Data Scientist

MrQ
St Albans
4 months ago
Create job alert

Mr Who? MrQ – we're an awesome, award‑winning online casino launched in 2018. We're big on tech, big on performance and most of all – big on fun. Over the years, we've experienced explosive growth, which means we need more rock stars to join our quest for total world domination.


MrQ is looking for a highly skilled Data Scientist to join our growing Revenue Operations team. RevOps is the architect of the company’s revenue engine, and we use maths, statistics, data and ML to ensure revenue is protected, predictable and maximised. This role has direct exposure to commercial programmes across every part of the business and we are looking for the highest calibre of talent.


This role has two core areas of focus that sit at the heart of how RevOps drives decisions:



  • Causal inference & metric explainability
  • Agentic AI for always‑on insight

What You Will Do
Causal inference & explainability

  • Design and deploy causal inference frameworks to explain metric movements across acquisition, retention, and revenue – moving the business beyond correlation to confident causal attribution.
  • Build automated decomposition models that identify why a KPI has shifted (e.g., mix effects, seasonality, campaign impact, product changes) and surface actionable root causes to stakeholders.
  • Partner with teams to embed causal thinking into decision‑making workflows – replacing gut feel with evidence‑backed direction.

Agentic AI & always‑on insight

  • Using the frameworks created for causal inference, architect and build specialised AI agents that autonomously monitor key business metrics, detect anomalies, and generate natural language explanations of what is happening and why.
  • Develop agent systems that combine metric surveillance, contextual awareness, and LLM‑powered explainability – so insight is proactive, not reactive.
  • Ensure agents are robust, well‑validated, and capable of handling the complexity of the business.
  • Continuously improve agent intelligence over time – incorporating new data signals, feedback loops, and evolving business context.

What We’re Looking For

  • Master’s degree (or PhD) in Data Science, Statistics, Mathematics, or related field.
  • 5+ years of experience in applied data science, ideally in digital, gaming, gambling, or another high‑growth consumer‑facing industry.
  • Expertise in causal inference methods – including uplift modelling, difference‑in‑differences, instrumental variables, and causal ML frameworks (e.g., DoWhy, EconML).
  • Hands‑on experience designing and building AI agents or agentic pipelines, including tool use, orchestration, and LLM integration.
  • Expert knowledge of R or Python for statistical modelling and machine learning.
  • Excellent SQL skills for querying and transforming large datasets.
  • Strong communication skills and proven experience influencing senior stakeholders.

What Success Looks Like
In 3 Months

  • Develop a deep understanding of the data ecosystem and key business drivers.
  • Deliver a first causal analysis or metric decomposition that directly informs a commercial decision.
  • Prototype an initial agentic monitoring system for at least one core business metric.

In 12 Months

  • Causal inference frameworks embedded into RevOps’ standard toolkit, actively shaping acquisition, retention, and revenue decisions.
  • A suite of specialised AI agents running autonomously – monitoring key metrics and delivering proactive, plain‑language insight to stakeholders without manual intervention.
  • Introduced and championed new methodologies (e.g., causal ML, uplift modelling, agentic workflows).
  • Partnered with stakeholders to embed ML products into key business workflows and decisions.
  • Helped shape the RevOps function’s research cadence and ways of working.

What We Offer

At MrQ, we take pride in providing a range of fantastic benefits to our valued team members. Enjoy a competitive salary package that recognizes your hard work and dedication. Need some extra time off? We’ve got you covered with additional leave days. We celebrate life’s special moments, including your birthday, with dedicated birthday leave. Family matters to us, which is why we offer generous four‑week parental leave. Your well‑being is our priority, supported by international health and life insurance. Stay motivated with wellness incentives and seize opportunities for personal and professional growth with our growth allowance. Embrace a flexible working environment that caters to your needs, and join our friendly and multinational team, where collaboration and camaraderie flourish. At MrQ, we’re committed to ensuring that your experience with us goes beyond just a job – it’s a fulfilling journey with a supportive community.


We are committed to fostering a workplace that values and celebrates diversity. We welcome individuals of all backgrounds and experiences, and we believe that a diverse and inclusive environment leads to innovation and success. We actively promote equal opportunities for all employees and strive to create a space where everyone’s voices are heard and respected. Join us in our journey to build a truly inclusive workplace where every person can thrive and contribute to our collective success.


To help our recruitment team work efficiently, please apply to the role that best matches your skills and experience. Our team will consider you for other similar roles as well!


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - SC Cleared

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.