Senior AI & Analytics Consultant

Xpertise Recruitment; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Xpertise Recruitment in London seeks a data scientist to turn data into measurable business outcomes. You will work at the intersection of data science, AI and business strategy, delivering analytics solutions and insights to stakeholders across industries.

The role blends consultancy with hands-on data science, requiring strong Python skills, robust statistical foundations and experience with AI concepts including LLMs. Hybrid working is offered.

Qualifications

• Degree in a STEM subject or equivalent quantitative discipline.
• Strong problem-solving and analytical thinking.
• Commercial data science experience delivering ML/AI solutions.
• Strong Python and data science libraries.
• Understanding of AI concepts including LLMs and retrieval-based approaches.
• Excellent communication and cross-functional collaboration.
• Experience in consulting or client-facing roles.
• Experience with Databricks, MLflow, or GitHub Copilot.

Responsibilities

• Apply data science, ML and AI to generate insights and business value.
• Develop and maintain analytical models using Python.
• Collaborate with stakeholders to define analytical approaches.
• Present findings to technical and non-technical audiences.
• Build proofs of concepts and prototypes to test ideas quickly.
• Utilise modern AI tools to accelerate delivery.
• Contribute to innovation through new technologies and best practices.

Skills

Python

Data science

Machine learning

Consulting experience

Communication skills

Team collaboration

Statistical foundations

Education

STEM degree

Tools

GitHub Copilot

Databricks

MLflow

Job description

Xpertise Recruitment in London seeks a data scientist to turn data into measurable business outcomes. You will work at the intersection of data science, AI and business strategy, delivering analytics solutions and insights to stakeholders across industries.

The role blends consultancy with hands-on data science, requiring strong Python skills, robust statistical foundations and experience with AI concepts including LLMs. Hybrid working is offered.