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- Tasks: Lead a talented data science team and deliver innovative AI solutions.
- Company: Dynamic data & AI consultancy focused on cutting-edge technology.
- Benefits: 35 days leave, hybrid working, private health insurance, and training funding.
- Why this job: Shape AI strategy and work on groundbreaking generative AI projects.
- Qualifications: Strong experience in data science, machine learning, and mentoring skills.
- Other info: Flexible working environment with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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.
- 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.
- 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.
- 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.
- 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.
Submit your CV through Hays or contact your Hays consultant for more details.
Lead Data Scientist in Antrim employer: Hays Technology
Contact Detail:
Hays Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist in Antrim
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a Lead Data Scientist role or can refer you to someone hiring.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and generative AI. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Python, SQL, and machine learning models. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way!
We think you need these skills to ace Lead Data Scientist in Antrim
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your hands-on experience with LLMs, generative AI, and any leadership roles you've had. We want to see how you fit into our vision!
Showcase Your Projects: Include specific examples of projects where you've led a team or delivered impactful data science solutions. This is your chance to shine, so let us know about the cool stuff you've worked on!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant. We appreciate a well-structured application that gets straight to the point.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Hays Technology
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest machine learning techniques, especially LLMs and generative AI. Brush up on your Python and SQL skills, and be ready to discuss specific projects where you've applied these technologies.
✨Showcase Your Leadership Skills
Since this role involves mentoring a team, prepare examples of how you've successfully led or supported others in their career growth. Think about specific instances where your guidance made a difference in project delivery or team dynamics.
✨Communicate Clearly with Non-Techies
You’ll need to translate complex data challenges into understandable solutions for clients. Practice explaining your past projects in simple terms, focusing on the impact rather than just the technical details.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think through potential client challenges and how you would approach them, especially in an Agile environment. This will show your strategic thinking and adaptability.
