Senior Data Scientist (Loyalty Analytics)

Prescience Decision Solutions; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Benefits offered by this job

Competitive salary and performance‑drz

Job summary

Prescience Decision Solutions in Bengaluru seeks a Senior Data Scientist specialized in Loyalty Analytics to shape next-gen loyalty experiences through advanced analytics and ML. You will partner with product, marketing, and engineering to turn loyalty data into measurable business impact.

The role requires deep experience in data science, Python and SQL, and the ability to translate business questions into rigorous analytical methods, delivering production-ready solutions and governance for

Qualifications

• Significant experience in data science or analytics.
• Strong Python and SQL skills.
• Experience with statistical modelling, machine learning, experimentation, and causal inference.
• Familiarity with loyalty or customer data preferred.

Responsibilities

• Develop analytical and machine-learning solutions to improve loyalty metrics and outcomes.
• 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.
• Collaborate with product managers, engineers, analysts, marketers, and other data scientists to 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 organisation's loyalty data platform and data products.

Skills

Python

SQL

Statistical modelling

Machine learning

Experimentation

Causal inference

Loyalty data

Cross-functional collaboration

Communication

Job description

Prescience Decision Solutions | Full time

Senior Data Scientist (Loyalty Analytics)

Prescience Decision Solutions, established in 2017, partners with Fortune 500 and mid-sized companies globally to unlock enterprise data and drive improved decision-making. We specialize in Data Science, Advanced Analytics, and Data Engineering, integrating AI and machine learning to deliver measurable business value and ROI.

Headquartered in Bangalore, our ‘Business Backward’ approach ensures a deep understanding of your challenges, enabling us to provide tailored, impactful solutions.

Founded by industry leaders from IIT and IIM, Prescience is a bootstrapped and profitable company with a strong project pipeline.

Our commitment to excellence has earned us recognition as one of the top three startups in the People Excellence category by xto10x, with a 97 percentile employee NPS, 100% mutual respect among employees, and a 98% employee pride rate.

As an equal opportunity employer, we are dedicated to fostering a diverse and inclusive workplace, free from discrimination based on caste, religion, gender, sexual orientation, nationality, or other protected characteristics.

To learn more, subscribe to our YouTube channel: YouTube Link.

Role Overview

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.

Job Description

What you'll do

• 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 organisation's loyalty data platform and data products.

What you'll 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.

Preferred qualifications

• Experience with loyalty, travel, marketplaces, subscriptions, rewards, or customer lifecycle analytics.
• 8+ years of experience in a similar analytical role.
• Experience developing models that influence customer journeys or marketing decisions.
• Experience taking models from prototyping through deployment, monitoring, and iteration.

• Competitive salary and performance-based bonuses.
• Comprehensive insurance plans.
• Collaborative and supportive work environment.
• Chance to learn and grow with a talented team.