Strategist, Applied Intelligence

R/GA Careers Page; Greater London; On-site; GBP 32,000 - 46,000; Full time

Benefits offered by this job

In-office London three days/week

Job summary

R/GA, an independent creative innovation company, seeks an early-career strategist/analyst to explore experience strategy, audience research, measurement and AEO across web, apps and AI-driven experiences.

You will drive audience discovery, tests and evaluation, balancing human-centred design, technical rigour and strategic thinking, with a curiosity to grow in a fast-evolving field.

Qualifications

• Experience with research, analytics, measurement, marketing sciences or a related field.
• Exposure to generative AI products or evaluation is a plus but not essential.
• Experience with qualitative or quantitative research methods such as surveys, interviews, desk research or audience analysis.
• Strategic interest in product, CX or UX strategy and how audience insight informs decisions.
• Technical basics: SQL, Python or similar for data analysis, or strong spreadsheet skills.
• AI curiosity: Hands-on familiarity with LLM platforms (ChatGPT, Claude, Gemini, Perplexity).
• Data comfort: Comfortable working with JSON and turning it into clear charts and summaries.
• Visual Tools: Experience with Figma, Miro, Lucidchart or similar.
• Clear communication: Ability to explain findings clearly in writing and conversation.

Responsibilities

• Pull Together Audience Research: Gather and synthesize market research and user insights to inform personas and user intent.
• Run AEO Audits: Carry out Answer Engine Optimisation audits and document where content is misread by AI systems.
• Support Experience Strategy: Turn audience research into product recommendations and ideation for new features.
• Score AI Outputs: Apply rubrics to score AI outputs for accuracy and brand alignment.
• Assist with Testing: Set up synthetic test scenarios and analyze results to surface edge cases.
• Work with Structured Data: Map brand content to semantic data models and JSON-LD schema.
• Track Operational Metrics: Monitor latency, cost, accuracy and hallucination rate; flag changes.
• Build Dashboards & Scorecards: Maintain evaluation dashboards and draft findings.
• Review System Behaviour: Check AI outputs against evaluation results to ensure brand alignment.
• Prepare Reporting: Turn data into clear charts, summaries and slides for clients.
• Collaborate Broadly: Work with data engineering, creative and technology teams.

Skills

Audience research

Analytics

Measurement

SQL

Python

Data visualization

Clear communication

AI curiosity

Structured data

Education

Bachelor's degree in a related field

Tools

SQL

Python

JSON

Job description

About R/GA

R/GA is an independent creative innovation company built for the intelligence age. We harness the power of design and technology to create more valuable experiences for people and brands. From architecting adaptive brand experiences with AI to optimising complex systems for real-world impact, we help organisations anticipate change and shape what comes next. Our teams combine craft, curiosity and technology to deliver work that drives both business and human impact.

About the Role

This is a hands-on role for an early-career strategist or analyst who wants to build expertise at the intersection of experience strategy, audience research, measurement, evaluation and Answer Engine Optimisation (AEO). You’ll work across both traditional digital products (websites, apps) and generative, AI-driven experiences, as part of a team working out how to make these systems measurable, testable and continuously improvable.

You’ll see projects through from audience discovery and ideation to deployment and evaluation, getting hands-on exposure to how human-centred design, technical rigour and strategic thinking come together. We’re looking for someone curious, detail-oriented and eager to learn, who enjoys the craft of rigorous testing and wants to grow with a discipline that’s still being defined.

Strategy and analytics are moving from retrospective reporting towards real-time, evaluation-driven work. In this role you’ll help build the measurement, testing and AEO practices that keep brand experiences visible to answer engines, accurate and validated at scale, and develop skills that are becoming central to the future of the industry.

