Why This Role Stands Out
This hybrid role offers exciting opportunities to work on cutting-edge AI and machine learning projects with a leading advisory firm, with a competitive salary of GBP 55,000 - 60,000. You'll thrive here if you have a solid data science background, a passion for generative AI and LLMs, and the drive to develop your expertise in a collaborative team environment. Apply now to shape the future of AI with a renowned organization!
Quick Overview
Job Description
Data Scientist (AI & Machine Learning)
London | Hybrid | £55,000 - £60,000 + Benefits
We're partnering with a leading consulting and advisory organisation that is investing heavily in its Data Science and AI capabilities. As part of a growing specialist team, you'll have the opportunity to work on complex business challenges, applying cutting-edge data science, machine learning and AI techniques to deliver meaningful outcomes for a range of high-profile clients.
This role is ideal for someone with a solid Data Science background who is excited by the evolving AI landscape and wants to develop their expertise in areas such as Generative AI, Large Language Models (LLMs) and emerging AI technologies.
The Role
- Develop and deploy Data Science and Machine Learning solutions using Python.
- Analyse complex datasets to uncover insights and support business decision-making.
- Work closely with stakeholders to understand challenges and translate requirements into practical solutions.
- Leverage modern AI tools and technologies to enhance productivity and delivery.
- Contribute to innovative projects across AI, Machine Learning and Advanced Analytics.
About You
- Experience in a Data Science, Machine Learning or related role.
- Strong commercial experience with Python.
- Experience applying Data Science and Machine Learning techniques to real-world business problems.
- Regular user of AI tools such as GitHub Copilot, ChatGPT, Claude or similar technologies.
- Good understanding of Generative AI, LLMs, RAG and wider AI concepts.
- Strong problem-solving and analytical skills.
- Comfortable communicating technical concepts to non-technical stakeholders.
Desirable
- Exposure to Databricks, MLflow or cloud-based analytics platforms.
- Experience working in a client-facing or consulting environment.
- Involvement in AI or GenAI-focused initiatives.
Why Join?
- Work alongside highly capable data and AI professionals.
- Gain exposure to a broad range of industries and business challenges.
- Be part of a rapidly growing AI and Data Science practice.
- Access excellent learning, development and career progression opportunities.
- Hybrid working and a collaborative team environment.
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