Data Science Manager - Supply Chain & Manufacturing

ZS; Maharashtra; Hybrid; INR 2,000,000 - 3,000,000; Full time

Benefits offered by this job

Comprehensive total rewards package

Flexible working model

Robust skills-building programs

Job summary

ZS, located in Maharashtra, India, is seeking a Data Science Manager to drive AI and data science solutions in the Supply Chain and Manufacturing sector. The role involves leading projects, mentoring data scientists, and developing innovative analytical solutions.

Ideal candidates should have a PhD or significant experience in analytics, 8+ years of relevant experience, and strong communication skills. The position offers a hybrid working model, supporting personal growth and collaboration.

Qualifications

• 8+ years of relevant post-collegiate work experience; in lieu of a PhD, 10+ years of work experience may substitute.
• Experience leading a team of data scientists, data engineers, domain experts.
• Proven track record of business development.

Responsibilities

• Drive client engagements and lead end-to-end development & deployment of AI/ML/data science solutions.
• Lead large scale client delivery engagements in AI projects.
• Architect and develop predictive models, optimization algorithms, and statistical analyses.

Skills

AI

Machine Learning

Data Science

Problem Solving

Team Management

Communication

Education

PhD in Computer Science, Statistics or related discipline

Tools

Python

R

Job description

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side‑by‑side with a powerful collective of thinkers and experts shaping life‑changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client‑first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life‑changing impact to ZS.

Data Science Manager – Supply Chain & Manufacturing

About Advanced Data Science (ADS): ZS’s Advanced Data Science group is focused on creating practical impact for clients across various industries such as Healthcare and Bio‑Tech, Hi‑Tech & Telecommunication, Financial Services and Travel through advanced analytics and emerging data sources. Emerging datasets include both unstructured datasets (for example, text, voice, image, etc.) and semi‑structured datasets (for example, patient‑level records). Advanced analytical techniques span a range of innovative machine learning, artificial intelligence, advanced statistics and optimization approaches.

Data Science Managers (DSMs) design, develop and execute analytic techniques on large, complex, structured and unstructured data sets (including big data) to help clients make better fact‑based decisions. DSMs will develop new offerings/solutions, drive client impact by delivering client solutions and shape the ZS point of view in this space. You will be responsible for applying analytical techniques to model complex business problems, uncovering insights, and identifying opportunities using statistical, algorithmic, mining, and visualization techniques.

What You’ll Do

• Drive client engagements and lead end‑to‑end development & deployment of AI/ML/data science solutions as per client requirement.
• Lead large scale client delivery engagements in AI projects for the Supply Chain & Manufacturing Industry.
• Architect and develop predictive models, optimization algorithms, and statistical analyses.
• Lead and mentor a team of data scientists, providing guidance and support to ensure the successful execution of client projects.
• Drive business and strategy development through project delivery and client relationship management.
• Develop/sell new business opportunities.
• Direct multiple projects simultaneously, honing analytic and project management skills.
• Play a key role in development of data science capabilities and offerings that create scale and advance our analytic platform.
• Motivate, coach and serve as a role model for project team members.
• Provide thought leadership and innovation through research and publication.

What You’ll Bring

• PhD degree in Computer Science, Statistics or related discipline;
• 8+ years of relevant post‑collegiate work experience; in lieu of a PhD, 10+ years of work experience may substitute.
• Hands‑on experience in applying advance analytics leveraging techniques of AI, ML to Supply Chain areas like Demand Planning, Forecasting, Supply Planning, Inventory Management, Logistics.
• Experience leading a team of data scientists, data engineers, domain experts, LLM engineers, DevOps across multiple projects.
• Experience with big data, claims analytics, advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, Gen AI, proficiency with large language models etc.).
• Relevant programming background (e.g. Python/R).
• Proven track record of business development.
• Agile project planning and project management experience.
• Team management and skill development experience.
• Relevant domain knowledge preferred (healthcare, pharma).
• Excellent oral and written communication skills.
• Strong attention to detail, with a research‑focused mindset.
• Excellent critical thinking and problem solving skills.

How you’ll grow

• Cross‑functional skills development & custom learning pathways.
• Milestone training programs aligned to career progression opportunities.
• Internal mobility paths that empower growth via s‑curves, individual contribution and role expansions.

Perks & Benefits

At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well‑being, financial future, time away, and professional development. With robust skills‑building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you’ll have the opportunity to do meaningful work, expand your capabilities and thrive as part of a global community. For details on total rewards in India, visit ZS India office locations | Where we work | ZS.

Hybrid working model

We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on‑site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face‑to‑face connections.

Travel

Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client‑facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences and enhance professional growth by working in different environments and cultures.

Inclusion and belonging

At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems—the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.

Equal Opportunity

ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.