Consultancies

Software Delivery Analyst (Data Science) - Manufacturing and Supply Chain

at McKinsey & Company

JuniorNo visa sponsorshipData Science/AI/ML

Posted 6 days ago

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Compensation: Not specified
City: Chennai, Gurugram
Country: India

McKinsey is seeking a Software Delivery Analyst (Data Science) in Manufacturing and Supply Chain. You will work in client teams to diagnose issues and customize and implement analytical tools across the client’s organization. You will apply a tech-enabled approach to address end-to-end supply chain planning challenges—from demand forecasting and inventory management to S&OP, production planning and scheduling, and order management—tailoring digital tools to fit precise client contexts. Projects range from quick diagnostics to multi-month digital implementations, with opportunities to present results to client management and implement recommendations.

Analytics

Software Delivery Analyst (Data Science) - Manufacturing and Supply Chain

Job ID: 104377

Chennai
Gurugram

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Do you want to work on complex and pressing challenges—the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you’ve come to the right place.

Your Impact

You’ll work in teams playing an active role in the client engagement. Typically, your specific project activities include performing diagnostics and customizing and implementing our analytical tools across the clients’ organization.

You will use a tech-enabled approach to tackle client challenges related to end-to-end supply chain planning from demand forecasting and inventory management to S&OP, production planning and scheduling, and order management. The increasing complexity of integrated tactical and operational systems, combined with an explosion of data, makes these topics both top-of-mind and deeply challenging for many clients. Capitalizing upon your analytics and data science background, you will fortify and enhance Manufacturing and Supply Chain's (MSC’s) digital tools to customize the output to precise client situations. Most importantly, you will develop insights and implement solutions which produce tangible and lasting impact on our clients’ operational performance.

Your client’s projects will range from quick diagnostics up to multi-month digital implementations. In between studies, you will bring your learnings back to our internal team to help refine digital modules and ideate powerful new capabilities.

Through your work, you’ll have opportunities to present results to client management and implement recommendations in collaboration with client team members. You’ll gain new skills and build on the strengths you bring to the firm.

Your Growth

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

When you join us, you will have:

Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

Your qualifications and skills

Master’s degree in an analytics/data centric area such as supply chain management, mathematics, statistics, computer science, data science, or industrial engineering
1-3 years of operations research, analytics and/or data science work in industry with a focus on supply chain topics (internships may count as work experience)
Outstanding record of academic achievement
Knowledge of analytical concepts relevant for supply chain optimization, such as statistics, time-series analyses, and classical operations research methods, in particular mathematical programming (esp. mixed-integer linear programming) and corresponding IT tools (e.g., Gurobi, CPLEX, AIMMs), and methods from applied statistics (esp. time series forecasting) and stochastic modelling and optimization (e.g., Markov Decision Processes)
Understanding of IT (e.g. databases and data structures) and demonstrated knowledge of at least one standard programming language (e.g. Python, C++, Java)
Ideally a good understanding of supply chain concepts such as supply chain strategy, production management, scheduling, network design, inventory, and logistics
Demonstrated strong conceptual and analytical skills; success in working on high impact cross-functional teams; strong decision making and problem-solving skills
Demonstrated aptitude for analytics and data science, plus appropriate educational and on-the-job training
Proven record of leadership in a work setting and/or through extracurricular activities, and an entrepreneurial bent
Ability to work effectively with people at all levels in an organization
Ability to communicate complex ideas effectively – both verbally and in writing – in English
Willingness and excitement to travel up to 60 percent and some internationally

Please review the additional requirements regarding essential job functions of McKinsey colleagues.

Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

Industries

Chemicals
Consumer Packaged Goods
Healthcare Systems & Services

+ 2 More

Capabilities

Operations
Technology

+ 1 More

Apply Now Apply Later

FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.

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Job Skill Group - N/A
Job Skill Code - ASWC - Software Delivery Analyst
Function - Operations;Technology
Industry - Chemicals;Consumer Packaged Goods;Healthcare Systems & Services
Post to LinkedIn - Yes
Posted to LinkedIn Date - Wed Jan 07 00:00:00 GMT 2026
LinkedIn Posting City - Gurugram
LinkedIn Posting State/Province -
LinkedIn Posting Country - India
LinkedIn Job Title - Software Delivery Analyst (Data Science) - Manufacturing and Supply Chain
LinkedIn Function - Consulting;Manufacturing;Supply Chain
LinkedIn Industry - Automotive;Chemicals;Pharmaceuticals
LinkedIn Seniority Level - Associate

Your Impact

Your Growth

When you join us, you will have:

Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

Your qualifications and skills

Master’s degree in an analytics/data centric area such as supply chain management, mathematics, statistics, computer science, data science, or industrial engineering
1-3 years of operations research, analytics and/or data science work in industry with a focus on supply chain topics (internships may count as work experience)
Outstanding record of academic achievement
Knowledge of analytical concepts relevant for supply chain optimization, such as statistics, time-series analyses, and classical operations research methods, in particular mathematical programming (esp. mixed-integer linear programming) and corresponding IT tools (e.g., Gurobi, CPLEX, AIMMs), and methods from applied statistics (esp. time series forecasting) and stochastic modelling and optimization (e.g., Markov Decision Processes)
Understanding of IT (e.g. databases and data structures) and demonstrated knowledge of at least one standard programming language (e.g. Python, C++, Java)
Ideally a good understanding of supply chain concepts such as supply chain strategy, production management, scheduling, network design, inventory, and logistics
Demonstrated strong conceptual and analytical skills; success in working on high impact cross-functional teams; strong decision making and problem-solving skills
Demonstrated aptitude for analytics and data science, plus appropriate educational and on-the-job training
Proven record of leadership in a work setting and/or through extracurricular activities, and an entrepreneurial bent
Ability to work effectively with people at all levels in an organization
Ability to communicate complex ideas effectively – both verbally and in writing – in English
Willingness and excitement to travel up to 60 percent and some internationally