Senior Data Scientist

HireFlex; Hyderabad; Hybrid; INR 2,000,000 - 3,000,000; Full time

Benefits offered by this job

Continuous learning opportunities

Job summary

A leading global analytics firm in Hyderabad is seeking a Senior Data Scientist to drive data-driven solutions for complex business challenges. This role requires at least 8 years of experience in Data Science and strong hands-on expertise in Python. Candidates should have a solid grasp of ML model deployment and experience with Azure is a plus. The position offers a hybrid work model and opportunities to work on impactful projects globally.

Qualifications

• 8+ years of experience in Data Science or Machine Learning.
• Very strong hands-on experience with Python.
• Previous experience with Azure or Azure ML is a strong plus.

Responsibilities

• Design data-driven solutions for complex business challenges.
• Build, test, and deploy ML models at scale.
• Perform advanced analytics including forecasting and decision trees.

Skills

Data Science

Machine Learning

Python

OOP concepts

Azure

Job description

Senior Data Scientist | Global Analytics – HEINEKEN

Join HEINEKEN’s Global Analytics team and help drive our journey towards becoming a data-driven, best-connected brewer. You’ll work on high-impact analytics use cases across sales, marketing, logistics, and operations, turning complex business problems into scalable ML solutions.

What we’re looking for

• 8+ years of experience in Data Science or Machine Learning
• Very strong hands‑on experience with Python
• Strong understanding of OOP concepts and ML model deployment
• Have executed multiple end‑to‑end time‑series forecasting projects
• Solid understanding of model validation and production deployment
• This is an individual contributor role
• Previous experience with Azure or Azure ML will be a strong plus

What you’ll do

• Design data‑driven solutions for complex business challenges
• Build, test, and deploy ML models at scale
• Perform advanced analytics including forecasting and decision trees
• Collaborate with data engineers and business stakeholders
• Translate ambiguous problems into clear, actionable insights
• Global and collaborative analytics culture
• Opportunity to work on real business problems at scale
• Hybrid work model with continuous learning opportunities