Specialism 02 · Data Science & Analytics
Data scientists for iGaming.
We place the data scientists and analysts who turn billions of player events into decisions on value, retention, risk and product. Whether you're hiring for data scientist jobs in iGaming or planning your next move, this is the work we know best.
Data science in iGaming
Turning player data into decisions.
Few industries generate data like iGaming. Every session, bet, deposit and click is a signal, and the operators and suppliers that win are the ones that turn that flood into decisions: lifetime-value and churn modelling, player segmentation, bonus and CRM optimisation, responsible-gaming detection, and rigorous experimentation. Data science sits right at the centre of all of it.
The strongest data scientists pair statistical and machine learning rigour with commercial instinct and the ability to explain a finding to a stakeholder who doesn't speak maths. In a regulated, real-money environment the stakes and the constraints are higher than most sectors, and the demand for people who can work effectively inside them comfortably outstrips supply.
That's where we come in. We focus only on AI and data roles in iGaming, so we understand both the techniques and the context. Whether you need a product-focused analyst, an experimentation lead or a senior data scientist building churn and value models, we connect you with people who have done the work before, not just studied it. And if you're a data scientist weighing up your next move, we'll point you only at the roles, and the companies, worth your time.
Who we place
The data and analytics roles we recruit.
From hands-on analysis to data science leadership, across operators, studios and suppliers.
The stack
The tools and stack we recruit for.
We recruit across the modern data and analytics stack, matching real experience to your environment rather than keyword-matching a CV. Common ground includes:
Why a specialist
We know rigour from a dashboard jockey.
We screen for real science
We can tell the difference between someone who runs queries and someone who can model, test and defend a finding. Your shortlist shows it.
We know the iGaming context
Player value, bonus abuse, responsible gaming and regulated data. We brief candidates on what makes analytics here distinctive.
A live AI and data network
Active and passive data scientists across Malta, Gibraltar, Cyprus, the UK and remote Europe, including the ones who never answer ads.
Signal over volume
A tight, relevant shortlist, not a pile of CVs. You spend your time interviewing, not filtering.
FAQ
Data science hiring, answered.
What does a data scientist do in iGaming?
They use data and models to drive decisions, things like lifetime-value and churn prediction, player segmentation, bonus and CRM optimisation, responsible-gaming detection and experimentation.
What is the difference between a data scientist and a data analyst?
Analysts focus on reporting and explaining what happened, while data scientists build models to predict and influence what happens next. At smaller companies one person often does both.
What salaries do data scientists command in iGaming?
It depends on seniority, location and company, but data science is one of the better-paid disciplines in the sector. We can share current benchmarks for your specific role and market.
Do you recruit remote data scientists?
Yes. We place permanent and contract data scientists across Malta, Gibraltar, Cyprus and the UK, and on fully remote roles open across Europe.
Hiring data and analytics talent?
Tell us what you need to understand or predict, and we'll find the people to do it.