We are looking for a Senior Applied AI Scientist who wants to help our customers achieve ROI from their first party behavioural data.
Intent HQ redefines customer understanding for the agentic era, enabling enterprises to influence customer decisions at the moments that determine growth, loyalty, and competitive advantage. As the Human-to-AI Context Company, we offer groundbreaking AI technology that creates the missing context of human behaviour and individuality, transforming data into confident decisions that reflect how people actually act in the real world. We enable brands to Act With Intent.
Trusted by global enterprises, Intent HQ manages 325M+ profiles and processes 250B events daily. We won AI Business of the Year (National AI Awards 2025), Analytics Company of the Year (British Data Awards 2025), and winner of Best AI Ethics & Diversity Strategy (AI World Series Awards 2025), recognising Intent HQ’s AI innovation, analytics excellence, and ethical leadership. Intent HQ is a proven partner for leaders seeking measurable growth, faster decision velocity, and responsible AI-driven advantage.
To learn more, visitwww.intenthq.com
Synopsis:
We are looking for a Senior Applied AI Scientist who wants to help our customers achieve ROI from their first party behavioural data, by delivering cutting edge Behavioural AI solutions across our Agentic AI product stack. The role will help our customers unravel the complexities of behavioural AI for large and mid-market organisations with a passion for insights and personalisation.
The Opportunity:
The role will work with our product, engineering and customer success teams. It requires direct expertise with deep learning statistical models that power AI, such as Transformers, and is focused on providing the quality of predictive and prescriptive insight that our customers need to achieve great outcomes when they leveraging our behavioural AI technology. This job particularly suits data scientists who have experience working with customers, internal and external, that are able to understand customer ways of thinking and understand what they truly value.
The role is expected to include projects across our cross-functional teams:
a) Development of our core product behavioural models, working directly within our product, AI and engineering delivery podsb) Prototyping new solutions with customer data, working with our client success team to understand customer need and translate this into new behavioural insight prototypes for future product integration
d) Behavioural AI model research and development
Key Responsibilities:
- Design and build core behavioural models as tooling for our behavioural AI product, using bleeding edge deep learning techniques
- Developing client prototypes of new behavioural insight to prove value and then push upstream into our core capabilities where appropriate
- Ideate and prove out new, cutting edge DS techniques that will accelerate our value, enhance our product and grow our business
- Help our customers understand how to leverage our behavioural insights as features in their own models
- Work directly with customers to understand the problems that they face, and learn which kinds of behavioural insight will truly deliver ROI
- Act as an evangelist and storyteller for behavioural data science in the context of agentic AI
- Become a champion of Data Science and Applid AI internally and participate in our data science community
Skills and experience:
Essential
- The most important requirement is the ability to creatively think through our customer’s challenges and solve problems that will enable us to productise the science that will deliver customer ROI
- The ability to work with agents and harnesses to deliver deployable, production-ready code as part of our product and engineering pods
- Knowledge and experience of building and evaluating machine learning models in areas such as clustering, sequence modelling, transformers, and other natural language processing and deep learning.
- Experience working closely and collaboratively with internal and external business stakeholders to understand their needs
- Passionate about communicating and are able to translate technical content in commercial terms for non-technical stakeholders, such as customers, sales and product teams
Desirable
- B2B product experience
- Experience with Spark SQL, PySpark, databricks
- Experience with CausalAI modelling frameworks (e.g. dowhy, econml)
- Flexible working
- 26 days holiday (increasing with service)
- Work socials
About Intent
You leave a trail behind you every day — and it says more about what you will do next than anything you have told a company directly. Your phone registers when you fall asleep and when you wake. Your mobile network notices your commute. Your browser remembers that you wandered onto a competitor's site last Tuesday — and the Tuesday before that. You move through the world, and the world quietly takes notes.
Most companies lose the detail. A large mobile network generates hundreds of billions of events every single day — too expensive to keep in raw form. So your rich, specific, wonderfully complicated life gets compressed into an average. You become “males 25–34 in the southeast who browsed upgrades.” A bucket. A segment. And then that bucket gets blasted with messages — because when you cannot tell what someone actually wants, the only strategy left is frequency. Send more, send often, hope something lands.
We built something different. Intent runs two types of intelligence in parallel. Our cloud engine reads billions of events a day — weblogs, payments, app signals, CRM records — and finds behavioural sequences: chains of small actions that unfold in a recognisable order before someone switches, upgrades, or leaves. Our on-device Edge AI sits directly on the phone, reading 16,000 signals and distilling them into 750 insights about your current state — without any of that information ever leaving the device.
We manage over 300 million customer profiles. We underpin $115 billion in customer value. We hold 49 patents in behavioural AI, privacy architecture, and on-device intelligence. We were named AI Business of the Year 2025. And Verizon — with large data science teams of its own — has been our customer for seven years, because what we have built over a decade of patents, learning, and rigorous product development cannot be easily replicated.
Our Team
Around 110 people and growing, based across London, Barcelona, Lisbon, New York, and Tel Aviv. Engineers, data scientists, product designers, and commercial minds who collectively speak over 15 languages. United by a single conviction: when you understand human behaviour properly, relevance follows — and when relevance follows, so does value.
Why Join Intent
Work that matters at genuine scale.
Our clients have tens of millions of customers and billions of interaction events each day. You will not be optimising a landing page — you will be shaping how the world's largest enterprises understand and serve their customers.
Category-defining technology.
49 patents. An AI that reads 16,000 behavioural signals directly on your phone — data never leaves. A cloud engine that digests 250 billion events a day and delivers fresh intelligence in under 120 seconds. Privacy twins that make re-identification mathematically infeasible.
Global reach, real momentum.
Verizon, MTN Group, ABG Capital — across telecoms, financial services, retail, and social media. Expanding rapidly into Latin America, Africa, APAC, India, and the Middle East. AI Business of the Year 2025.
A place to grow — fast.
We are at an inflexion point: approaching profitability, launching a flagship agentic platform, and scaling commercially across seven regions. The people who join now will shape the next chapter.
Hybrid and flexible.
London-based roles work from the office three days a week, with the rest remote. Team members across Barcelona, Lisbon, New York, South Africa, Nigeria, Brazil, India, and Tel Aviv — a genuinely international team solving genuinely global problems.
Our Values — In Practice
Human-first. No one is average. We start with individual reality, motivation, and context — not statistical convenience or abstract users.
Principled. Privacy is a human right — a design principle, not a legal afterthought. Trust is foundational, not optional.
Ambitious. We anticipate the edge — looking ahead early and building what others assume cannot yet be built.
Inclusive. Intentionally relevant. Every interaction should earn its place — serving simply, with clarity in product, communication, and action.
In service. We serve simply — to our customers, to each other, and to the work itself. No unnecessary complexity, no ego in the way.