SiGMA World

Data Scientist

SiGMA World

full-time

Posted on:

Location Type: Hybrid

Location: Limassol • Cyprus

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Tech Stack

CloudPythonSQLTableau

About the role

  • Analyses attendee, exhibitor, and event performance data to uncover trends, behaviours, and opportunities.
  • Builds dashboards, reports, and visualisations that support decision‑making across the organisation.
  • Conducts exploratory data analysis to identify patterns and inform product and business strategy.
  • Develops, trains, and deploys machine learning models for use cases such as: attendee behaviour prediction, personalised event recommendations, exhibitor and sponsor performance forecasting, churn and retention modelling, anomaly detection for operational insights.
  • Monitors model performance and continuously improve accuracy, reliability, and scalability.
  • Supports the introduction of AI tooling across teams, including: automated analytics and reporting, AI‑assisted content generation, intelligent customer support tools, workflow automation.
  • Contributes to the development of AI‑powered products and services such as: personalised event journeys, AI‑driven matchmaking between attendees and exhibitors, predictive event insights for partners and sponsors.
  • Ensures AI solutions follow ethical, transparent, and responsible‑AI principles.
  • Collaborates with DataOps and engineering teams to build and maintain reliable data pipelines.
  • Ensures data quality, consistency, and availability for analytics and AI use cases.
  • Supports the integration of new data sources, including event systems, CRM platforms, and third‑party tools.
  • Develops insights that support the unique dynamics of live events and iGaming audiences.
  • Analyzes event engagement, session attendance, exhibitor interactions, and digital behaviour.
  • Provides data‑driven recommendations to improve event design, marketing, and product features.
  • Works closely with product managers, designers, marketers, and event teams to translate business needs into analytical solutions.
  • Communicates complex findings in clear, actionable ways to both technical and non‑technical stakeholders.
  • Contributes to a culture of data literacy and evidence‑based decision‑making across the organisation.

Requirements

  • Strong proficiency in Python, R, SQL, and machine learning frameworks
  • Experience with data visualisation tools (e.g., Power BI, Tableau, Looker)
  • Knowledge of cloud‑based data platforms and ML environments
  • Familiarity with AI/ML concepts, model deployment, and MLOps practices
  • Strong analytical thinking and problem‑solving skills
  • Ability to communicate insights clearly and persuasively
  • Understanding of event‑driven user behaviour and iGaming analytics is a plus
  • Educated to degree level in a numerate or technical discipline, Masters preferred.
  • 5+ years of technical experience in data science, machine learning, analytics, or related fields
  • 1-2+ years of management or mentorship experience (team leadership, project leadership, or guiding junior analysts)
  • Experience working with event data, digital engagement analytics, or iGaming data sets
  • Proven track record of developing and deploying machine learning models in production
  • Experience introducing AI tooling or contributing to AI‑enabled product development
  • Background working with cross‑functional teams in fast‑paced environments
Benefits
  • Free iGaming Academy access -Learn the ins and outs of the industry with access to courses.
  • Travel perks - Visit our international offices and attend industry events worldwide.
  • Performance rewards - High performers are recognized and fast-tracked with annual reviews and bi-yearly performance checks ins.
  • Interest-free car loan after probation (T&Cs apply)
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonRSQLmachine learningdata visualizationMLOpsdata analysismodel deploymentcloud-based data platformsevent data analysis
Soft Skills
analytical thinkingproblem-solvingcommunicationteam leadershipmentorshipcollaborationdata literacypersuasiondecision-makingadaptability
Certifications
degree in numerate disciplineMasters preferred