Data Scientist

Job Title: Data Scientist

Department: Tech
Location: Cyprus / Serbia / Armenia / India
Employment Type: Full-time

About SiGMA Group

Founded in 2014 and headquartered in Malta SiGMA Group now employs over 250 professionals across six global offices including Malta Cyprus Serbia São Paulo Manila and India. SiGMA is a global leader in gaming emerging tech affiliate marketing events and media best known for its marquee summits like SiGMA Malta and iGaming Academy. The companys culture champions inclusivity sustainability collaboration and philanthropic impact under its SiGMA Foundation initiative

About the role

The Data Scientist plays a central role in transforming how Sigma group uses data to enhance event experiences optimise operations and drive innovation across the iGaming and broader events portfolio. This role is responsible for building predictive models generating insights developing AIpowered capabilities and supporting the introduction of AI tooling across the organisation.

The ideal candidate combines strong analytical and technical skills with creativity curiosity and a passion for solving complex problems using data. They will work closely with product engineering marketing and event operations teams to deliver datadriven solutions that improve customer engagement operational efficiency and commercial performance.

Key Responsibilities

Data Analysis & Insight Generation

• Analyses attendee exhibitor and event performance data to uncover trends behaviours and opportunities.
• Builds dashboards reports and visualisations that support decisionmaking across the organisation.
• Conducts exploratory data analysis to identify patterns and inform product and business strategy.

Machine Learning & Predictive Modelling

• 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.

AI Tooling & AIDriven Product Development

• Supports the introduction of AI tooling across teams including:
  • automated analytics and reporting
  • AIassisted content generation
  • intelligent customer support tools
  • workflow automation
• Contributes to the development of AIpowered products and services such as:
  • personalised event journeys
  • AIdriven matchmaking between attendees and exhibitors
  • predictive event insights for partners and sponsors
• Ensure AI solutions follow ethical transparent and responsibleAI principles.

Data Engineering & Pipeline Support

• 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 thirdparty tools.

Events & iGaming Analytics

• Develops insights that support the unique dynamics of live events and iGaming audiences.
• Analyses event engagement session attendance exhibitor interactions and digital behaviour.
• Provides datadriven recommendations to improve event design marketing and product features.

Collaboration & Stakeholder Engagement

• 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 nontechnical stakeholders.
• Contributes to a culture of data literacy and evidencebased decisionmaking across the organisation.

Qualifications

Key Skills & Competencies

• Strong proficiency in Python R SQL and machine learning frameworks
• Experience with data visualisation tools (e.g. Power BI Tableau Looker)
• Knowledge of cloudbased data platforms and ML environments
• Familiarity with AI/ML concepts model deployment and MLOps practices
• Strong analytical thinking and problemsolving skills
• Ability to communicate insights clearly and persuasively
• Understanding of eventdriven user behaviour and iGaming analytics is a plus

Preferred Experience

• 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 AIenabled product development
• Background working with crossfunctional teams in fastpaced environments

Why SiGMA Group

• Grow with us - Be part of SiGMAs global expansion and make your mark.
• 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)

Required Experience:

Senior IC