Lead Data Scientist
Aria Intelligent Solutions
Get a reply from this employer
Your resume and cover letter, tailored to exactly what they’re hiring for.
Benefits offered by this job
Job summary
Aria Intelligent Solutions in the United Kingdom seeks a Lead Data Scientist to drive design, development, and productionization of Agentic AI, Generative AI, ML and Advanced Analytics solutions for real-world business problems. You will own end-to-end delivery from problem framing to deployment and mentoring.
The role requires hands-on leadership, strong foundations in statistics and ML, plus expertise in LLMs, RAG, tool calling and multi-agent systems.
Qualifications
- 8+ years of experience in Data Science, Machine Learning, AI or related areas.
- Strong foundation in Statistics, ML and Data Science.
- Hands‑on experience with Python and SQL.
- Significant experience with Generative AI / LLM applications.
Responsibilities
- Lead the design and development of production‑grade AI agents and agentic workflows.
- Architect agent architectures involving LLMs, tools, APIs, databases, business systems and external services.
- Build enterprise‑grade RAG solutions and retrieval architectures.
- Develop frameworks to evaluate AI systems for accuracy, reliability and business relevance.
- Mentor Data Scientists and AI Engineers and drive client alignment.
Skills
Education
Tools
Job description
We are looking for a Lead Data Scientist – Agentic AI to lead the design, development, and product ionization of next-generation Agentic AI, Generative AI, Machine Learning, and Advanced Analytics solutions for real-world business problems.
The ideal candidate will combine strong foundations in Statistics, Machine Learning and Data Science with hands‑on expertise in LLMs, AI Agents, agentic workflows, RAG, tool calling, multi‑agent systems, and AI application engineering.
This is a hands‑on technical leadership role. The Lead Data Scientist will be expected to take ownership of complex problems end‑to‑end — from understanding the business problem and defining the analytical approach to designing the AI architecture, building and evaluating solutions, deploying them to production, and mentoring other Data Scientists.
Prior experience in forecasting, demand planning, supply chain, pricing, promotions, or other CPG/Retail analytics will be an added advantage.
- Lead the design and development of production‑grade AI agents and agentic workflows.
- Design agent architectures involving LLMs, tools, APIs, databases, business systems, and external services.
- Build and orchestrate multi‑agent systems for complex analytical and business workflows.
- Design agent capabilities including tool calling, memory, state management, planning, reasoning and workflow execution.
- Build enterprise‑grade RAG solutions and retrieval architectures.
- Develop frameworks to evaluate AI systems for accuracy, groundedness, reliability, consistency and business relevance.
- Identify and address hallucinations, failure modes and reliability issues in agentic applications.
- Evaluate emerging Agentic AI technologies and determine their practical application to business problems.
- Lead the application of Statistics, Machine Learning, predictive modelling and optimization to complex business problems.
- Design analytical approaches for large and complex datasets.
- Develop, validate and optimize ML models.
- Establish robust model validation and performance measurement frameworks.
- Translate analytical outputs into actionable business recommendations.
- Guide Data Scientists in selecting appropriate modelling approaches based on business objectives and data characteristics.
- Apply forecasting and predictive analytics techniques to business problems involving:
- Demand forecasting
- Supply chain & inventory
- Pricing & promotions
- Category management
- Shopper/customer analytics
- Experience with time‑series forecasting, demand planning or CPG/Retail analytics will be a strong advantage.
- Guide the team in developing scalable forecasting and predictive solutions.
- Design end‑to‑end AI architectures covering Data Science, LLMs, agents, APIs, databases and deployment infrastructure.
- Develop backend services using Python, Fast API or equivalent frameworks.
- Integrate ML models, LLMs, databases, APIs and external tools.
- Review technical implementations for scalability, maintainability and performance.
- Establish reusable engineering patterns and best practices for AI applications.
- Take AI/ML solutions from prototype to production.
- Containerize applications using Docker.
- Deploy AI solutions on AWS, Azure or GCP.
- Work with Platform/DevOps teams on scalable AI architecture.
- Contribute to CI/CD, monitoring, logging and production reliability.
- Diagnose production issues and drive improvements in system performance and reliability.
- Own complex AI problems from problem definition through production.
- Break ambiguous business problems into executable technical components.
- Mentor and guide Data Scientists and AI Engineers.
- Review modelling approaches, AI architectures and technical implementations.
- Establish technical standards and reusable components.
- Collaborate with Data Engineering, Software Engineering and DevOps teams.
- Work directly with business stakeholders and clients when required.
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering or a related discipline.
- 8+ years of experience in Data Science, Machine Learning, AI, GenAI or related areas.
- Strong foundation in Statistics, Machine Learning and Data Science.
- Strong hands‑on experience with Python and SQL.
- Significant experience with Generative AI / LLM applications.
- Strong understanding and practical experience with:RAG
- Embeddings
- Agent orchestration
- Agent memory/state
- LLM evaluation
- AI agents / agentic workflows
- Experience designing and building production‑grade AI systems.
- Experience developing APIs/backend services using FastAPI or similar frameworks.
- Experience with relational databases such as PostgreSQL.
- Hands‑on experience with Docker and at least one cloud platform - AWS, Azure or GCP.
- Strong problem‑solving and analytical ability.
- Ability to independently own complex technical problems and drive them to completion.
- Demonstrated ability to mentor and technically guide other Data Scientists.
- Must-have: Client Exposure and LeadershipClient exposure: Regular client visits; leads discovery and proposal sessions.
- Leadership & management: Allocates DS/JDS/SDS across engagements; owns admin and utilisation.
- Demand forecasting / demand planning
- CPG / Retail / Supply Chain experience
- Client‑facing experience
- LangGraph / LangChain or equivalent frameworks
- Advanced RAG architectures
- Multi‑agent systems
- Guardrails and AI reliability
- LLMOps / MLOps / GenAIOps
- Redis / Kafka / RabbitMQ / Celery
- Terraform
Access private medical with Vitality healthcare - includes optical, dental cover, and extended to family members at no extra cost.
Earn points with Vitality to gain access to dozens of amazing benefits including cinema tickets, free coffees, gym discounts and more!
Recharge with 25 days of vacation each year plus additional loyalty days earned over time
Take an extra paid day off each year to support a cause close to your heart, reflecting Aria's dedication to making a difference We also match donations!
Stay on top of your wellness with unlimited access to the Champion Health app, offering personalised tools for physical and mental wellbeing.
Grow and thrive with expert‑led seminars, designed to inspire and support your professional and personal development.
Step back when life feels overwhelming with paid Wellbeing Days: Dedicated time to reset and recharge during those moments when it all feels like too much.
At Aria, we're not just building a team but fostering a community that values health, purpose, and balance. Join us and experience the difference.
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
