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At Sun Pharma, we commit to helping you “Create your own sunshine”— by fostering an environment where you grow at every step, take charge of your journey and thrive in a supportive community.
Are You Ready to Create Your Own Sunshine?
As you enter the Sun Pharma world, you’ll find yourself becoming ‘Better every day’ through continuous progress. Exhibit self-drive as you ‘Take charge’ and lead with confidence. Additionally, demonstrate a collaborative spirit, knowing that we ‘Thrive together’ and support each other’s journeys.”
Key responsibilities:
- Lead and manage the end-to-end data science function for global supply chain operations
- Build, mentor, and scale a high-performing data team (data analysts, data scientists, and engineers)
- Own and enhance distributor ordering and inventory optimization algorithms
- Drive continuous improvement, scalability, and accuracy of ordering and replenishment models
- Lead data and analytics ownership for Kinaxis, including integration, data validation, and ongoing optimization of planning models
- Collaborate with planning, business, and IT teams to ensure effective adoption and performance of Kinaxis
- Translate complex business problems across demand planning, inventory, logistics, and procurement into analytical solutions
- Develop and deploy advanced analytics, statistical models, and data-driven frameworks to improve supply chain KPIs
- Design and oversee data pipelines, data models, and scalable analytics solutions
- Ensure high standards of data quality, governance, and accessibility across systems
- Partner closely with IT teams to align on data architecture, cloud infrastructure (Azure/AWS), and system integrations
- Work with large structured and unstructured datasets from multiple enterprise systems and data lakes
- Drive adoption of analytics solutions by collaborating with global stakeholders and leadership teams
- Present insights and recommendations clearly to senior management
- Continuously identify opportunities for automation and optimization using Python, SQL, and VBA
Technical Skills:
- Expert proficiency in Python for data analysis, modeling, and automation
- Advanced SQL skills for data extraction and transformation
- Strong working knowledge of VBA for automation and legacy systems
- Hands-on experience with Azure or AWS cloud platforms
- Experience with data lakes, ETL processes, and large-scale data handling
Behavioral Competencies:
- Strong leadership and stakeholder management skills
- Excellent analytical and problem-solving ability
- Strong communication skills (technical and non-technical audiences)
- Ability to work in a fast-paced, global, cross-functional environment
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Educational Qualification
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- Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, or a related field
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