Join Capgemini Invent as a Data Scientist and drive transformative solutions informed by science and data. We leverage strategic, creative, and scientific capabilities to deliver cutting-edge solutions for our clients' challenges. This role emphasizes creativity, design thinking, and technology with purpose.

Capgemini Invent is dedicated to helping organizations accelerate their digital and sustainable transformations. We are a global team committed to creating tangible impact for businesses and society through innovation and expertise.

Conduct in-depth analysis of customer behavior and preferences to refine feature engineering and model architecture.

Key responsibilities include:- - Applying expertise in data science and supply chain analytics. - Performing price sensitivity analysis and developing pricing strategies. - Leading proposal, RFP, and RFQ creation and delivery. - Developing Proofs of Concept (POCs), Minimum Viable Products (MVPs), and Points of View (PoVs) with innovative use cases. - Communicating effectively with clients to drive high impact.

We are seeking experienced professionals with a Bachelor's degree or equivalent, or three years of progressive experience in lieu of each year of education. A minimum of 4 years of IT experience is required.

Essential qualifications include: - Proficiency in programming languages like Python, Java, or Scala, and SQL. - Experience with data visualization tools such as Tableau or Power BI. - At least 3 years of experience with cloud platforms (e.g., ADF, Data bricks, Azure) and their AI services. - 6-8 years of overall data science experience, with at least 1 year focused on supply chain analytics, demand forecasting, inventory optimization, logistics, and procurement. - Experience with machine learning frameworks, optimization solvers, and big data ecosystems (e.g., Hadoop, Spark). - Experience in Agile methodologies and project tracking using JIRA. - Experience in consulting environments is highly desirable.