Senior Applied AI Scientist

About Intent HQ

Recognised by the Financial Times as one of the FT1000 Fast growing companies in

Europe in 2022 and 2023, Intent HQ is a leader and innovator in Customer AI

Analytics and Data Science with a blue chip international enterprise customer base

and solid financial backing from our investors. Our mission is to become the world’s

preeminent Customer Intent platform by bringing together privacy-first signals

intelligence, proprietary behavioural AI/ML analytics & uniquely accessible enterprise

insights into a single platform that organisations will use to build more genuine,

sustainable and profitable relationships with their customers. . Our initial focus

solved problems for clients in the telecommunications sector, including Verizon &

Orange. We have since expanded into the Financial Services, Retail and Social

Media sectors including HB Reavis and Zurich Group as clients to name a few.

Our clients typically have tens of millions of customers and billions of interaction

events each day. We have developed our platform to handle data at this enormous

scale efficiently. Intent HQ is unique because we've focused on understanding

customer interaction data. We do the hard-specialised work leaving our clients free

to focus on integrating the insight into their business, with one Client seeing an

additional £26m annual revenue as a result of using our products and services. We

work with cutting edge technologies including LLMs and Causal AI

Intent HQ is an exciting place to work, with a team of over 100 people (and

growing!), we have offices in London, Barcelona, Lisbon, Tel Aviv & New York and

collectively speak over 15 languages!

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 personalization.

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 pods

b) 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)

Our Culture:

Working for Intent HQ, you have the opportunity to work with cutting edge technology in an

environment where you are encouraged to think and act outside traditional methods. We are

a growing business with a flat structure meaning everyone is visible and able to make an

impact, not just in their own role, but across the business on a daily basis. We promote a

collaborative, innovative and sociable culture, oriented towards performance and competitive

advantage. Our DNA is made up of flexibility to all staff with a family friendly approach and

focus on personal development. We have high expectations and pride ourselves on our

cultural standards.

Diversity & Inclusion:

Intent HQ is an equal opportunities employer with an ethos of commitment to promoting and

practicing diversity, equality and inclusion at work. At IHQ, different perspectives, ideas and

experiences are valued and respected, with fair and equal opportunities provided for all.

Benefits:

● Flexible working

● Free breakfast daily (when in the office)

● 26 days holiday (increasing with service)

● Pension scheme

● Income Protection

● Life Assurance

● Higher than statutory maternity/paternity benefits

● Socials and events

● Cycle to work scheme

● Training opportunities