Lead Data Scientist — Agentic AI & Production ML (Remote)

Aria Intelligent Solutions

Greater London

Remote

GBP 120,000 - 180,000

Full time

7 days ago
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Benefits offered by this job

Private medical
Vitality rewards
25 days annual leave
Charity day
Wellbeing app

Job summary

Aria Intelligent Solutions is seeking a Lead Data Scientist to spearhead Agentic AI initiatives, oversee end-to-end AI architecture, and guide a team of data scientists. The role centers on productionizing AI agents, LLM workflows, and scalable analytics for real‑world business problems.

The candidate will combine deep ML foundations with hands-on experience in agentic systems, RAG, tool calling, and cloud deployment, to deliver impactful analytics and AI solutions.

Qualifications

  • Bachelor's or Master's in Computer Science, Data Science, Statistics, Mathematics, Engineering or related discipline.
  • 8+ years of experience in Data Science, ML, AI, GenAI or related areas.
  • Strong foundation in Statistics, ML and Data Science.
  • Strong hands-on experience with Python and SQL.

Responsibilities

  • Lead design and development of production-grade AI agents and agentic workflows.
  • Design agent architectures involving LLMs, tools, APIs, databases, and business systems.
  • Build multi-agent systems for complex analytical and business workflows.
  • Mentor Data Scientists and guide AI Engineers in modelling approaches and architectures.

Skills

Python
SQL
LLMs / Generative AI
Agentic AI / multi-agent
RAG / tool calling
Leadership

Education

Bachelor's or Master's in CS / Data Science

Tools

Docker
FastAPI
PostgreSQL
AWS/Azure/GCP
Python

Job description

Aria Intelligent Solutions is seeking a Lead Data Scientist to spearhead Agentic AI initiatives, oversee end-to-end AI architecture, and guide a team of data scientists. The role centers on productionizing AI agents, LLM workflows, and scalable analytics for real‑world business problems.

The candidate will combine deep ML foundations with hands-on experience in agentic systems, RAG, tool calling, and cloud deployment, to deliver impactful analytics and AI solutions.

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