Senior Data Scientist/AI Engineer

Summary

Join YouGov as a Senior Data Scientist/AI Engineer to design, build, and deploy next-generation AI-driven tools for market research. You will leverage your expertise in data science and AI engineering to develop models and predictions using diverse data sources, tackling complex data challenges. This hands-on role demands advanced analytical and programming skills. You will collaborate with cross-functional teams, contributing to technical design, model evaluation, and staying current with AI advancements. The position involves handling ambiguous problems, contributing to strategic problem-solving, and building AI-powered applications to analyze and generate insights from survey data. You will also work with structured and unstructured data and contribute to the technical vision and architectural decisions.

Requirements

• Master’s or PhD in data science or related field
• Demonstrable progressive experience in senior data science/AI engineering roles
• Advanced knowledge in Python and/or R for data analysis, modelling, and visualization
• Experience working with LLM APIs and building LLM-based applications and frameworks
• Progressive experience with natural language processing, including topic modelling, text classification, and summarization
• Experience in taking part in cross-functional technical projects
• Ability to write clean, maintainable, well-documented code
• Proven track record of delivering complex, high-impact solutions
• Ability to cross collaborate with other teams across the business

Responsibilities

• Design and build AI-powered applications to analyze, summarize, and generate insights from survey data
• Contribute to technical design and architecture decisions for AI/ML systems
• Develop and optimize prompts and chains
• Build applications to simplify analytics and improve the efficiency of data processing
• Work with structured and unstructured data
• Collaborate with data analysts, product managers, UI designers, and software developers to create great products
• Contribute to model evaluation and performance tracking using both qualitative and quantitative metrics
• Stay up to date with recent developments in AI and machine learning, including LLMs, embeddings, and RAG pipelines
• Handling ambiguous, complex problems with minimal guidance
• Contribute to technical vision, architectural decisions, or to help setting technical standards
• Contribute to business impact and strategic problem-solving at an organizational level as and when required

Benefits

• Paid vacation, holidays and sick days
• Flexible working arrangement available
• Group medical, dental and vision insurance
• Company-paid life and disability insurance
• Paid parental leave
• 401(k) with company match