Senior Data Scientist (Loyalty Analytics)

Job Summary

We are looking for a Senior Data Scientist to help shape the next generation of loyalty experiences through advanced analytics, experimentation, and machine learning. You will partner with product, marketing, engineering, and analytics teams to turn complex loyalty data into measurable business impact. The role will work with loyalty data products including member profiles, balances, and tier information, while helping stakeholders use trusted, well-governed data products effectively.

Location: Bangalore, Karnataka, India

Job Details

• Job Type: Full time
• Experience: 7+ Years
• Job Opening Name: Senior Data Scientist (Loyalty Analytics)

Responsibilities

• Develop analytical and machine-learning solutions to improve member acquisition, engagement, retention, and lifetime value.
• Build segmentation, propensity, recommendation, uplift, and optimization models for loyalty use cases.
• Design and analyze experiments, including test-and-control frameworks and causal-impact measurement.
• Translate business questions into rigorous analytical approaches and actionable recommendations.
• Partner with product managers, engineers, analysts, marketers, and other data scientists to define priorities and deliver production-ready solutions.
• Establish success metrics and measurement frameworks for loyalty initiatives.
• Communicate findings clearly to technical and non-technical audiences, including senior stakeholders.
• Promote high standards for data quality, reproducibility, model governance, and responsible use of customer data.
• Contribute to the evolution of the organisations loyalty data platform and data products.

What youll bring

• Significant experience in data science, advanced analytics, or a closely related quantitative field.
• Strong programming skills in Python and SQL.
• Practical experience with statistical modelling, machine learning, experimentation, and causal inference.
• Experience working with customer, marketing, CRM, membership, rewards, or personalization data.
• Ability to work with large-scale, complex, and evolving data environments.
• Strong product sense and the ability to connect analytical outputs to customer and commercial outcomes.
• Excellent written and verbal communication skills.
• A collaborative, pragmatic approach and a track record of delivering outcomes through cross-functional partnerships.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.