Data Scientist, RevOps: Causal AI & Agentic Insights in St Albans

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 have 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

The ideal candidate is technically excellent and commercially sharp, equally comfortable building predictive models as they are re-framing ambiguous business problems, communicating insight, and guiding strategy on greenfield initiatives. Experience in online gaming, gambling, or another fast-paced digital industry is a strong plus.

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 our 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 an array of fantastic benefits to our valued team members. Enjoy a competitive salary package that recognises your hard work and dedication. Need some extra time off? We've got you covered with additional leave days, and we believe in celebrating life's special moments, including your birthday, with dedicated birthday leave. Family matters to us, too, which is why we offer a 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.