On any given day, you might:

• Pull Together Audience Research: Gather and synthesise market research and user insights to help build personas and understand user intent.
• Run AEO Audits: Carry out Answer Engine Optimisation audits using established methods, documenting where brand content is missed, misread or misrepresented by AI systems and answer engines.
• Support Experience Strategy: Help turn audience research and user insights into product recommendations, and contribute ideas in ideation sessions for new features, journeys and AI-driven solutions.
• Score AI Outputs: Apply evaluation rubrics to score AI outputs for accuracy, brand alignment and intent-fulfilment, and flag where rubrics could be improved.
• Assist with Testing: Help set up synthetic test scenarios and analyse the results, surfacing edge cases, failure modes and patterns for the wider team to review.
• Work with Structured Data: Support the team in mapping brand content to semantic data models and JSON-LD schema, helping make it machine-readable by AI and answer engines.
• Track Operational Metrics: Monitor and report on latency, cost, accuracy and hallucination rate, flagging notable changes against evaluation benchmarks.
• Build Dashboards & Scorecards: Build and maintain evaluation dashboards and scorecards, and draft initial findings for review.
• Review System Behaviour: Check AI outputs and system prompts against evaluation results to spot where brand strategy isn’t coming through as intended.
• Prepare Reporting: Help turn data and insights into clear charts, summaries and slides for clients and stakeholders.
• Collaborate Broadly: Work alongside data engineering, creative and technology teams, learning how each discipline defines and measures “good”.

You’d be the right fit if you:

• Are Curious About People: Enjoy understanding what audiences need and why, and want to see that insight shape digital products and AI experiences.
• Are Evaluation-Minded: Find it genuinely interesting to dig into how AI systems succeed and fail, and see testing as a core part of good work.
• Want to Learn AEO: Are interested in how content and brand signals are discovered and surfaced by AI and answer engines, and keen to build expertise in measuring it.
• Think in Structured Ways: Approach problems methodically, ask good questions and aren’t afraid to share ideas.
• Enjoy the Detail: Take care over accuracy, and like making sure numbers, criteria and findings hold up.
• Thrive in Agile: Are comfortable in a fast-moving, iterative environment where priorities shift and you learn by doing.
• Are Eager to Grow: Welcome feedback, learn quickly and want to take on more responsibility over time.
• Care About the Brand: Understand why brand consistency matters, and are interested in how to catch AI “hallucinations” before they reach users.

You bring:

• Experience: Experience with research, analytics, measurement, marketing sciences or a related field. Exposure to generative AI products or evaluation is a plus but not essential.
• Research Foundations: Some experience with qualitative or quantitative research methods, such as surveys, interviews, desk research or audience analysis.
• Strategic Interest: An interest in product, CX or UX strategy, and in how audience insight informs product and channel decisions.
• Technical Basics: Working knowledge of SQL, Python or similar for data analysis, or strong spreadsheet skills and a clear willingness to build technical skills.
• AI Curiosity: Hands-on familiarity with LLM platforms (ChatGPT, Claude, Gemini, Perplexity) and a genuine interest in how they surface, cite and rank content.
• Data Comfort: Comfort working with data in different forms, including structured formats like JSON, and turning it into clear, accessible charts and summaries.
• Visual Tools: Some experience with Figma, Miro, Lucidchart or similar for mapping journeys, processes or logic.
• Clear Communication: The ability to explain findings clearly in writing and in conversation, to colleagues from different disciplines.

Bonus:

• Evaluation Tools: Exposure to AI evaluation or observability tools such as LangSmith or Arize.
• Agentic Systems: Awareness of agentic workflows or orchestration frameworks such as LangChain or LlamaIndex.
• Prompting: Familiarity with prompting techniques such as Chain-of-Thought and Few-Shot.
• Testing & Stats: Some grounding in A/B testing, experiment design or basic statistical methods.
• Structured Data: Any exposure to schema markup, JSON-LD, databases or knowledge graphs.
• SEO or Content Strategy: Experience with SEO or content work and an interest in how it applies to answer engines.

What you’ll gain:

You’ll work closely with experienced strategists on real client work in one of the fastest-evolving areas of the industry, building practical skills in measurement, AI evaluation and AEO alongside the strategic thinking that ties it all together.

This role is based in London and requires in-office collaboration three days per week: Wednesday, Thursday, and one additional day of your choice. Candidates must be located in the London area or willing to relocate before their start date.

#LI-DNI