Data Scientist

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Join our dynamic team to solve real business challenges using data science, AI, and machine learning. We're looking for a curious and analytical thinker who thrives on innovation and impact. The role further entails,

  • Design, develop, and deploy AI/ML models to uncover patterns, predict trends, and solve high-impact business challenges.
  • Accelerate revenue growth and margin improvement through analytical support in areas such as pricing strategy, promotional effectiveness, and strategic sourcing.
  • Collaborate with cross-functional teams to ensure data science solutions are aligned with evolving business needs.
  • Promote a culture of data literacy by simplifying complex AI and analytics concepts, enabling wider adoption across the organization.
  • Embed automation and predictive intelligence into key processes to drive operational efficiency and proactive decision-making.
  • Generate actionable insights to enhance the effectiveness and personalization of customer-facing initiatives across regions, channels, and product categories.
  • Collaborate with data engineering teams to ensure robust data pipelines, clean data architecture, and scalable infrastructure for model development and deployment.


Qualification & Experience


  • Bachelor’s degree in data science, Computer Science or Statistics from a recognized university.
  • 2-3 years of professional experience in developing and deploying AI, advanced statistical and machine learning models preferably within the FMCG, retail, or consumer goods industry.
  • Proficiency in data science oriented languages such as Python, R and SQL
  • Proven experience in leading AI/ML initiatives with measurable business impact.
  • Experience in deploying and maintaining models in cloud environments like AWS, Azure, or Google Cloud Platform.
  • Strong command of predictive modeling, classification, regression, clustering, uplift modeling, and time-series forecasting.
  • Familiarity with data pipelines, ETL processes, and collaborating with data engineering teams.
  • Excellent written and oral English communication skills, with the ability to convey complex concepts to both technical and non-technical audiences.

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