Sr. Data Scientist

Overview

Develop and scale AI-enabled products, analytics platforms and self-service decision-support capabilities for business teams across CEMEA. This individual contributor role combines Data Science, Software Engineering, GenAI and Business Analytics, with hands-on design, development and deployment of solutions.

What you'll do

• Design, develop and deploy AI-powered business applications and self-service analytics products.
• Build agentic AI solutions using LLMs, GenAI platforms and conversational interfaces.
• Develop AI-enabled decision-support tools that drive measurable business outcomes.
• Own the product lifecycle from ideation through deployment and adoption.
• Build predictive models, optimization solutions and recommendation engines.
• Apply machine learning, statistical modelling and experimentation techniques to solve business problems.
• Translate complex business challenges into scalable analytics and AI solutions.
• Deliver measurable business impact through data-driven decision making.
• Enhance and expand IRIS capabilities and broader Project LEGO initiatives.
• Build self-service analytics solutions that reduce reliance on manual reporting.
• Develop reusable data products, analytical assets and business intelligence solutions.
• Enable business users to access trusted insights through modern analytics experiences.
• Develop production-grade applications using Python and modern development frameworks.
• Build APIs, backend services and scalable analytical workflows.
• Support cloud migration and modernization initiatives.
• Apply software engineering best practices including version control, testing and deployment automation.
• Partner with leaders across Marketing, Cross-Border, Products, Compliance, Corporate Communications and other business functions.
• Gather requirements, prioritize opportunities and communicate insights effectively.
• Act as a trusted advisor on analytics, AI and data-driven decision making.
• Build scalable AI products with measurable business impact.
• Increase adoption of self-service analytics and data democratization capabilities.
• Reduce manual reporting effort through automation and AI.
• Deliver high-quality products independently with minimal oversight.
• Contribute reusable assets and accelerators to the CEMEA Data Science Hub.
• Establish trusted partnerships with business stakeholders and internal teams.

What you'll need

• Bachelor's degree in Computer Science, Data Science, Statistics, Engineering or a related discipline.
• 5+ years of experience in Data Science, Analytics, Machine Learning or AI-related roles.
• Strong proficiency in Python and SQL.
• Strong analytical, problem-solving and communication skills.
• Experience delivering end-to-end analytical or AI solutions.

Nice to have

• Experience developing GenAI, agentic AI or LLM-based applications.
• Experience with FastAPI, React or modern application frameworks.
• Experience building self-service analytics or data products.
• Experience with cloud platforms and modern data architectures.
• Experience working directly with business stakeholders and senior leaders.
• Experience operating independently in a fast-paced environment.
• Python.
• SQL.
• Machine Learning.
• Generative AI / LLMs.
• FastAPI.
• React.
• LangChain or Agentic Frameworks.
• Cloud Platforms.
• Git / CI-CD.
• Data Visualization & BI Tools.

Details

• Location: Bengaluru, India.
• This is a hybrid position.
• Expectation of days in the office will be confirmed by your Hiring Manager.
• Role type: Individual Contributor (Hands-on Development & Product Delivery Role).
• People management responsibility: None.