Overview

We are a fast-growing B2B iGaming company specialising in developing cutting-edge, web-based online gambling platforms. Our live-streaming products and innovative gaming solutions cater to a diverse global audience. As part of our growth, we are expanding our Data and Analytics team to drive data-driven decision-making across the company.

We are seeking an experienced Data Scientist to join our team. The successful candidate will be pivotal in utilising data to inform business strategies, optimise player experience, and improve overall company performance. If you are a data expert who thrives in a fast-paced, dynamic environment and enjoys having a strategic influence, we would love to hear from you.

Key Responsibilities

Data Analysis & Modelling:

Perform advanced data analysis to extract valuable insights from large datasets, including player behaviour, game performance, and operational metrics.

Build and refine predictive models using machine learning techniques to forecast player actions, detect anomalies, and optimise gameplay.

Identify patterns and trends in player behaviour, segment players, and create personalised targeting strategies.

Strategic Planning & Decision-Making:

Collaborate with leadership and product teams to provide data-driven recommendations for business decisions, product roadmaps, and marketing strategies.

Influence long-term strategic planning through data insights, helping to prioritise initiatives and focus areas.

Support decision-making processes by providing scenario modelling, risk assessments, and impact analysis of various business strategies.

Optimisation & A/B Testing:

Design, implement, and analyse A/B tests to optimise product features and gameplay experience.

Work with product and development teams to assess game performance and propose optimisations for improving user retention and engagement.

Player Segmentation & Targeting:

Develop and maintain advanced segmentation models to identify player segments, preferences, and behaviours.

Provide insights to the marketing team for targeted promotions, campaigns, and loyalty programs.

Cross-functional Collaboration:

Partner with Product, Marketing, UI/UX, and Engineering teams to align data insights with business objectives.

Present findings and actionable insights to stakeholders, ensuring they are integrated into product development and business strategies.

Data Infrastructure & Governance:

Contribute to the development and maintenance of scalable data pipelines and data warehousing solutions.

Ensure the quality, accuracy, and security of data through proper governance and data management practices.

Key Requirements

Academic background in data science, Mathematics, Statistics, Computer Science, or a related field.

Minimum of 5+ years of experience as a Data Scientist, ideally within iGaming, gaming, or a fast-paced tech industry.

Strong proficiency in programming languages such as Python, R, or Scala.

Experience with data processing tools like Pandas, NumPy, Spark, or Hadoop.

Proficiency with SQL for data querying and relational database management.

Solid experience in working with machine learning algorithms, predictive modelling, and statistical analysis.

Familiarity with A/B testing, experimental design, and optimisation techniques.

Proven ability to translate data into actionable business insights and strategic recommendations.

Experience in using data to support decision-making and influence business strategies.

Ability to present complex data in a clear, concise manner to non-technical stakeholders.

Strong understanding of iGaming industry trends, player behaviour, and metrics relevant to online gaming and live-streaming platforms.

Experience working with real-time data from gaming systems, live-streaming products, or similar environments is highly desirable.

Data Scientist (iGaming)