Data Scientist
Summary
Build and apply predictive models to analyze customer behavior and optimize marketing and operations for a global online betting company using SQL, Python/R, and PowerBI.
Job Summary
Data Scientist – Analytics & Insights
Reporting to: Data Scientist Team Lead; Department: Analytics & Insights
We are seeking a driven Data Scientist to optimize and present large data sets to stakeholders, driving performance across Betway’s operations.
Responsibilities
- Research, develop and apply methods for measuring, analysing and optimising processes and marketing interventions.
- Identify appropriate models or algorithms to mine large datasets and generate insights into customer behaviour.
- Extract, analyse and interpret data from a variety of sources.
- Collaborate with business areas to solve complex problems using mathematical and statistical techniques.
- Build predictive models with machine learning tools and statistical techniques.
- Improve data processes and automate manual operations.
- Use data visualisation tools to present findings clearly to business stakeholders.
- Provide reports using SQL and analytical practices.
- Proactively identify opportunities to apply data and models to improve business outcomes.
- Lead incident investigations to root causes in data pipelines.
Essential Qualifications
- 3+ years of Data Analytics experience.
- Statistical, Actuarial, Applied Mathematics or a related degree.
- Strong quantitative and qualitative analytical skills.
- Excellent communication, reporting and problem‑solving abilities.
- Experience managing a data analytics team.
- Advanced proficiency in Microsoft SQL Server, SSRS, SSIS, PowerBI, R and/or Python.
- Advanced Excel knowledge.
- Detail‑oriented, organized and able to multitask in a high‑pressure environment.
Desirable Skills
- Adaptability to change.
- Strong accountability and ownership.
- Effective written and oral communication.
- Ability to work independently and collaboratively across multidisciplinary teams.
Values
- Adaptability
- Ownership and accountability
- Initiating action
- Resilience
- Team orientation
- Integrity
- Innovation
Benefits
- Comprehensive learning and development programmes.
- Performance feedback system.
- Employee Assistance Programme.
- Subsidised lunch.
- Medical aid.
- Provident fund.
- Diversity and inclusion focus across 22 countries.
All applicants will be subject to a credit and criminal record check where required. Should you not hear from us within two weeks, please consider your application unsuccessful.
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