Senior Data Scientist (Loyalty Analytics) (Bengaluru)

Important Group
Department Icon Data Science Analytics & Machine Learning
Posted: 1 day ago
8-12 years
Bangalore
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 25 Dec 2026
Posted: 1 day ago
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Job Description

  • Senior Data Scientist (Loyalty Analytics) (Bengaluru)
  • Company: Important Group
  • Job Location: Bengaluru, Karnataka, India
  • Employment Type: Full-time
  • Experience Required: 8+ years
  • 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.
  • Requirements
  • 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.
  • Graduate degree in statistics, computer science, operations research, economics, mathematics, or a related quantitative discipline.
  • Benefits
  • Competitive salary and performance-based bonuses.
  • Comprehensive insurance plans.
  • Collaborative and supportive work workplace.
  • Chance to learn and grow with a talented team.
  • A positive and fun work setting. .

Skills

Data ScientistAnalyticsExperimentationMachinelearning SolutionsSQLOptimization ModelsStatistical ModellingPythonCausalimpact MeasurementCustomer DataCausal InferenceMachine Learning

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