AI Engineer, Data Science

About the role

As a Senior AI Engineer - Data Science, you will be a key technical leader within our advanced analytics and AI group. You will design, build, and deploy sophisticated machine learning systems—particularly LLM-driven solutions—that solve high-value, real-world problems for enterprise clients.

You’ll be part of a culture that prizes technical excellence, creativity, and continuous learning. Beyond technical depth, you will influence strategy, mentor emerging talent, and help shape our approach to responsible and scalable AI.

Your work will directly contribute to AI systems that have the potential to transform industries—and society.

Responsibilities

• Architect, build, and deploy machine learning models and LLM systems that drive meaningful impact for our products and users
• Analyse complex, large-scale structured and unstructured datasets to uncover insights and opportunities
• Enhance LLM output quality across diverse use cases, including optimisation of multi-step reasoning chains
• Lead MLOps initiatives including model performance tracking, benchmark design, quality assurance, and compliance
• Influence long-term data and AI strategy, including governance, ethical AI, and scalable frameworks
• Collaborate closely with engineering, product, and executive stakeholders to deliver innovative, production-ready solutions
• Mentor and uplift junior data scientists, setting standards for excellence

Qualifications

• Minimum Qualifications:
• Bachelor's Degree in Data Science, Mathematics, Statistics, Computer Science or a related discipline
• 5+ years of experience as a Data Scientist with hands-on experience and a track record of delivering impactful ML and AI outcomes
• Experience within the AI sector
• Experience with NLP techniques: LSTMs, CNNs, transformers, topic modelling, supervised NLP
• Commercial experience with modern LLM ecosystems (e.g., LangChain, LlamaIndex, RAG pipelines, multi-agent frameworks, GPT-based systems)
• Python experience focused on machine learning and NLP
• Able to translate complex technical concepts into clear, actionable insights for non-technical stakeholders
• Empathy, humility, and a growth mindset—open to feedback and committed to collaboration
• Comfort working in an agile, fast-evolving environment
• Preferred Qualifications:
• Master’s or Doctorate in Data Science, Mathematics, Statistics, Computer Science or a related discipline
• Knowledge of other software languages in addition to Python

Why join us?

• A high-performance culture
• State-of-the-art technology
• Experience world-class leadership
• Scale of impact and purpose
• A competitive salary and a huge growth trajectory
• Work with the best in the industry
• Flexible work environment
• Diversity and creativity

Disclaimer

We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website.

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