Applied AI ML - Senior Associate
Salary not listed • LONDON, LONDON, United Kingdom • Full-time
Posted 1mo ago
About the job
Join us in redefining how artificial intelligence accelerates business impact. As an AI & Data Scientist, you will apply advanced analytics, machine learning, and artificial intelligence techniques to transform workforce data into actionable insights and solutions. You will partner with business leaders, product teams, and technologists to develop models, evaluate outcomes, and deliver AI-powered capabilities that support evidence-based workforce decisions. Your work will help accelerate the delivery of innovative AI solutions within a regulated environment.
Responsibilities
- Design, develop, test, and deploy AI and machine learning solutions for workforce and business challenges.
- Conduct statistical analyses, experiments, and model evaluations to generate insights and recommendations.
- Contribute to model factories and evaluation frameworks to improve model quality, scalability, and efficiency.
- Apply agentic, specification-driven, and evaluation-driven development approaches.
- Translate business requirements into analytical solutions and measurable outcomes.
- Build scalable, reliable, and secure analytics and AI products.
- Identify opportunities to improve costs, controls, employee experiences, and organizational capabilities.
- Support adoption of reusable methodologies, tools, and vendor capabilities.
- Communicate findings and recommendations to technical and non-technical audiences.
- Ensure adherence to risk, control, and governance requirements.
Requirements
- Bachelor’s degree in AI, Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative discipline.
- Experience developing and deploying machine learning or AI solutions.
- Working knowledge of large language models, agentic frameworks, or generative AI technologies.
- Experience with statistical analysis, experimentation, and model evaluation methodologies.
- Proficiency in Python, SQL, and enterprise data science tooling.
- Strong analytical, problem-solving, and communication skills.
- Ability to manage multiple priorities and deliver results in a collaborative environment.