Bolt Insight

Artificial Intelligence

• Support the design and execution of AI-assisted quantitative and qualitative research studies
• Assist in building questionnaires, sampling plans, and managing fieldwork
• Analyse survey data and consumer feedback using both traditional and AI-powered tools
• Transform raw data into insightful narratives and contribute to storytelling for client deliverables
• Prepare dashboards, summary reports, and visual presentations
• Participate in insight discussions to help shape strategic recommendations for global brands
• Create light research-driven content (industry trends, insight summaries, newsletters)
• Support digital communication of research outputs
• Collaborate with teams exploring how AI can enhance research efficiency and insight generation

AI-Powered Market Research & Data Insights Graduate Internship

Data Engineer

• Design, refine, and productionise AI systems that power the platform.
• Design prompts, reasoning flows, and intelligent behaviours for AI moderators and synthetic respondents.
• Fine-tune LLMs using curated datasets (LoRA/QLoRA, supervised finetuning, RLHF-style workflows).
• Prototype new GenAI features, including automated insight extraction and multi-turn conversation handling.
• Build and maintain scalable data pipelines for model training, evaluation, analytics, and production workflows.
• Work across AWS Athena, Glue, S3 and Azure equivalents to support a lakehouse architecture.
• Develop dbt models and SQL transformations for clean, reproducible datasets powering GenAI models.
• Ensure high-quality ETL/ELT workflows across AWS, Azure, and MongoDB environments.
• Develop automated evaluation frameworks to measure LLM quality, accuracy, hallucinations, tone, and behavioural consistency.

AI Specialist – LLM & Data Engineering

Full-stack Engineer

• Develop and maintain the company’s platform
• Work with the product team to understand the user’s needs and translate them into technical requirements
• Write clean, maintainable, and efficient code
• Design and implement new features and enhancements
• Optimise the platform for maximum speed and scalability
• Collaborate with other developers to ensure the platform is reliable, stable and secure
• Troubleshoot and debug as needed
• Stay up-to-date with emerging trends and web development

Full Stack Developer

Product Analyst

• Bridge the worlds of market research, product development, and AI.
• Bring deep understanding of qualitative and quantitative research workflows.
• Support user acceptance reviews for new releases by testing workflows and outcomes.
• Collaborate with product and data teams to review AI-driven outputs.
• Track emerging tools, methodologies, and innovations in the market research and insights industry.
• Partner with Product, Engineering, and Client Success teams.

Research Product Analyst

• Work across both the frontend and backend of our AI-powered insights platform, building new features, fixing bugs, and helping us scale the product.
• Develop and maintain our platform (frontend and backend).
• Write clean, maintainable code with guidance from senior engineers.
• Help design and implement new features and enhancements.
• Collaborate with the team to ensure reliability, scalability, and security.
• Learn new tools and technologies; gain exposure to modern technologies, cloud infrastructure, and AI integrations with mentorship and guidance.