evolving business needs.
- Apply an AI-first mindset to reimagine workflows, automate processes, and unlock business value.
- Communicate complex technical concepts through compelling data storytelling and clear business narratives.
- Articulate customer, operational, and commercial impact, helping drive adoption and scale of innovative solutions.
- Actively contribute to the Data Science community through knowledge sharing, collaboration, and continuous learning.
Skills
Data Science, Machine Learning, Python, Generative AI, NLP, Deep Learning, SQL, FastAPI, LangChain, MLOps, Artificial Intelligence