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Data Science Lead - India Distribution

Sun Pharmaceutical Industries Ltd -
Mumbai, Maharashtra

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Job details

Qualifications

Statistics
Cloud infrastructure
Azure
Computer Science
Enterprise Software
Supply chain
Master's degree
SQL
AWS
Bachelor's degree
VBA
ETL
Data science
Communication skills
Python
Data Science
Analytics

Full job description

Data Science Lead - India Distribution

Date: 26 Jul 2026

Location: Sun House - Corporate Office

Company: Sun Pharmaceutical Industries Ltd

Job Title:

Business Unit:

Global Supply Chain

Job Grade

Location :

Sun House, Mumbai

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

Travel Estimate

10–20% depending on stakeholder engagement

Job Requirements

Educational Qualification

Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, or a related field

Experience

10-12+ years of experience in data science, analytics, or related roles
3–5+ years of experience leading teams
Strong experience in global supply chain or operations analytics

Your Success Matters to Us

At Sun Pharma, your success and well-being are our top priorities! We provide robust benefits and opportunities to foster personal and professional growth. Join us at Sun Pharma, where every day is an opportunity to grow, collaborate, and make a lasting impact. Let’s create a brighter future together!

Disclaimer: The preceding job description has been designed to indicate the general nature and level of work performed by employee within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees as assigned to this job. Nothing herein shall preclude the employer from changing these duties from time to time and assigning comparable duties or other duties commensurate with the experience and background of incumbent(s).

Apply Now

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