Loyalty Data Scientist

Key responsibilities:

Stakeholder Engagement, Leadership and Strategy

• Utilise data analysis techniques to create targeted marketing strategies that cater to individual customer preferences and behaviours.
• Leverage raw datasets from multiple sources to identify patterns and trends that enhance offer effectiveness.
• Improve existing models for targeting customers based on in-venue spending, redemption behaviour, and other relevant metrics.
• Collaborate with the Senior Marketing Manager and Lead Loyalty Data Scientist to refine strategies and implement changes.
• Leverage the existing feature store to enhance model performance and provide actionable insights

Data Exploration, Analysis and Modelling

• Proficiency in machine learning, statistical modelling, and data analysis techniques.
• Strong understanding of SQL, Python (including libraries such as Pandas, NumPy, Sci-Kit Learn, and PySpark).
• Experience with Apache Spark, Azure Machine Learning, and PowerBI dashboard creation.
• Ability to interpret and analyse large, complex datasets to identify trends and drive actionable decisions.
• Excellent communication and collaborative skills for effective cross-functional teamwork.
• Adaptability in a fast-paced, multi-stakeholder environment.

Key Skills & Attributes:

Technical Skills

• Proficiency in programming languages such as Python, R.
• Proficiency in statistical analysis and machine learning algorithms.
• Advanced knowledge of feature engineering and dimensionality reduction techniques
• Advanced knowledge of confidence intervals and significance testing
• Understanding of CI/CD pipelines and experience with MLOps

Soft Skills

• Excellent problem-solving and analytical thinking.
• Strong communication skills with the ability to understand business needs and explain complex concepts to non-technical stakeholders.
• Ability to work in a fast-paced environment and manage multiple projects simultaneously.
• Autonomy in planning and implementation.

• Ability to research and implement complex algorithms and techniques.

Desirable Skills

• Experience with NLP, computer vision, or deep learning techniques.
• Experience in deploying machine learning models to production environments.
• Familiarity with Azure cloud and MS Fabric.

Qualifications:

• Preference will be given to candidates with experience working on loyalty programs or similar initiatives, along with tertiary qualifications in a STEM related field.

Key experience:

• 4+ years of experience on data science problems with a Python data science stack.
• Proven track record in analysing customer behaviour and personalising offers
• Prior exposure to retail or e-commerce sectors is a plus
• Demonstrated success in collaborating with and managing relationships with diverse stakeholders.