# Data ScientistCapgeminiPosted on October 8, 2026---Experience6 - 8 yrsJob LocationPune, IndiaVacancy1DesignationData ScientistJob TypeONSITE---## Job Description## Job SummaryWe are seeking an experienced Data Scientist with a strong focus on **supply chain analytics** to drive inventive transformation. The ideal candidate will possess expertise in **programming languages** (Python/Java/Scala), **Cloud platforms** (Azure, ADF, Data bricks), **machine learning frameworks**, and **big data ecosystems**. This role requires a professional with significant experience in **data science**, including areas like **demand forecasting**, **inventory optimization**, and **pricing strategies**, preferably within a **consulting environment**.## About the RoleAt Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.## Key Responsibilities* Conduct in-depth analysis of **customer behaviour** and preferences to inform **feature engineering** and **model architecture** decisions.## Requirements* **Bachelor's degree** or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 4 years of experience in **Information Technology**.* Good experience in **programming languages** such as **Python**/**Java**/**Scala**, **SQL** and experience with **data visualization tools** like **Tableau** or **Power BI** etc. At least 3 years of experience in **Cloud platforms** (e.g., **ADF**, **Data bricks**, **Azure**) and their **AI services**.* At least 6-8 years of experience in **data science** & 1 year with a focus on **supply chain analytics**, **supply chain processes**, including **demand forecasting**, **inventory optimization**, **logistics**, and **procurement**.* Experience with **machine learning frameworks**, **optimization solvers**, and **big data ecosystems** (e.g., **Hadoop**, **Spark**). **Advanced degree** (Master's or Ph.D.) in **Data Science**, **Manufacturing Management and process** , **Operations Research**, **Industrial Engineering**, or a related field.* Experience in **price sensitivity analysis**, **cost-plus pricing**, **value-based pricing**, **promotional effectiveness analysis**, and **tiered pricing strategies**. Experienced in **Agile** way of working, manage team effort and track through **JIRA**.* Experience in **Proposal**, **RFP**, **RFQ** and **pitch creations** and delivery to the big forum.* Experience in **POC**, **MVP**, **PoV** and assets creations with innovative use cases. High Impact **client communication**. Experience working in a **consulting environment** is highly desirable.## What We Offer* We recognize the significance of **flexible work arrangements** to provide support. Be it **remote work**, or **flexible work hours**, you will get an environment to maintain healthy **work life balance**.* At the heart of our mission is your **career growth**. Our array of **career growth programs** and diverse professions are crafted to support you in exploring a world of opportunities.* Equip yourself with valuable **certifications** in the latest technologies such as **Generative AI**.## About the CompanyCapgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.