Job type
PermanentLocation
BelfastWorking Pattern
Full-timeSpecialism
Data ScienceIndustry
Business or Management ConsultancyPay
Competitive
Lead Data Scientist – Hybrid Belfast | Consultancy | AI & LLMs
Are you an experienced Lead Data Scientist looking to shape AI strategy, mentor a high‑performing team, and work on cutting‑edge LLM and generative AI projects? Our client, a growing data & AI consultancy, is hiring a technical leader to drive innovation and deliver high‑impact solutions for customers across multiple industries.
This role includes leading a team of four and acting as deputy for the Engineering Manager when required.
⭐ Why This Role Stands Out
- Work with advanced machine learning, generative AI, LLMs, and modern analytics technologies.
- Lead and develop a talented data science team.
- Blend hands‑on technical delivery with strategic influence.
- Hybrid working, excellent benefits, and strong investment in your professional growth.
Key Responsibilities
- Lead and mentor a team of 4 data scientists, supporting skills' development, career growth and project delivery.
- Deliver end‑to‑end data science and AI solutions across multiple client projects.
- Build and deploy machine learning models, including LLM‑powered and generative AI applications.
- Run client workshops, gather requirements and translate business challenges into data‑driven solutions.
- Review code, set best practices and drive high standards in model development and engineering.
- Contribute to technical roadmaps and product innovation.
- Act as stand‑in for the Engineering Manager, supporting delivery governance and technical leadership.
Skills & Experience Needed
- Strong commercial experience in data science, machine learning and AI.
- Hands‑on experience with LLMs, generative AI, NLP, or advanced modelling techniques.
- Proficiency in Python, SQL and modern data science libraries (e.g., PyTorch, TensorFlow, scikit‑learn, HuggingFace).
- Experience mentoring or managing data scientists.
- Confident working in Agile environments with Git/version control.
- Strong communication skills, especially with non‑technical customers.
Desirable (SEO‑Optimised)
- Experience with cloud platforms (AWS, Azure, GCP).
- Docker/Kubernetes & modern MLOps tooling.
- Experience across NLP, tabular modelling or computer vision.
- Exposure to LangChain, vector databases or AI‑augmented development workflows.
Benefits
- 35 days leave, including public holidays.
- Optional additional unpaid leave.
- Hybrid and flexible working.
- Pension + private health insurance.
- Funding for training, learning resources and conferences.
- Regular knowledge‑sharing sessions and team events.
How to Apply
Submit your CV through Hays or contact your Hays consultant for more details.
